@article{kamath2025deepfri,author={},title={{DeepFRI:} A Deep Plug-and-Play Technique for Finite-Rate-of-Innovation Signal Reconstruction},journal={IEEE Transactions on Signal Processing},year={2025},url={https://ieeexplore.ieee.org/abstract/document/11080367},doi={10.1109/TSP.2025.3589394}}
ICASSP 25
Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition
A. J. Kamath, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{kamath2025neuromorphic,author={Kamath, A. J. and Seelamantula, C. S.},title={Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BJbdYPG6LGMC},}
ICASSP 25
Diffusion Model Based Image Reconstruction in Lensless Imaging
A. Verma, V. Boominathan, A. Veeraraghavan, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{verma2025diffusion,author={Verma, A. and Boominathan, V. and Veeraraghavan, A. and Seelamantula, C. S.},title={Diffusion Model Based Image Reconstruction in Lensless Imaging},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:vDZJ-YLwNdEC},}
ICASSP 25
On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems
A. J. Kamath, A. S. Bhandiwad, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{kamath2025design,author={Kamath, A. J. and Bhandiwad, A. S. and Seelamantula, C. S.},title={On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:artPoR2Yc-kC},}
ICASSP 25
Monte Carlo Score Matching for Image Generation
N. Shetty, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{shetty2025monte,author={Shetty, N. and Seelamantula, C. S.},title={Monte Carlo Score Matching for Image Generation},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tH6gc1N1XXoC},}
ICASSP 25
Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks
K. K. R. Nareddy, I. Perumal, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{nareddy2025intriguing,author={Nareddy, K. K. R. and Perumal, I. and Seelamantula, C. S.},title={Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:gKiMpY-AVTkC},}
MICCAI-UWDR 25
EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images
M. Bakshi, and C. S. Seelamantula
In MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2025
@inproceedings{bakshi2025efficientnet,author={Bakshi, M. and Seelamantula, C. S.},title={EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images},booktitle={MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ak0FvsSvgGUC},}
MIDL-SP 25
Obscure to Observe: A Lesion-Aware MAE for Glaucoma Detection from Retinal Context
S. Bharadwaj, P. Seth, and C. S. Seelamantula
In Medical Imaging with Deep Learning-Short Papers, 2025
@inproceedings{bharadwaj2025obscure,author={Bharadwaj, S. and Seth, P. and Seelamantula, C. S.},title={Obscure to Observe: A Lesion-Aware MAE for Glaucoma Detection from Retinal Context},booktitle={Medical Imaging with Deep Learning-Short Papers},year={2025},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Bg7qf7VwUHIC},}
2024
SIIMS 24
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices
K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula
@article{nareddy2024tight,author={Nareddy, K. K. R. and Kamath, A. J. and Seelamantula, C. S.},title={Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices},journal={SIAM Journal on Imaging Sciences},year={2024},volume={17},number={3},pages={1587--1618},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5MTHONV0fEkC},}
ICASSP 24
Neuromorphic Sensing Meets Unlimited Sampling
A. J. Kamath, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
@inproceedings{kamath2024neuromorphic,author={Kamath, A. J. and Seelamantula, C. S.},title={Neuromorphic Sensing Meets Unlimited Sampling},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_OXeSy2IsFwC},}
ICASSP 24
Variational Analysis of Adversarial Regularization for Solving Inverse Problems
A. S. Bhandiwad, A. J. Kamath, S. Asokan, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
@inproceedings{bhandiwad2024variational,author={Bhandiwad, A. S. and Kamath, A. J. and Asokan, S. and Seelamantula, C. S.},title={Variational Analysis of Adversarial Regularization for Solving Inverse Problems},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GFxP56DSvIMC},}
ICASSP 24
Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors
K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
@inproceedings{nareddy2024image,author={Nareddy, K. K. R. and Kamath, A. J. and Seelamantula, C. S.},title={Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8xutWZnSdmoC},}
ICVGIP 24
Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection
A. N. Herur, V. Santhosh, N. Shetty, and C. S. Seelamantula
In Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), 2024
@inproceedings{herur2024addressing,author={Herur, A. N. and Santhosh, V. and Shetty, N. and Seelamantula, C. S.},title={Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection},booktitle={Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nVrZBo8bIpAC},}
SPCOM 24
Method of Alternating Proximations for Solving Linear Inverse Problems
A. J. Kamath, N. K. K. Reddy, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2024
@inproceedings{kamath2024method,author={Kamath, A. J. and Reddy, N. K. K. and Seelamantula, C. S.},title={Method of Alternating Proximations for Solving Linear Inverse Problems},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:lvd772isFD0C},}
ICASSP 24
Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling
N. Shetty, M. Bandla, N. Neema, S. Asokan, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
@inproceedings{shetty2024momentum,author={Shetty, N. and Bandla, M. and Neema, N. and Asokan, S. and Seelamantula, C. S.},title={Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2024},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZzlSgRqYykMC},}
2023
Sci. Data 23
Chákṣu: A glaucoma specific fundus image database
J. R. H. Kumar, C. S. Seelamantula, J. H. Gagan, Y. S. Kamath, N. I. R. Kuzhuppilly, and others
@article{kumar2023chaksu,author={Kumar, J. R. H. and Seelamantula, C. S. and Gagan, J. H. and Kamath, Y. S. and Kuzhuppilly, N. I. R. and others},title={Ch{\'a}k{\d{s}}u: A glaucoma specific fundus image database},journal={Scientific data},year={2023},volume={10},number={1},pages={70},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HtS1dXgVpQUC},}
Nat. Nanotechnol. 23
Achieving nanoscale precision using neuromorphic localization microscopy
R. Mangalwedhekar, N. Singh, C. S. Thakur, C. S. Seelamantula, M. Jose, and others
@article{mangalwedhekar2023achieving,author={Mangalwedhekar, R. and Singh, N. and Thakur, C. S. and Seelamantula, C. S. and Jose, M. and others},title={Achieving nanoscale precision using neuromorphic localization microscopy},journal={Nature Nanotechnology},year={2023},volume={18},number={4},pages={380--389},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:DJbcl8HfkQkC},}
IEEE TCI 23
Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion
S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula
@article{mache2023introducing,author={Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},title={Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion},journal={IEEE Transactions on Computational Imaging},year={2023},volume={9},pages={475--489},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HeT0ZceujKMC},}
JMLR 23
Euler-Lagrange analysis of generative adversarial networks
@article{asokan2023euler,author={Asokan, S. and Seelamantula, C. S.},title={Euler-Lagrange analysis of generative adversarial networks},journal={Journal of Machine Learning Research},year={2023},volume={24},number={126},pages={1--100},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yMeIxYmEMEAC},}
arXiv 23
Neuromorphic sampling of signals in shift-invariant spaces
@article{kamath2023neuromorphic,author={Kamath, A. J. and Seelamantula, C. S.},title={Neuromorphic sampling of signals in shift-invariant spaces},journal={arXiv preprint arXiv:2306.05103},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:a3BOlSfXSfwC},}
arXiv 23
Data Interpolants–That’s What Discriminators in Higher-order Gradient-regularized GANs Are
@article{asokan2023data,author={Asokan, S. and Seelamantula, C. S.},title={Data Interpolants--That's What Discriminators in Higher-order Gradient-regularized GANs Are},journal={arXiv preprint arXiv:2306.00785},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:r_AWSJRzSzQC},}
CVPR 23
Spider GAN: Leveraging friendly neighbors to accelerate GAN training
S. Asokan, and C. S. Seelamantula
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
@inproceedings{asokan2023spider,author={Asokan, S. and Seelamantula, C. S.},title={Spider GAN: Leveraging friendly neighbors to accelerate GAN training},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:fFSKOagxvKUC},}
ICASSP 23
Multichannel time-encoding of finite-rate-of-innovation signals
A. J. Kamath, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
@inproceedings{kamath2023multichannel,author={Kamath, A. J. and Seelamantula, C. S.},title={Multichannel time-encoding of finite-rate-of-innovation signals},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:3htObqc8RwsC},}
arXiv 23
Gans settle scores!
S. Asokan, N. Shetty, A. Srikanth, and C. S. Seelamantula
@article{asokan2023gans,author={Asokan, S. and Shetty, N. and Srikanth, A. and Seelamantula, C. S.},title={Gans settle scores!},journal={arXiv preprint arXiv:2306.01654},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LhH-TYMQEocC},}
@article{kamath2023neuromorphic_sparse,author={Kamath, A. J. and Seelamantula, C. S.},title={Neuromorphic Sampling of Sparse Signals},journal={arXiv preprint arXiv:2310.15750},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nZcligLrVowC},}
Diagnostics 23
Deep-learning-based visualization and volumetric analysis of fluid regions in optical coherence tomography scans
H. R. Kasireddy, U. R. Kallam, S. K. S. Mantrala, H. Kongara, A. Shivhare, J. Saita, and others
@article{kasireddy2023deep,author={Kasireddy, H. R. and Kallam, U. R. and Mantrala, S. K. S. and Kongara, H. and Shivhare, A. and Saita, J. and others},title={Deep-learning-based visualization and volumetric analysis of fluid regions in optical coherence tomography scans},journal={Diagnostics},year={2023},volume={13},number={16},pages={2659},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:OP4eGU-M3BUC},}
CVPR 23
Quantized proximal averaging networks for compressed image recovery
N. K. K. Reddy, M. M. Bulusu, P. K. Pokala, and C. S. Seelamantula
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
@inproceedings{reddy2023quantized,author={Reddy, N. K. K. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.},title={Quantized proximal averaging networks for compressed image recovery},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yqoGN6RLRZoC},}
ICASSP 23
A Game of Snakes and Gans
S. Asokan , F. S. Mohammed, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
@inproceedings{asokan2023game,author={Asokan, S. and Mohammed, F. S. and Seelamantula, C. S.},title={A Game of Snakes and Gans},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:OR75R8vi5nAC},}
Sci. Data 23
Chaksu: A glaucoma specific fundus image database (vol 10, 70, 2023)
J. R. Kumar, C. S. Seelamantula, J. H. Gagan, Y. S. S. Kamath, N. I. R. Kuzhuppilly, and others
@article{kumar2023chaksu_erratum,author={Kumar, J. R. and Seelamantula, C. S. and Gagan, J. H. and Kamath, Y. S. S. and Kuzhuppilly, N. I. R. and others},title={Chaksu: A glaucoma specific fundus image database (vol 10, 70, 2023)},journal={Scientific Data},year={2023},volume={10},number={1},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Aul-kAQHnToC},}
ICCV 23
Quantized Generative Models for Solving Inverse Problems
N. K. K. Reddy, V. Killedar, and C. S. Seelamantula
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
@inproceedings{reddy2023quantized_generative,author={Reddy, N. K. K. and Killedar, V. and Seelamantula, C. S.},title={Quantized Generative Models for Solving Inverse Problems},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},year={2023},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:P7Ujq4OLJYoC},}
2022
ICASSP 22
Compressive phase retrieval based on sparse latent generative priors
V. Killedar, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
@inproceedings{killedar2022compressive,author={Killedar, V. and Seelamantula, C. S.},title={Compressive phase retrieval based on sparse latent generative priors},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9c2xU6iGI7YC},}
ICASSP 22
Differentiate-and-fire time-encoding of finite-rate-of-innovation signals
A. J. Kamath, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
@inproceedings{kamath2022differentiate,author={Kamath, A. J. and Seelamantula, C. S.},title={Differentiate-and-fire time-encoding of finite-rate-of-innovation signals},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:IUKN3-7HHlwC},}
IJWMIP 22
Quantization-aware phase retrieval
S. Mukherjee, and C. S. Seelamantula
International Journal of Wavelets, Multiresolution and Information Processing, 2022
@article{mukherjee2022quantization,author={Mukherjee, S. and Seelamantula, C. S.},title={Quantization-aware phase retrieval},journal={International Journal of Wavelets, Multiresolution and Information Processing},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:KUbvn5osdkgC},}
NeurIPS-W 22
LSGANs with gradient regularizers are smooth high-dimensional interpolators
S. Asokan, and C. S. Seelamantula
In First Workshop on Interpolation Regularizers and Beyond at NeurIPS, 2022
@inproceedings{asokan2022lsgans,author={Asokan, S. and Seelamantula, C. S.},title={LSGANs with gradient regularizers are smooth high-dimensional interpolators},booktitle={First Workshop on Interpolation Regularizers and Beyond at NeurIPS},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:mNrWkgRL2YcC},}
BSSA 22
Hilbert–Huang Transform and Energy Rate Functions for Earthquake Source Characterization—A Study from the Japan Trench
S. Mache, A. Chatterjee, K. Rajendran, and C. S. Seelamantula
Bulletin of the Seismological Society of America, 2022
@article{mache2022hilbert,author={Mache, S. and Chatterjee, A. and Rajendran, K. and Seelamantula, C. S.},title={Hilbert–Huang Transform and Energy Rate Functions for Earthquake Source Characterization—A Study from the Japan Trench},journal={Bulletin of the Seismological Society of America},year={2022},volume={112},number={6},pages={2847--2858},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HIFyuExEbWQC},}
ICIP 22
An ensemble of proximal networks for sparse coding
K. K. R. Nareddy, S. Mache, P. K. Pokala, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2022
@inproceedings{nareddy2022ensemble,author={Nareddy, K. K. R. and Mache, S. and Pokala, P. K. and Seelamantula, C. S.},title={An ensemble of proximal networks for sparse coding},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2022},pages={1251--1255},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4vMrXwiscB8C},}
DLDE-II 22
Bridging the gap between Coulomb GAN and gradient-regularized WGAN
S. Asokan, and C. S. Seelamantula
In The Symbiosis of Deep Learning and Differential Equations II, 2022
@inproceedings{asokan2022bridging,author={Asokan, S. and Seelamantula, C. S.},title={Bridging the gap between Coulomb GAN and gradient-regularized WGAN},booktitle={The Symbiosis of Deep Learning and Differential Equations II},year={2022},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:cWzG1nlazyYC},}
ISSS J. Micro Smart Syst. 22
RaPiD: a Raspberry Pi-based optical fundoscope
J. H. Gagan, J. R. H. Kumar, C. S. Seelamantula, and C. S. Adiga
@article{gagan2022rapid,author={Gagan, J. H. and Kumar, J. R. H. and Seelamantula, C. S. and Adiga, C. S.},title={RaPiD: a Raspberry Pi-based optical fundoscope},journal={ISSS Journal of Micro and Smart Systems},year={2022},volume={11},number={2},pages={397--405},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dBIO0h50nwkC},}
2021
IEEE TSP 21
Adaptive Savitzky-Golay filtering in non-Gaussian noise
@article{john2021adaptive,author={John, A. and Sadasivan, J. and Seelamantula, C. S.},title={Adaptive Savitzky-Golay filtering in non-Gaussian noise},journal={IEEE Transactions on Signal Processing},year={2021},volume={69},pages={5021--5036},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_5tno0g5mFcC},}
IEEE T-PAMI 21
Iteratively reweighted minimax-concave penalty minimization for accurate low-rank plus sparse matrix decomposition
P. K. Pokala, R. V. Hemadri, and C. S. Seelamantula
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
@article{pokala2021iteratively,author={Pokala, P. K. and Hemadri, R. V. and Seelamantula, C. S.},title={Iteratively reweighted minimax-concave penalty minimization for accurate low-rank plus sparse matrix decomposition},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2021},volume={44},number={12},pages={8992--9005},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WJVC3Jt7v1AC},}
arXiv 21
DuRIN: A deep-unfolded sparse seismic reflectivity inversion network
S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula
@article{mache2021durin,author={Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},title={DuRIN: A deep-unfolded sparse seismic reflectivity inversion network},journal={arXiv preprint arXiv:2104.04704},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HtEfBTGE9r8C},}
arXiv 21
Time encoding of finite-rate-of-innovation signals
@article{kamath2021time,author={Kamath, A. J. and Rudresh, S. and Seelamantula, C. S.},title={Time encoding of finite-rate-of-innovation signals},journal={arXiv preprint arXiv:2107.03344},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:DUooU5lO8OsC},}
arXiv 21
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model–Application to Seismic Reflectivity Inversion
S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula
@article{mache2021nuspan,author={Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},title={NuSPAN: A Proximal Average Network for Nonuniform Sparse Model--Application to Seismic Reflectivity Inversion},journal={arXiv preprint arXiv:2105.00003},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:a9-T7VOCCH8C},}
ICASSP 21
Sparsity driven latent space sampling for generative prior based compressive sensing
V. Killedar, P. K. Pokala, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
@inproceedings{killedar2021sparsity,author={Killedar, V. and Pokala, P. K. and Seelamantula, C. S.},title={Sparsity driven latent space sampling for generative prior based compressive sensing},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4hFrxpcac9AC},}
arXiv 21
Learning generative prior with latent space sparsity constraints
@article{killedar2021learning,author={Killedar, V. and Pokala, P. K. and Seelamantula, C. S.},title={Learning generative prior with latent space sparsity constraints},journal={arXiv preprint arXiv:2105.11956},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:umqufdRvDiIC},}
arXiv 21
Image denoising in FPGA using generic risk estimation
R. Varghese, C. Seelamantula, A. Gupta, and D. Dhar
@article{varghese2021image,author={Varghese, R. and Seelamantula, C. and Gupta, A. and Dhar, D.},title={Image denoising in FPGA using generic risk estimation},journal={arXiv preprint arXiv:2111.08297},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bKqednn6t2AC},}
arXiv 21
Quantized proximal averaging network for analysis sparse coding
K. K. R. Nareddy, M. M. Bulusu, P. K. Pokala, and C. S. Seelamantula
@article{nareddy2021quantized_proximal,author={Nareddy, K. K. R. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.},title={Quantized proximal averaging network for analysis sparse coding},journal={arXiv preprint arXiv:2105.06211},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XvxMoLDsR5gC},}
AGU 21
Explainable Deep Neural Networks for Seismic Reflectivity Inversion
S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula
@inproceedings{mache2021explainable,author={Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},title={Explainable Deep Neural Networks for Seismic Reflectivity Inversion},booktitle={AGU Fall Meeting Abstracts},year={2021},volume={2021},pages={S15F-0312},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:IRz6iEL74y4C},}
@article{jawali2021wavelet,author={Jawali, D. and Kumar, A. and Seelamantula, C. S.},title={Wavelet Design in a Learning Framework},journal={arXiv preprint arXiv:2107.11225},year={2021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:6ZxmRoH8BuwC},}
2020
ICASSP 20
A time-based sampling framework for finite-rate-of-innovation signals
S. Rudresh, A. J. Kamath, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
@inproceedings{rudresh2020time,author={Rudresh, S. and Kamath, A. J. and Seelamantula, C. S.},title={A time-based sampling framework for finite-rate-of-innovation signals},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:edDO8Oi4QzsC},}
IEEE SPL 20
Neuromorphic fringe projection profilometry
A. R. Mangalore, C. S. Seelamantula, and C. S. Thakur
@article{mangalore2020neuromorphic,author={Mangalore, A. R. and Seelamantula, C. S. and Thakur, C. S.},title={Neuromorphic fringe projection profilometry},journal={IEEE Signal Processing Letters},year={2020},volume={27},pages={1510--1514},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bz8QjSJIRt4C},}
NeurIPS 20
Teaching a gan what not to learn
S. Asokan, and C. Seelamantula
Advances in Neural Information Processing Systems, 2020
@article{asokan2020teaching,author={Asokan, S. and Seelamantula, C.},title={Teaching a gan what not to learn},journal={Advances in Neural Information Processing Systems},year={2020},volume={33},pages={3964--3975},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LO7wyVUgiFcC},}
Ultrasonics 20
Axial super-resolution in ultrasound imaging with application to non-destructive evaluation
S. K. Shastri, S. Rudresh, R. Anand, S. Nagesh, C. S. Seelamantula, and A. K. Thittai
@article{shastri2020axial,author={Shastri, S. K. and Rudresh, S. and Anand, R. and Nagesh, S. and Seelamantula, C. S. and Thittai, A. K.},title={Axial super-resolution in ultrasound imaging with application to non-destructive evaluation},journal={Ultrasonics},year={2020},volume={108},pages={106183},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:YohjEiUPhakC},}
ISBI 20
Automatic classification of artery/vein from single wavelength fundus images
P. K. Raj, A. Manjunath, J. R. H. Kumar, and C. S. Seelamantula
In IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
@inproceedings{raj2020automatic,author={Raj, P. K. and Manjunath, A. and Kumar, J. R. H. and Seelamantula, C. S.},title={Automatic classification of artery/vein from single wavelength fundus images},booktitle={IEEE 17th International Symposium on Biomedical Imaging (ISBI)},year={2020},pages={1262--1265},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:PVjk1bu6vJQC},}
ISBI 20
Fully-automated semantic segmentation of wireless capsule endoscopy abnormalities
S. Paul, H. D. Gundabattula, C. S. Seelamantula, V. R. Mujeeb, and A. S. Prasad
In IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
@inproceedings{paul2020fully,author={Paul, S. and Gundabattula, H. D. and Seelamantula, C. S. and Mujeeb, V. R. and Prasad, A. S.},title={Fully-automated semantic segmentation of wireless capsule endoscopy abnormalities},booktitle={IEEE 17th International Symposium on Biomedical Imaging (ISBI)},year={2020},pages={221--224},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5qfkUJPXOUwC},}
Speech Commun. 20
Speech enhancement using a risk estimation approach
J. Sadasivan, C. S. Seelamantula, and N. R. Muraka
@article{sadasivan2020speech,author={Sadasivan, J. and Seelamantula, C. S. and Muraka, N. R.},title={Speech enhancement using a risk estimation approach},journal={Speech Communication},year={2020},volume={116},pages={12--29},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ruyezt5ZtCIC},}
SPCOM 20
Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain
P. K. Pokala, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2020
@inproceedings{pokala2020accelerated,author={Pokala, P. K. and Seelamantula, C. S.},title={Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ri6SYOTghG4C},}
ICASSP 20
ConFirmNet: Convolutional FirmNet and application to image denoising and inpainting
P. K. Pokala, P. K. Uttam, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
@inproceedings{pokala2020confirmnet,author={Pokala, P. K. and Uttam, P. K. and Seelamantula, C. S.},title={ConFirmNet: Convolutional FirmNet and application to image denoising and inpainting},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:0N-VGjzr574C},}
arXiv 20
Robust segmentation of optic disc and cup from fundus images using deep neural networks
@article{manjunath2020robust,author={Manjunath, A. and Jois, S. and Seelamantula, C. S.},title={Robust segmentation of optic disc and cup from fundus images using deep neural networks},journal={arXiv preprint arXiv:2012.07128},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:anf4URPfarAC},}
ICIP 20
CoRNet: Composite-regularized neural network for convolutional sparse coding
D. Jawali, P. K. Pokala, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2020
@inproceedings{jawali2020cornet,author={Jawali, D. and Pokala, P. K. and Seelamantula, C. S.},title={CoRNet: Composite-regularized neural network for convolutional sparse coding},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2020},pages={818--822},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FAceZFleit8C},}
PLoS ONE 20
Automatic analysis of normative retinal oximetry images
J. R. H. Kumar, C. S. Seelamantula, A. Mohan, R. Shetty, T. J. M. Berendschot, and others
@article{kumar2020automatic,author={Kumar, J. R. H. and Seelamantula, C. S. and Mohan, A. and Shetty, R. and Berendschot, T. J. M. and others},title={Automatic analysis of normative retinal oximetry images},journal={Plos one},year={2020},volume={15},number={5},pages={e0231677},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hCrLmN-GePgC},}
ICASSP 20
Wirtinger flow algorithms for phase retrieval from binary measurements
V. Kishore, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
@inproceedings{kishore2020wirtinger,author={Kishore, V. and Seelamantula, C. S.},title={Wirtinger flow algorithms for phase retrieval from binary measurements},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ClCfbGk0d_YC},}
Speech Commun. 20
Musical noise suppression using a low-rank and sparse matrix decomposition approach
J. Sadasivan, J. K. Dhiman, and C. S. Seelamantula
@article{sadasivan2020musical,author={Sadasivan, J. and Dhiman, J. K. and Seelamantula, C. S.},title={Musical noise suppression using a low-rank and sparse matrix decomposition approach},journal={Speech Communication},year={2020},volume={125},pages={41--52},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4fGpz3EwCPoC},}
ICIP 20
Nyquist pulses for sub-Nyquist sampling—Application to underwater imaging
S. Srinath, S. Rudresh, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2020
@inproceedings{srinath2020nyquist,author={Srinath, S. and Rudresh, S. and Seelamantula, C. S.},title={Nyquist pulses for sub-Nyquist sampling—Application to underwater imaging},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2020},pages={2965--2969},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8d8msizDQcsC},}
ICIP 20
Projected improved fista and application to image deblurring
P. K. Pokala, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2020
@inproceedings{pokala2020projected,author={Pokala, P. K. and Seelamantula, C. S.},title={Projected improved fista and application to image deblurring},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2020},pages={1043--1047},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9pM33mqn1YgC},}
SPCOM 20
PhaseSense—Signal Reconstruction from Phase-Only Measurements via Quadratic Programming
V. Kishore, S. Mukherjee, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2020
@inproceedings{kishore2020phasesense,author={Kishore, V. and Mukherjee, S. and Seelamantula, C. S.},title={PhaseSense—Signal Reconstruction from Phase-Only Measurements via Quadratic Programming},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kh2fBNsKQNwC},}
bioRxiv 20
Digitization of electrocardiogram using bilateral filtering
H. Sankar S, A. Patni, S. Mulleti, and C. S. Seelamantula
@article{sankar2020digitization,author={Sankar S, H. and Patni, A. and Mulleti, S. and Seelamantula, C. S.},title={Digitization of electrocardiogram using bilateral filtering},journal={bioRxiv},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:rmuvC79q63oC},}
APSIPA Trans. Signal Inf. Process. 20
Signal denoising using the minimum-probability-of-error criterion
J. Sadasivan, S. Mukherjee, and C. S. Seelamantula
APSIPA Transactions on Signal and Information Processing, 2020
@article{sadasivan2020signal,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},title={Signal denoising using the minimum-probability-of-error criterion},journal={APSIPA Transactions on Signal and Information Processing},year={2020},volume={9},pages={e3},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Fu2w8maKXqMC},}
ISBI 20
Adaptive weighted minimax-concave penalty based dictionary learning for brain MR images
P. K. Pokala, S. Chemudupati, and C. S. Seelamantula
In IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
@inproceedings{pokala2020adaptive,author={Pokala, P. K. and Chemudupati, S. and Seelamantula, C. S.},title={Adaptive weighted minimax-concave penalty based dictionary learning for brain MR images},booktitle={IEEE 17th International Symposium on Biomedical Imaging (ISBI)},year={2020},pages={1929--1932},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:86PQX7AUzd4C},}
ICIP 20
Generalized fast iteratively reweighted soft-thresholding algorithm for sparse coding under tight frames in the complex-domain
P. K. Pokala, S. Chemudupati, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2020
@inproceedings{pokala2020generalized,author={Pokala, P. K. and Chemudupati, S. and Seelamantula, C. S.},title={Generalized fast iteratively reweighted soft-thresholding algorithm for sparse coding under tight frames in the complex-domain},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2020},pages={2875--2879},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_FM0Bhl9EiAC},}
ICASSP 20
Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network
P. Kulkarni, J. Sadasivan, A. Adiga, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
@inproceedings{kulkarni2020epoch,author={Kulkarni, P. and Sadasivan, J. and Adiga, A. and Seelamantula, C. S.},title={Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2020},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FPJr55Dyh1AC},}
ICIP 20
Non-Convex Optimization For Sparse Interferometric Phase Estimation
S. Chemudupati, P. K. Pokala, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2020
@inproceedings{chemudupati2020non,author={Chemudupati, S. and Pokala, P. K. and Seelamantula, C. S.},title={Non-Convex Optimization For Sparse Interferometric Phase Estimation},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2020},pages={2885--2889},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GtLg2Ama23sC},}
IEEE SPL 20
Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging
@article{mahurkar2020minkowski,author={Mahurkar, A. G. and Seelamantula, C. S.},title={Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging},journal={IEEE Signal Processing Letters},year={2020},volume={27},pages={1060--1064},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_axFR9aDTf0C},}
2019
Sci. Rep. 19
Rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening
J. R. H. Kumar, C. S. Seelamantula, Y. S. Kamath, and R. Jampala
@article{kumar2019rim,author={Kumar, J. R. H. and Seelamantula, C. S. and Kamath, Y. S. and Jampala, R.},title={Rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening},journal={Scientific reports},year={2019},volume={9},number={1},pages={7099},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WZBGuue-350C},}
ISBI 19
High accuracy patch-level classification of wireless capsule endoscopy images using a convolutional neural network
V. S. Sadasivan, and C. S. Seelamantula
In IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019
@inproceedings{sadasivan2019high,author={Sadasivan, V. S. and Seelamantula, C. S.},title={High accuracy patch-level classification of wireless capsule endoscopy images using a convolutional neural network},booktitle={IEEE 16th International Symposium on Biomedical Imaging (ISBI)},year={2019},pages={96--99},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:i2xiXl-TujoC},}
ICIP 19
Optic disc segmentation using cascaded multiresolution convolutional neural networks
D. Mohan, J. R. H. Kumar, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2019
@inproceedings{mohan2019optic,author={Mohan, D. and Kumar, J. R. H. and Seelamantula, C. S.},title={Optic disc segmentation using cascaded multiresolution convolutional neural networks},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2019},pages={834--838},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:SpbeaW3--B0C},}
arXiv 19
Unlimited dynamic range analog-to-digital conversion
A. Krishna, S. Rudresh, V. Shaw, H. R. Sabbella, C. S. Seelamantula, and others
@article{krishna2019unlimited,author={Krishna, A. and Rudresh, S. and Shaw, V. and Sabbella, H. R. and Seelamantula, C. S. and others},title={Unlimited dynamic range analog-to-digital conversion},journal={arXiv preprint arXiv:1911.09371},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XoXfffV-tXoC},}
ICASSP 19
FirmNet: A sparsity amplified deep network for solving linear inverse problems
P. K. Pokala, A. G. Mahurkar, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{pokala2019firmnet,author={Pokala, P. K. and Mahurkar, A. G. and Seelamantula, C. S.},title={FirmNet: A sparsity amplified deep network for solving linear inverse problems},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LI9QrySNdTsC},}
ICASSP 19
A learning approach for wavelet design
D. Jawali, A. Kumar, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{jawali2019learning,author={Jawali, D. and Kumar, A. and Seelamantula, C. S.},title={A learning approach for wavelet design},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kz9GbA2Ns4gC},}
ICIP 19
A structure tensor based Voronoi decomposition technique for optic cup segmentation
P. K. Raj, J. R. H. Kumar, S. Jois, S. Harsha, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2019
@inproceedings{raj2019structure,author={Raj, P. K. and Kumar, J. R. H. and Jois, S. and Harsha, S. and Seelamantula, C. S.},title={A structure tensor based Voronoi decomposition technique for optic cup segmentation},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2019},pages={829--833},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:PoWvk5oyLR8C},}
ICASSP 19
Automatic segmentation of optic disc using affine snakes in gradient vector field
S. Dey, K. Tahiliani, J. R. H. Kumar, A. K. Pediredla, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{dey2019automatic,author={Dey, S. and Tahiliani, K. and Kumar, J. R. H. and Pediredla, A. K. and Seelamantula, C. S.},title={Automatic segmentation of optic disc using affine snakes in gradient vector field},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:lmc2jWPfTJgC},}
ICASSP 19
Automatic segmentation of common carotid artery in longitudinal mode ultrasound images using active oblongs
J. R. H. Kumar, K. Teotia, P. K. Raj, J. Andrade, K. V. Rajagopal, and others
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{kumar2019automatic,author={Kumar, J. R. H. and Teotia, K. and Raj, P. K. and Andrade, J. and Rajagopal, K. V. and others},title={Automatic segmentation of common carotid artery in longitudinal mode ultrasound images using active oblongs},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:k8Z6L05lTy4C},}
EMBC 19
A portable ultrasound imaging system utilizing deep generative learning-based compressive sensing on pre-beamformed RF signals
S. K. Gupta, K. Kumar, C. S. Seelamantula, and C. S. Thakur
In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
@inproceedings{gupta2019portable,author={Gupta, S. K. and Kumar, K. and Seelamantula, C. S. and Thakur, C. S.},title={A portable ultrasound imaging system utilizing deep generative learning-based compressive sensing on pre-beamformed RF signals},booktitle={41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HbR8gkJAVGIC},}
ICASSP 19
FRI Modelling of Fourier Descriptors
A. J. Kamath, S. Rudresh, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{kamath2019fri,author={Kamath, A. J. and Rudresh, S. and Seelamantula, C. S.},title={FRI Modelling of Fourier Descriptors},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:M7yex6snE4oC},}
ICASSP 19
SAMIR: Sparsity amplified iteratively-reweighted beamforming for high-resolution ultrasound imaging
A. G. Mahurkar, P. K. Pokala, C. S. Thakur, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{mahurkar2019samir,author={Mahurkar, A. G. and Pokala, P. K. and Thakur, C. S. and Seelamantula, C. S.},title={SAMIR: Sparsity amplified iteratively-reweighted beamforming for high-resolution ultrasound imaging},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:MLfJN-KU85MC},}
ICASSP 19
A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals
J. K. Dhiman, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
@inproceedings{dhiman2019spectro,author={Dhiman, J. K. and Seelamantula, C. S.},title={A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VaXvl8Fpj5cC},}
ISBI 19
Iteratively-reweighted beamforming for high-resolution ultrasound imaging
A. G. Mahurkar, P. Pokala, and C. S. Seelamantula
In IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019
@inproceedings{mahurkar2019iteratively,author={Mahurkar, A. G. and Pokala, P. and Seelamantula, C. S.},title={Iteratively-reweighted beamforming for high-resolution ultrasound imaging},booktitle={IEEE 16th International Symposium on Biomedical Imaging (ISBI)},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:S16KYo8Pm5AC},}
IUS 19
Axial Super-Resolution in Ultrasound Imaging
S. K. Shastri, S. Rudresh, R. Anand, S. Nagesh, D. Mazumder, A. K. Thittai, and others
In IEEE International Ultrasonics Symposium (IUS), 2019
@inproceedings{shastri2019axial,author={Shastri, S. K. and Rudresh, S. and Anand, R. and Nagesh, S. and Mazumder, D. and Thittai, A. K. and others},title={Axial Super-Resolution in Ultrasound Imaging},booktitle={IEEE International Ultrasonics Symposium (IUS)},year={2019},pages={639--642},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ug5p-4gJ2f0C},}
arXiv 19
Generalized Design of Sampling Kernels for 2-D FRI Signals
@article{shastri2019generalized,author={Shastri, S. K. and Rudresh, S. and Seelamantula, C. S.},title={Generalized Design of Sampling Kernels for 2-D FRI Signals},journal={arXiv preprint arXiv:1902.02732},year={2019},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:gsN89kCJA0AC},}
INTERSPEECH 19
On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis
@inproceedings{dhiman2019suitability,author={Dhiman, J. K. and Adiga, N. and Seelamantula, C. S.},title={On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis},booktitle={INTERSPEECH},year={2019},pages={944--948},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Dip1O2bNi0gC},}
2018
ICASSP 18
Wavelet-based reconstruction for unlimited sampling
S. Rudresh, A. Adiga, B. A. Shenoy, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
@inproceedings{rudresh2018wavelet,author={Rudresh, S. and Adiga, A. and Shenoy, B. A. and Seelamantula, C. S.},title={Wavelet-based reconstruction for unlimited sampling},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ML0RJ9NH7IQC},}
IEEE/ACM TASLP 18
TDOA-based multiple acoustic source localization without association ambiguity
H. Sundar, T. V. Sreenivas, and C. S. Seelamantula
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018
@article{sundar2018tdoa,author={Sundar, H. and Sreenivas, T. V. and Seelamantula, C. S.},title={TDOA-based multiple acoustic source localization without association ambiguity},journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},year={2018},volume={26},number={11},pages={1976--1990},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BwyfMAYsbu0C},}
ICIP 18
High-performance optic disc segmentation using convolutional neural networks
D. Mohan, J. R. H. Kumar, and C. S. Seelamantula
In 25th IEEE international conference on image processing (ICIP), 2018
@inproceedings{mohan2018high,author={Mohan, D. and Kumar, J. R. H. and Seelamantula, C. S.},title={High-performance optic disc segmentation using convolutional neural networks},booktitle={25th IEEE international conference on image processing (ICIP)},year={2018},pages={4038--4042},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:vbGhcppDl1QC},}
arXiv 18
Epoch-synchronous overlap-add (ESOLA) for time-and pitch-scale modification of speech signals
S. Rudresh, A. Vasisht, K. Vijayan, and C. S. Seelamantula
@article{rudresh2018epoch,author={Rudresh, S. and Vasisht, A. and Vijayan, K. and Seelamantula, C. S.},title={Epoch-synchronous overlap-add (ESOLA) for time-and pitch-scale modification of speech signals},journal={arXiv preprint arXiv:1801.06492},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:uWiczbcajpAC},}
J. Neurophysiol. 18
Duration analysis using matching pursuit algorithm reveals longer bouts of gamma rhythm
@article{chandran2018duration,author={Chandran KS, S. and Seelamantula, C. S. and Ray, S.},title={Duration analysis using matching pursuit algorithm reveals longer bouts of gamma rhythm},journal={Journal of neurophysiology},year={2018},volume={119},number={3},pages={808--821},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Z5m8FVwuT1cC},}
@article{rudresh2018asymmetric,author={Rudresh, S. and Nagesh, S. and Seelamantula, C. S.},title={Asymmetric pulse modeling for FRI sampling},journal={IEEE Transactions on Signal Processing},year={2018},volume={66},number={8},pages={2027--2040},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BUYA1_V_uYcC},}
@article{mukherjee2018phase,author={Mukherjee, S. and Seelamantula, C. S.},title={Phase retrieval from binary measurements},journal={IEEE Signal Processing Letters},year={2018},volume={25},number={3},pages={348--352},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:z_wVstp3MssC},}
IEEE TSP 18
On two-dimensional Hilbert integral equations, generalized minimum-phase signals, and phase retrieval
@article{shenoy2018two,author={Shenoy, B. A. and Mulleti, S. and Seelamantula, C. S.},title={On two-dimensional Hilbert integral equations, generalized minimum-phase signals, and phase retrieval},journal={IEEE Transactions on Signal Processing},year={2018},volume={66},number={14},pages={3906--3917},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4MWp96NkSFoC},}
GlobalSIP 18
An unconstrained ellipse fitting technique and application to optic cup segmentation
H. Sridhar, J. R. H. Kumar, S. Jois, and C. S. Seelamantula
In IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018
@inproceedings{sridhar2018unconstrained,author={Sridhar, H. and Kumar, J. R. H. and Jois, S. and Seelamantula, C. S.},title={An unconstrained ellipse fitting technique and application to optic cup segmentation},booktitle={IEEE Global Conference on Signal and Information Processing (GlobalSIP)},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:TIZ-Mc8IlK0C},}
ICIP 18
Automatic segmentation of lumen intima layer in transverse mode ultrasound images
J. R. H. Kumar, C. S. Seelamantula, J. Andrade, and K. V. Rajagopal
In 25th IEEE International Conference on Image Processing (ICIP), 2018
@inproceedings{kumar2018automatic_lumen,author={Kumar, J. R. H. and Seelamantula, C. S. and Andrade, J. and Rajagopal, K. V.},title={Automatic segmentation of lumen intima layer in transverse mode ultrasound images},booktitle={25th IEEE International Conference on Image Processing (ICIP)},year={2018},pages={3493--3497},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:p__nRnzSRKYC},}
ICASSP 18
Phasesplit: A variable splitting framework for phase retrieval
S. Mukherjee, S. Shit, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
@inproceedings{mukherjee2018phasesplit,author={Mukherjee, S. and Shit, S. and Seelamantula, C. S.},title={Phasesplit: A variable splitting framework for phase retrieval},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:g3aElNc5_aQC},}
INTERSPEECH 18
Speech Enhancement Using the Minimum-probability-of-error Criterion
J. Sadasivan, S. Mukherjee, and C. S. Seelamantula
@inproceedings{sadasivan2018speech,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},title={Speech Enhancement Using the Minimum-probability-of-error Criterion},booktitle={INTERSPEECH},year={2018},pages={1141--1145},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:EYYDruWGBe4C},}
APSIPA ASC 18
Phase Retrieval–A Deconvolution Perspective
A. Sainathan, and C. S. Seelamantula
In Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018
@inproceedings{sainathan2018phase,author={Sainathan, A. and Seelamantula, C. S.},title={Phase Retrieval–A Deconvolution Perspective},booktitle={Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tuHXwOkdijsC},}
ICIP 18
Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals
A. De, and C. S. Seelamantula
In 25th IEEE International Conference on Image Processing (ICIP), 2018
@inproceedings{de2018design,author={De, A. and Seelamantula, C. S.},title={Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals},booktitle={25th IEEE International Conference on Image Processing (ICIP)},year={2018},pages={1443--1447},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hMsQuOkrut0C},}
SPCOM 18
Binary compressive sensing and super-resolution with unknown threshold
S. Mukherjee, A. K. Sekuboyina, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2018
@inproceedings{mukherjee2018binary,author={Mukherjee, S. and Sekuboyina, A. K. and Seelamantula, C. S.},title={Binary compressive sensing and super-resolution with unknown threshold},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:-FonjvnnhkoC},}
SPCOM 18
A singular value relaxation technique for learning sparsifying transforms
S. Mukherjee, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2018
@inproceedings{mukherjee2018singular,author={Mukherjee, S. and Seelamantula, C. S.},title={A singular value relaxation technique for learning sparsifying transforms},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2018},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:e_rmSamDkqQC},}
INTERSPEECH 18
Multicomponent 2-D AM-FM Modeling of Speech Spectrograms
@inproceedings{dhiman2018multicomponent,author={Dhiman, J. K. and Sharma, N. and Seelamantula, C. S.},title={Multicomponent 2-D AM-FM Modeling of Speech Spectrograms},booktitle={INTERSPEECH},year={2018},pages={736--740},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ILKRHgRFtOwC},}
INTERSPEECH 18
An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms
@inproceedings{sainathan2018optimization,author={Sainathan, A. and Rudresh, S. and Seelamantula, C. S.},title={An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms},booktitle={INTERSPEECH},year={2018},pages={741--745},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:L7CI7m0gUJcC},}
2017
ISBI 17
A convolutional neural network approach for abnormality detection in wireless capsule endoscopy
A. K. Sekuboyina, S. T. Devarakonda, and C. S. Seelamantula
In IEEE 14th international symposium on biomedical imaging (ISBI), 2017
@inproceedings{sekuboyina2017convolutional,author={Sekuboyina, A. K. and Devarakonda, S. T. and Seelamantula, C. S.},title={A convolutional neural network approach for abnormality detection in wireless capsule endoscopy},booktitle={IEEE 14th international symposium on biomedical imaging (ISBI)},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_Re3VWB3Y0AC},}
IEEE TSP 17
Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling
@article{mulleti2017paley,author={Mulleti, S. and Seelamantula, C. S.},title={Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling},journal={IEEE Transactions on Signal Processing},year={2017},volume={65},number={22},pages={5860--5872},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:t7zJ5fGR-2UC},}
@article{rudresh2017finite,author={Rudresh, S. and Seelamantula, C. S.},title={Finite-rate-of-innovation-sampling-based super-resolution radar imaging},journal={IEEE Transactions on Signal Processing},year={2017},volume={65},number={19},pages={5021--5033},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VLnqNzywnoUC},}
IEEE SPL 17
Training-free, single-image super-resolution using a dynamic convolutional network
@article{bhowmik2017training,author={Bhowmik, A. and Shit, S. and Seelamantula, C. S.},title={Training-free, single-image super-resolution using a dynamic convolutional network},journal={IEEE signal processing letters},year={2017},volume={25},number={1},pages={85--89},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:0KyAp5RtaNEC},}
arXiv 17
Deep sparse coding using optimized linear expansion of thresholds
D. Mahapatra, S. Mukherjee, and C. S. Seelamantula
@article{mahapatra2017deep,author={Mahapatra, D. and Mukherjee, S. and Seelamantula, C. S.},title={Deep sparse coding using optimized linear expansion of thresholds},journal={arXiv preprint arXiv:1705.07290},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZfRJV9d4-WMC},}
Sci. Rep. 17
Super-resolved nuclear magnetic resonance spectroscopy
S. Mulleti, A. Singh, V. P. Brahmkhatri, K. Chandra, T. Raza, S. P. Mukherjee, and others
@article{mulleti2017super,author={Mulleti, S. and Singh, A. and Brahmkhatri, V. P. and Chandra, K. and Raza, T. and Mukherjee, S. P. and others},title={Super-resolved nuclear magnetic resonance spectroscopy},journal={Scientific reports},year={2017},volume={7},number={1},pages={9651},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9Nmd_mFXekcC},}
SLAS Technol. 17
An efficient microscale technique for determining the erythrocyte sedimentation rate
A. Chaturvedi, S. K. Nagaraj, S. S. Gorthi, and C. S. Seelamantula
SLAS TECHNOLOGY: Translating Life Sciences Innovation, 2017
@article{chaturvedi2017efficient,author={Chaturvedi, A. and Nagaraj, S. K. and Gorthi, S. S. and Seelamantula, C. S.},title={An efficient microscale technique for determining the erythrocyte sedimentation rate},journal={SLAS TECHNOLOGY: Translating Life Sciences Innovation},year={2017},volume={22},number={5},pages={565--572},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:7T2F9Uy0os0C},}
INTERSPEECH 17
A Spectro-Temporal Demodulation Technique for Pitch Estimation
@inproceedings{dhiman2017spectro,author={Dhiman, J. K. and Adiga, N. and Seelamantula, C. S.},title={A Spectro-Temporal Demodulation Technique for Pitch Estimation},booktitle={INTERSPEECH},year={2017},pages={2306--2310},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yB1At4FlUx8C},}
TENCON 17
Automatic optic cup segmentation using Kåsa’s circle fitting technique
J. R. H. Kumar, S. Harsha, Y. Kamath, R. Jampala, and C. S. Seelamantula
@inproceedings{kumar2017automatic,author={Kumar, J. R. H. and Harsha, S. and Kamath, Y. and Jampala, R. and Seelamantula, C. S.},title={Automatic optic cup segmentation using K{\aa}sa's circle fitting technique},booktitle={IEEE Region 10 Conference (TENCON)},year={2017},pages={25--30},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:epqYDVWIO7EC},}
NeurIPS-W 17
DNNs for sparse coding and dictionary learning
S. Mukherjee, D. Mahapatra, and C. S. Seelamantula
@inproceedings{mukherjee2017dnns,author={Mukherjee, S. and Mahapatra, D. and Seelamantula, C. S.},title={DNNs for sparse coding and dictionary learning},booktitle={NIPS Bayesian Deep Learning Workshop},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:uc_IGeMz5qoC},}
INTERSPEECH 17
Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals
@inproceedings{vijayan2017time,author={Vijayan, K. and Dhiman, J. K. and Seelamantula, C. S.},title={Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals},booktitle={Interspeech},year={2017},pages={329--333},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nrtMV_XWKgEC},}
ICIP 17
Automatic delineation of macular regions based on a locally defined contrast function
J. R. H. Kumar, R. Adhikari, Y. Kamath, R. Jampala, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2017
@inproceedings{kumar2017automatic_macular,author={Kumar, J. R. H. and Adhikari, R. and Kamath, Y. and Jampala, R. and Seelamantula, C. S.},title={Automatic delineation of macular regions based on a locally defined contrast function},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2017},pages={1362--1366},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:AvfA0Oy_GE0C},}
APPEEC 17
Adaptive frequency estimation using iterative DESA with RDFT-based filter
S. Bansal, A. Ghosh, C. S. Seelamantula, G. Gurrala, and P. K. Ghosh
In IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2017
@inproceedings{bansal2017adaptive,author={Bansal, S. and Ghosh, A. and Seelamantula, C. S. and Gurrala, G. and Ghosh, P. K.},title={Adaptive frequency estimation using iterative DESA with RDFT-based filter},booktitle={IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)},year={2017},pages={1--6},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:URolC5Kub84C},}
NeurIPS-W 17
Bayesian deep deconvolutional neural networks
A. Bhowmik, A. Adiga, C. Seelamantula, F. Hauser, J. Jacak, and B. Heise
In Proc. 2nd Neural Inf. Process. Syst. Workshop Bayesian Deep Learn, 2017
@inproceedings{bhowmik2017bayesian,author={Bhowmik, A. and Adiga, A. and Seelamantula, C. and Hauser, F. and Jacak, J. and Heise, B.},title={Bayesian deep deconvolutional neural networks},booktitle={Proc. 2nd Neural Inf. Process. Syst. Workshop Bayesian Deep Learn},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ipzZ9siozwsC},}
arXiv 17
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging
S. Mukherjee, H. Chen, A. Veeraraghavan, and C. S. Seelamantula
@article{mukherjee2017online,author={Mukherjee, S. and Chen, H. and Veeraraghavan, A. and Seelamantula, C. S.},title={Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging},journal={arXiv preprint arXiv:1706.09585},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:j8SEvjWlNXcC},}
arXiv 17
PROSE: Perceptual Risk Optimization for Speech Enhancement
J. Sadasivan, C. S. Seelamantula, and N. R. Muraka
@article{sadasivan2017prose,author={Sadasivan, J. and Seelamantula, C. S. and Muraka, N. R.},title={PROSE: Perceptual Risk Optimization for Speech Enhancement},journal={arXiv preprint arXiv:1710.03975},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tKAzc9rXhukC},}
arXiv 17
A Non-Convex Optimization Technique for Sparse Blind Deconvolution–Initialization Aspects and Error Reduction Properties
@article{adiga2017non,author={Adiga, A. and Seelamantula, C. S.},title={A Non-Convex Optimization Technique for Sparse Blind Deconvolution--Initialization Aspects and Error Reduction Properties},journal={arXiv preprint arXiv:1708.07370},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:b1wdh0AR-JQC},}
arXiv 17
AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES
@article{adiga2017alternating,author={Adiga, A. and Seelamantula, C. S.},title={AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES},journal={arXiv preprint arXiv:1708.07370},year={2017},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XD-gHx7UXLsC},}
2016
Signal Process. 16
\(\ell_1\)-K-SVD: A robust dictionary learning algorithm with simultaneous update
@article{mukherjee2016l1,author={Mukherjee, S. and Basu, R. and Seelamantula, C. S.},title={{\(\ell_1\)}-K-SVD: A robust dictionary learning algorithm with simultaneous update},journal={Signal Processing},year={2016},volume={123},pages={42--52},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:D_sINldO8mEC},}
Innov. Comput. Sci. J. 16
Digitization of Electrocardiogram Using Bilateral Filtering
H. Sadasivan, A. Patni, S. Mulleti, and C. S. Seelamantula
@article{sadasivan2016digitization,author={Sadasivan, H. and Patni, A. and Mulleti, S. and Seelamantula, C. S.},title={Digitization of Electrocardiogram Using Bilateral Filtering},journal={Innovative Computer Sciences Journal},year={2016},volume={2},number={1},pages={1--10},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:u-coK7KVo8oC},}
ICASSP 16
Joint dictionary training for bandwidth extension of speech signals
J. Sadasivan, S. Mukherjee, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
@inproceedings{sadasivan2016joint,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},title={Joint dictionary training for bandwidth extension of speech signals},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2016},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bnK-pcrLprsC},}
ICIP 16
Automatic segmentation of common carotid artery in transverse mode ultrasound images
J. R. H. Kumar, C. S. Seelamantula, N. S. Narayan, and P. Marziliano
In IEEE International Conference on Image Processing (ICIP), 2016
@inproceedings{kumar2016automatic,author={Kumar, J. R. H. and Seelamantula, C. S. and Narayan, N. S. and Marziliano, P.},title={Automatic segmentation of common carotid artery in transverse mode ultrasound images},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2016},pages={389--393},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_Ybze24A_UAC},}
ICIP 16
Active-disc-based Kalman filter technique for tracking of blood cells in microfluidic channels
B. C. Arvind, S. K. Nagaraj, C. S. Seelamantula, and S. S. Gorthi
In IEEE International Conference on Image Processing (ICIP), 2016
@inproceedings{arvind2016active,author={Arvind, B. C. and Nagaraj, S. K. and Seelamantula, C. S. and Gorthi, S. S.},title={Active-disc-based Kalman filter technique for tracking of blood cells in microfluidic channels},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2016},pages={3394--3398},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5awf1xo2G04C},}
IEEE TSP 16
FRI sampling on structured nonuniform grids—Application to super-resolved optical imaging
@article{mulleti2016fri,author={Mulleti, S. and Shenoy, B. A. and Seelamantula, C. S.},title={FRI sampling on structured nonuniform grids—Application to super-resolved optical imaging},journal={IEEE Transactions on Signal Processing},year={2016},volume={64},number={15},pages={3841--3853},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5ugPr518TE4C},}
Signal Process. 16
A risk minimization framework for channel estimation in OFDM systems
@article{upadhya2016risk,author={Upadhya, K. and Seelamantula, C. S. and Hari, K. V. S.},title={A risk minimization framework for channel estimation in OFDM systems},journal={Signal Processing},year={2016},volume={128},pages={78--87},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:cFHS6HbyZ2cC},}
NCC 16
Convergence rate analysis of smoothed LASSO
S. Mukherjee, and C. S. Seelamantula
In Twenty second national conference on communication (NCC), 2016
@inproceedings{mukherjee2016convergence,author={Mukherjee, S. and Seelamantula, C. S.},title={Convergence rate analysis of smoothed LASSO},booktitle={Twenty second national conference on communication (NCC)},year={2016},pages={1--6},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WqliGbK-hY8C},}
@inproceedings{seelamantula2016phase,author={Seelamantula, C. S.},title={Phase-Encoded Speech Spectrograms},booktitle={INTERSPEECH},year={2016},pages={1775--1779},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:N5tVd3kTz84C},}
Sādhanā 16
Optimum short-time polynomial regression for signal analysis
A. S. Murthy, C. S. Seelamantula, and T. V. Sreenivas
@article{murthy2016optimum,author={Murthy, A. S. and Seelamantula, C. S. and Sreenivas, T. V.},title={Optimum short-time polynomial regression for signal analysis},journal={Sādhanā},year={2016},volume={41},pages={1245--1260},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:PR6Y55bgFSsC},}
ICASSP 16
A divide-and-conquer dictionary learning algorithm and its performance analysis
S. Mukherjee, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
@inproceedings{mukherjee2016divide,author={Mukherjee, S. and Seelamantula, C. S.},title={A divide-and-conquer dictionary learning algorithm and its performance analysis},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2016},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XiVPGOgt02cC},}
NCC 16
An efficient formulation and parameter selection for multiple image super-resolution
A. K. Sekuboyina, and C. S. Seelamantula
In Twenty Second National Conference on Communication (NCC), 2016
@inproceedings{sekuboyina2016efficient,author={Sekuboyina, A. K. and Seelamantula, C. S.},title={An efficient formulation and parameter selection for multiple image super-resolution},booktitle={Twenty Second National Conference on Communication (NCC)},year={2016},pages={1--6},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VL0QpB8kHFEC},}
ICVGIP 16
A distribution-independent risk estimator for image denoising
B. K. Subramanian, A. Gupta, and C. S. Seelamantula
In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016
@inproceedings{subramanian2016distribution,author={Subramanian, B. K. and Gupta, A. and Seelamantula, C. S.},title={A distribution-independent risk estimator for image denoising},booktitle={Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},year={2016},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dQ2og3OwTAUC},}
ICASSP 16
An unbiased risk estimator for Gaussian mixture noise distributions—Application to speech denoising
J. Sadasivan, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
@inproceedings{sadasivan2016unbiased,author={Sadasivan, J. and Seelamantula, C. S.},title={An unbiased risk estimator for Gaussian mixture noise distributions—Application to speech denoising},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2016},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:olpn-zPbct0C},}
NCC 16
Sampling and reconstruction of time-limited signals using sum-of-sincs kernel
S. Mulleti, and C. S. Seelamantula
In Twenty Second National Conference on Communication (NCC), 2016
@inproceedings{mulleti2016sampling,author={Mulleti, S. and Seelamantula, C. S.},title={Sampling and reconstruction of time-limited signals using sum-of-sincs kernel},booktitle={Twenty Second National Conference on Communication (NCC)},year={2016},pages={1--6},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ye4kPcJQO24C},}
NCC 16
Efficient resampling of speech/audio signals in shift-invariant spaces
G. Sreedevi, P. K. Narayanamurthy, and C. S. Seelamantula
In Twenty Second National Conference on Communication (NCC), 2016
@inproceedings{sreedevi2016efficient,author={Sreedevi, G. and Narayanamurthy, P. K. and Seelamantula, C. S.},title={Efficient resampling of speech/audio signals in shift-invariant spaces},booktitle={Twenty Second National Conference on Communication (NCC)},year={2016},pages={1--5},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LjlpjdlvIbIC},}
INTERSPEECH 16
A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions
@inproceedings{sadasivan2016novel,author={Sadasivan, J. and Seelamantula, C. S.},title={A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions},booktitle={INTERSPEECH},year={2016},pages={3718--3722},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZuybSZzF8UAC},}
ICVGIP 16
How much can a Gaussian smoother denoise?
S. V. Gubbi, A. Gupta, and C. S. Seelamantula
In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016
@inproceedings{gubbi2016how,author={Gubbi, S. V. and Gupta, A. and Seelamantula, C. S.},title={How much can a Gaussian smoother denoise?},booktitle={Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},year={2016},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hkOj_22Ku90C},}
arXiv 16
Super-Resolution From Binary Measurements With Unknown Threshold
S. Mukherjee, A. K. Sekuboyina, and C. S. Seelamantula
@article{mukherjee2016super,author={Mukherjee, S. and Sekuboyina, A. K. and Seelamantula, C. S.},title={Super-Resolution From Binary Measurements With Unknown Threshold},journal={arXiv preprint arXiv:1606.03472},year={2016},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:t6usbXjVLHcC},}
INTERSPEECH 16
Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering
H. Sundar, M. G. Deepak, T. V. Sreenivas, and C. S. Seelamantula
@inproceedings{sundar2016reverberation,author={Sundar, H. and Deepak, M. G. and Sreenivas, T. V. and Seelamantula, C. S.},title={Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering},booktitle={Proc. Interspeech},year={2016},volume={2016},pages={3364--3368},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:1yQoGdGgb4wC},}
2015
IEEE TIP 15
Ellipse fitting using the finite rate of innovation sampling principle
@article{mulleti2015ellipse,author={Mulleti, S. and Seelamantula, C. S.},title={Ellipse fitting using the finite rate of innovation sampling principle},journal={IEEE Transactions on Image Processing},year={2015},volume={25},number={3},pages={1451--1464},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:eflP2zaiRacC},}
GlobalSIP 15
Active discs for automated optic disc segmentation
J. R. H. Kumar, A. K. Pediredla, and C. S. Seelamantula
In IEEE global conference on signal and information processing (GlobalSIP), 2015
@inproceedings{kumar2015active,author={Kumar, J. R. H. and Pediredla, A. K. and Seelamantula, C. S.},title={Active discs for automated optic disc segmentation},booktitle={IEEE global conference on signal and information processing (GlobalSIP)},year={2015},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:V3AGJWp-ZtQC},}
IEEE TSP 15
Exact phase retrieval in principal shift-invariant spaces
@article{shenoy2015exact,author={Shenoy, B. A. and Mulleti, S. and Seelamantula, C. S.},title={Exact phase retrieval in principal shift-invariant spaces},journal={IEEE Transactions on Signal Processing},year={2015},volume={64},number={2},pages={406--416},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VOx2b1Wkg3QC},}
IEEE TSP 15
Spectral zero-crossings: Localization properties and applications
@article{shenoy2015spectral,author={Shenoy, R. R. and Seelamantula, C. S.},title={Spectral zero-crossings: Localization properties and applications},journal={IEEE transactions on signal processing},year={2015},volume={63},number={12},pages={3177--3190},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tOudhMTPpwUC},}
IEEE/ACM TASLP 15
Demodulation of narrowband speech spectrograms using the Riesz transform
H. Aragonda, and C. S. Seelamantula
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015
@article{aragonda2015demodulation,author={Aragonda, H. and Seelamantula, C. S.},title={Demodulation of narrowband speech spectrograms using the Riesz transform},journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},year={2015},volume={23},number={11},pages={2017--2028},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:B3FOqHPlNUQC},}
ICIP 15
Image denoising in multiplicative noise
C. S. Seelamantula, and T. Blu
In IEEE International Conference on Image Processing (ICIP), 2015
@inproceedings{seelamantula2015image,author={Seelamantula, C. S. and Blu, T.},title={Image denoising in multiplicative noise},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2015},pages={1528--1532},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:sSrBHYA8nusC},}
ICASSP 15
FRI sampling and reconstruction of asymmetric pulses
S. Nagesh, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
@inproceedings{nagesh2015fri,author={Nagesh, S. and Seelamantula, C. S.},title={FRI sampling and reconstruction of asymmetric pulses},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2015},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:geHnlv5EZngC},}
J. Electron. Imaging 15
Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise
@article{kishan2015patch,author={Kishan, H. and Seelamantula, C. S.},title={Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise},journal={Journal of Electronic imaging},year={2015},volume={24},number={5},pages={053021},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:fQNAKQ3IYiAC},}
IEEE SPL 15
A zero-crossing rate property of power complementary analysis filterbank outputs
@article{shenoy2015zero,author={Shenoy, R. R. and Seelamantula, C. S.},title={A zero-crossing rate property of power complementary analysis filterbank outputs},journal={IEEE signal processing letters},year={2015},volume={22},number={12},pages={2354--2358},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LPZeul_q3PIC},}
ICASSP 15
Directional bilateral filters
M. Venkatesh, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
@inproceedings{venkatesh2015directional,author={Venkatesh, M. and Seelamantula, C. S.},title={Directional bilateral filters},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2015},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yD5IFk8b50cC},}
AIP Adv. 15
Directional bilateral filters for smoothing fluorescence microscopy images
@article{venkatesh2015directional_smoothing,author={Venkatesh, M. and Mohan, K. and Seelamantula, C. S.},title={Directional bilateral filters for smoothing fluorescence microscopy images},journal={AIP Advances},year={2015},volume={5},number={8},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5Ul4iDaHHb8C},}
ICASSP 15
Periodic non-uniform sampling for FRI signals
S. Mulleti, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
@inproceedings{mulleti2015periodic,author={Mulleti, S. and Seelamantula, C. S.},title={Periodic non-uniform sampling for FRI signals},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2015},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8AbLer7MMksC},}
15
Opera: Operator-based annihilation for finite-rate-of-innovation signal sampling
C. S. Seelamantula
In Sampling Theory, a Renaissance: Compressive Sensing and Other Developments, 2015
@incollection{seelamantula2015opera,author={Seelamantula, C. S.},title={Opera: Operator-based annihilation for finite-rate-of-innovation signal sampling},booktitle={Sampling Theory, a Renaissance: Compressive Sensing and Other Developments},year={2015},publisher={Springer},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:eJXPG6dFmWUC},}
SampTA 15
An FRI model for asymmetric pulse trains and characterization of ventricular hypertrophy condition
S. Nagesh, and C. S. Seelamantula
In Proc. Int. Conf. Sampling Theory Appl., Special Session Sampling Signals, 2015
@inproceedings{nagesh2015fri_model,author={Nagesh, S. and Seelamantula, C. S.},title={An FRI model for asymmetric pulse trains and characterization of ventricular hypertrophy condition},booktitle={Proc. Int. Conf. Sampling Theory Appl., Special Session Sampling Signals},year={2015},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:08ZZubdj9fEC},}
TENCON 15
Dictionary-learning-based post-filter for HMM-based speech synthesis
@inproceedings{narayanamurthy2015dictionary,author={Narayanamurthy, P. K. and Seelamantula, C. S.},title={Dictionary-learning-based post-filter for HMM-based speech synthesis},booktitle={IEEE Region 10 Conference (TENCON)},year={2015},pages={1--5},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BrmTIyaxlBUC},}
J. Thromb. Haemost. 15
Nuances of NOAC’S in a developing country-a single center experience
S. Iyengar, R. Ravibabu, S. Lakshman, A. Shenoy, G. Sridhar, M. Fulmali, and others
@article{iyengar2015nuances,author={Iyengar, S. and Ravibabu, R. and Lakshman, S. and Shenoy, A. and Sridhar, G. and Fulmali, M. and others},title={Nuances of NOAC'S in a developing country-a single center experience},journal={JOURNAL OF THROMBOSIS AND HAEMOSTASIS},year={2015},volume={13},pages={639--639},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kRWSkSYxWN8C},}
2014
IEEE TSP 14
Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography
@article{mukherjee2014fienup,author={Mukherjee, S. and Seelamantula, C. S.},title={Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography},journal={IEEE Transactions on Signal Processing},year={2014},volume={62},number={18},pages={4659--4672},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:g5m5HwL7SMYC},}
IEEE TSP 14
Super-resolution reconstruction in frequency-domain optical-coherence tomography using the finite-rate-of-innovation principle
@article{seelamantula2014super,author={Seelamantula, C. S. and Mulleti, S.},title={Super-resolution reconstruction in frequency-domain optical-coherence tomography using the finite-rate-of-innovation principle},journal={IEEE Transactions on Signal Processing},year={2014},volume={62},number={19},pages={5020--5029},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:3s1wT3WcHBgC},}
@article{venkitaraman2014auditory,author={Venkitaraman, A. and Adiga, A. and Seelamantula, C. S.},title={Auditory-motivated Gammatone wavelet transform},journal={Signal Processing},year={2014},volume={94},pages={608--619},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:JV2RwH3_ST0C},}
Signal Process. 14
Fractional Hilbert transform extensions and associated analytic signal construction
@article{venkitaraman2014fractional,author={Venkitaraman, A. and Seelamantula, C. S.},title={Fractional Hilbert transform extensions and associated analytic signal construction},journal={Signal processing},year={2014},volume={94},pages={359--372},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:R3hNpaxXUhUC},}
ICIP 14
Ultrasound image reconstruction using the finite-rate-of-innovation principle
S. Mulleti, S. Nagesh, R. Langoju, A. Patil, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2014
@inproceedings{mulleti2014ultrasound,author={Mulleti, S. and Nagesh, S. and Langoju, R. and Patil, A. and Seelamantula, C. S.},title={Ultrasound image reconstruction using the finite-rate-of-innovation principle},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2014},pages={1728--1732},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:f2IySw72cVMC},}
ICASSP 14
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising
J. Sadasivan, S. Mukherjee, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
@inproceedings{sadasivan2014optimum,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},title={An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:pqnbT2bcN3wC},}
DSP 14
Robust savitzky-golay filters
S. V. Menon, and C. S. Seelamantula
In 19th International Conference on Digital Signal Processing (DSP), 2014
@inproceedings{menon2014robust,author={Menon, S. V. and Seelamantula, C. S.},title={Robust savitzky-golay filters},booktitle={19th International Conference on Digital Signal Processing (DSP)},year={2014},pages={688--693},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4OULZ7Gr8RgC},}
IEEE TSP 14
Exact phase retrieval for a class of 2-D parametric signals
@article{shenoy2014exact_parametric,author={Shenoy, B. A. and Seelamantula, C. S.},title={Exact phase retrieval for a class of 2-D parametric signals},journal={IEEE Transactions on Signal Processing},year={2014},volume={63},number={1},pages={90--103},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:a0OBvERweLwC},}
NCC 14
Zero-crossings based spectrum sensing under noise uncertainties
S. Gurugopinath, C. R. Murthy, and C. S. Seelamantula
In Twentieth National Conference on Communications (NCC), 2014
@inproceedings{gurugopinath2014zero,author={Gurugopinath, S. and Murthy, C. R. and Seelamantula, C. S.},title={Zero-crossings based spectrum sensing under noise uncertainties},booktitle={Twentieth National Conference on Communications (NCC)},year={2014},pages={1--6},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:35N4QoGY0k4C},}
PLoS ONE 14
Quantifying vocal mimicry in the greater racket-tailed drongo: a comparison of automated methods and human assessment
S. Agnihotri, P. Sundeep, C. S. Seelamantula, and R. Balakrishnan
@article{agnihotri2014quantifying,author={Agnihotri, S. and Sundeep, P. and Seelamantula, C. S. and Balakrishnan, R.},title={Quantifying vocal mimicry in the greater racket-tailed drongo: a comparison of automated methods and human assessment},journal={PloS one},year={2014},volume={9},number={3},pages={e89540},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:NaGl4SEjCO4C},}
IEEE/ACM TASLP 14
Binaural signal processing motivated generalized analytic signal construction and AM-FM demodulation
A. Venkitaraman, and C. S. Seelamantula
IEEE/ACM transactions on audio, speech, and language processing, 2014
@article{venkitaraman2014binaural,author={Venkitaraman, A. and Seelamantula, C. S.},title={Binaural signal processing motivated generalized analytic signal construction and AM-FM demodulation},journal={IEEE/ACM transactions on audio, speech, and language processing},year={2014},volume={22},number={6},pages={1023--1033},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:lSLTfruPkqcC},}
DSP 14
An alternating \(\ell_p\)-\(\ell_2\)projections algorithm (ALPA) for speech modeling using sparsity constraints
A. Adiga, and C. S. Seelamantula
In 19th International Conference on Digital Signal Processing (DSP), 2014
@inproceedings{adiga2014alternating,author={Adiga, A. and Seelamantula, C. S.},title={An alternating {\(\ell_p\)}-{\(\ell_2\)}projections algorithm (ALPA) for speech modeling using sparsity constraints},booktitle={19th International Conference on Digital Signal Processing (DSP)},year={2014},pages={291--296},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:rO6llkc54NcC},}
ICASSP 14
On the role of the Hilbert transform in boosting the performance of the annihilating filter
S. Nagesh, S. Mulleti, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
@inproceedings{nagesh2014role,author={Nagesh, S. and Mulleti, S. and Seelamantula, C. S.},title={On the role of the Hilbert transform in boosting the performance of the annihilating filter},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:SeFeTyx0c_EC},}
ICASSP 14
Frequency domain linear prediction based on temporal analysis
R. R. Shenoy, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
@inproceedings{shenoy2014frequency,author={Shenoy, R. R. and Seelamantula, C. S.},title={Frequency domain linear prediction based on temporal analysis},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HoB7MX3m0LUC},}
arXiv 14
A split-and-merge dictionary learning algorithm for sparse representation
@article{mukherjee2014split,author={Mukherjee, S. and Seelamantula, C. S.},title={A split-and-merge dictionary learning algorithm for sparse representation},journal={arXiv preprint arXiv:1403.4781},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:J_g5lzvAfSwC},}
DSP 14
An unbiased risk estimator for multiplicative noise—Application to 1-D signal denoising
B. K. Panisetti, T. Blu, and C. S. Seelamantula
In 19th International Conference on Digital Signal Processing (DSP), 2014
@inproceedings{panisetti2014unbiased,author={Panisetti, B. K. and Blu, T. and Seelamantula, C. S.},title={An unbiased risk estimator for multiplicative noise—Application to 1-D signal denoising},booktitle={19th International Conference on Digital Signal Processing (DSP)},year={2014},pages={497--502},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:zA6iFVUQeVQC},}
IEEE SPL 14
Spatially adaptive kernel regression using risk estimation
S. R. Krishnan, C. S. Seelamantula, and P. Chakravarti
@article{krishnan2014spatially,author={Krishnan, S. R. and Seelamantula, C. S. and Chakravarti, P.},title={Spatially adaptive kernel regression using risk estimation},journal={IEEE Signal Processing Letters},year={2014},volume={21},number={4},pages={445--448},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GnPB-g6toBAC},}
arXiv 14
Risk Estimation Without Using Stein’s Lemma–Application to Image Denoising
@article{gubbi2014risk,author={Gubbi, S. V. and Seelamantula, C. S.},title={Risk Estimation Without Using Stein's Lemma--Application to Image Denoising},journal={arXiv preprint arXiv:1412.2210},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:D03iK_w7-QYC},}
arXiv 14
A risk minimization framework for channel estimation in OFDM systems
@article{upadhya2014risk,author={Upadhya, K. and Seelamantula, C. S. and Hari, K. V. S.},title={A risk minimization framework for channel estimation in OFDM systems},journal={arXiv preprint arXiv:1410.6028},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:OTTXONDVkokC},}
ICASSP 14
Ellipse fitting using finite rate of innovation principles
S. Mulleti, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
@inproceedings{mulleti2014ellipse,author={Mulleti, S. and Seelamantula, C. S.},title={Ellipse fitting using finite rate of innovation principles},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2014},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZHo1McVdvXMC},}
ICIP 14
Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition
S. Srinivas, A. Adiga, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2014
@inproceedings{srinivas2014controlled,author={Srinivas, S. and Adiga, A. and Seelamantula, C. S.},title={Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2014},pages={5826--5830},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_xSYboBqXhAC},}
ICIP 14
Exact reconstruction in quantitative phase microscopy
C. S. Seelamantula, B. A. Shenoy, S. Coquoz, and T. Lasser
In IEEE International Conference on Image Processing (ICIP), 2014
@inproceedings{seelamantula2014exact,author={Seelamantula, C. S. and Shenoy, B. A. and Coquoz, S. and Lasser, T.},title={Exact reconstruction in quantitative phase microscopy},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2014},pages={3934--3938},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bFI3QPDXJZMC},}
DSP 14
Optimum parameter selection in sparse reconstruction of frequency-domain optical-coherence tomography signals
S. R. Krishnan, and C. S. Seelamantula
In 19th International Conference on Digital Signal Processing (DSP), 2014
@inproceedings{krishnan2014optimum,author={Krishnan, S. R. and Seelamantula, C. S.},title={Optimum parameter selection in sparse reconstruction of frequency-domain optical-coherence tomography signals},booktitle={19th International Conference on Digital Signal Processing (DSP)},year={2014},pages={200--203},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:fPk4N6BV_jEC},}
IEEE SPL 14
A contraction mapping approach for robust estimation of lagged autocorrelation
@article{seelamantula2014contraction,author={Seelamantula, C. S. and Shenoy, R. R.},title={A contraction mapping approach for robust estimation of lagged autocorrelation},journal={IEEE Signal Processing Letters},year={2014},volume={21},number={9},pages={1054--1058},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:2P1L_qKh6hAC},}
CoRR 14
A Robust Dictionary Learning Algorithm for Image Denoising
@article{mukherjee2014robust,author={Mukherjee, S. and Basu, R. and Seelamantula, C. S.},title={A Robust Dictionary Learning Algorithm for Image Denoising},journal={CoRR},year={2014},volume={abs/1403.4781},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dfsIfKJdRG4C},}
DSP 14
A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising
S. Mukherjee, and C. S. Seelamantula
In 19th International Conference on Digital Signal Processing (DSP), 2014
@inproceedings{mukherjee2014split_merge,author={Mukherjee, S. and Seelamantula, C. S.},title={A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising},booktitle={19th International Conference on Digital Signal Processing (DSP)},year={2014},pages={310--315},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:u_35RYKgDlwC},}
2013
TENCON 13
Gammatone wavelet cepstral coefficients for robust speech recognition
A. Adiga, M. Magimai, and C. S. Seelamantula
In IEEE international conference of IEEE region 10 (TENCON), 2013
@inproceedings{adiga2013gammatone,author={Adiga, A. and Magimai, M. and Seelamantula, C. S.},title={Gammatone wavelet cepstral coefficients for robust speech recognition},booktitle={IEEE international conference of IEEE region 10 (TENCON)},year={2013},pages={1--4},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hMod-77fHWUC},}
ICASSP 13
Bilateral edge detectors
A. Jose, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013
@inproceedings{jose2013bilateral,author={Jose, A. and Seelamantula, C. S.},title={Bilateral edge detectors},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2013},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4JMBOYKVnBMC},}
IEEE SPL 13
A Savitzky-Golay filtering perspective of dynamic feature computation
S. R. Krishnan, M. M. Doss, and C. S. Seelamantula
@article{krishnan2013savitzky,author={Krishnan, S. R. and Doss, M. M. and Seelamantula, C. S.},title={A Savitzky-Golay filtering perspective of dynamic feature computation},journal={IEEE Signal Processing Letters},year={2013},volume={20},number={3},pages={281--284},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hC7cP41nSMkC},}
ICIP 13
A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images
J. K. Mogali, N. Nallapareddy, C. S. Seelamantula, and M. Unser
In IEEE International Conference on Image Processing (ICIP), 2013
@inproceedings{mogali2013shape,author={Mogali, J. K. and Nallapareddy, N. and Seelamantula, C. S. and Unser, M.},title={A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2013},pages={1177--1181},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:r0BpntZqJG4C},}
@article{venkitaraman2013temporal,author={Venkitaraman, A. and Seelamantula, C. S.},title={Temporal envelope fit of transient audio signals},journal={IEEE Signal Processing Letters},year={2013},volume={20},number={12},pages={1191--1194},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:maZDTaKrznsC},}
ICIP 13
Ridge detection using savitzky-golay filtering and steerable second-order gaussian derivatives
A. Jose, S. R. Krishnan, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2013
@inproceedings{jose2013ridge,author={Jose, A. and Krishnan, S. R. and Seelamantula, C. S.},title={Ridge detection using savitzky-golay filtering and steerable second-order gaussian derivatives},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2013},pages={3059--3063},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:isC4tDSrTZIC},}
ICIP 13
SURE-optimal two-dimensional Savitzky-Golay filters for image denoising
S. V. Menon, and C. S. Seelamantula
In IEEE International Conference on Image Processing (ICIP), 2013
@inproceedings{menon2013sure,author={Menon, S. V. and Seelamantula, C. S.},title={SURE-optimal two-dimensional Savitzky-Golay filters for image denoising},booktitle={IEEE International Conference on Image Processing (ICIP)},year={2013},pages={459--463},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bEWYMUwI8FkC},}
arXiv 13
Template-based active contours
J. K. Mogali, A. K. Pediredla, and C. S. Seelamantula
@article{mogali2013template,author={Mogali, J. K. and Pediredla, A. K. and Seelamantula, C. S.},title={Template-based active contours},journal={arXiv preprint arXiv:1312.0760},year={2013},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:blknAaTinKkC},}
TENCON 13
Cell tracking using particle filters and level sets
B. Vishwanath, and C. S. Seelamantula
In IEEE International Conference of IEEE Region 10 (TENCON), 2013
@inproceedings{vishwanath2013cell,author={Vishwanath, B. and Seelamantula, C. S.},title={Cell tracking using particle filters and level sets},booktitle={IEEE International Conference of IEEE Region 10 (TENCON)},year={2013},pages={1--4},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:YFjsv_pBGBYC},}
CONECCT 13
A multichannel sampling method for 2-D finite-rate-of-innovation signals
S. Mulleti, B. A. Shenoy, and C. S. Seelamantula
In IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2013
@inproceedings{mulleti2013multichannel,author={Mulleti, S. and Shenoy, B. A. and Seelamantula, C. S.},title={A multichannel sampling method for 2-D finite-rate-of-innovation signals},booktitle={IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)},year={2013},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:mB3voiENLucC},}
IEEE SPL 13
On computing amplitude, phase, and frequency modulations using a vector interpretation of the analytic signal
@article{venkitaraman2013computing,author={Venkitaraman, A. and Seelamantula, C. S.},title={On computing amplitude, phase, and frequency modulations using a vector interpretation of the analytic signal},journal={IEEE Signal Processing Letters},year={2013},volume={20},number={12},pages={1187--1190},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:k_IJM867U9cC},}
J. Indian Inst. Sci. 13
Hilbert transform relations in frequency-domain optical-coherence tomographic imaging
@article{seelamantula2013hilbert,author={Seelamantula, C. S. and Lasser, T.},title={Hilbert transform relations in frequency-domain optical-coherence tomographic imaging},journal={Journal of the Indian Institute of Science},year={2013},volume={93},number={1},pages={139--148},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HDshCWvjkbEC},}
SPARS 13
Sparse signal reconstruction in shift-invariant spaces
M. Satish, A. Shenoy, and S. Chandra
In Signal Processing with Adaptive Sparse Structured Representations, 2013
@inproceedings{satish2013sparse,author={Satish, M. and Shenoy, A. and Chandra, S.},title={Sparse signal reconstruction in shift-invariant spaces},booktitle={Signal Processing with Adaptive Sparse Structured Representations},year={2013},pages={665--668},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_Qo2XoVZTnwC},}
ICASSP 13
Riesz-transform-based demodulation of narrowband spectrograms of voiced speech
H. Aragonda, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013
@inproceedings{aragonda2013riesz,author={Aragonda, H. and Seelamantula, C. S.},title={Riesz-transform-based demodulation of narrowband spectrograms of voiced speech},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2013},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:RHpTSmoSYBkC},}
JASA 13
Spectral-envelope–group-delay models for transients
R. R. Shenoy, and C. S. Seelamantula
The Journal of the Acoustical Society of America, 2013
@article{shenoy2013spectral_envelope,author={Shenoy, R. R. and Seelamantula, C. S.},title={Spectral-envelope–group-delay models for transients},journal={The Journal of the Acoustical Society of America},year={2013},volume={133},number={5},pages={2788--2802},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:TQgYirikUcIC},}
2012
IEEE TSP 12
On the selection of optimum Savitzky-Golay filters
@article{krishnan2012selection,author={Krishnan, S. R. and Seelamantula, C. S.},title={On the selection of optimum Savitzky-Golay filters},journal={IEEE transactions on signal processing},year={2012},volume={61},number={2},pages={380--391},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dhFuZR0502QC},}
ICASSP 12
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography
S. Mukherjee, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
@inproceedings{mukherjee2012iterative,author={Mukherjee, S. and Seelamantula, C. S.},title={An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4TOpqqG69KYC},}
ICASSP 12
SURE-fast bilateral filters
H. Kishan, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
@inproceedings{kishan2012sure,author={Kishan, H. and Seelamantula, C. S.},title={SURE-fast bilateral filters},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_kc_bZDykSQC},}
ICASSP 12
A unified approach for optimization of snakuscules and ovuscules
A. K. Pediredla, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
@inproceedings{pediredla2012unified,author={Pediredla, A. K. and Seelamantula, C. S.},title={A unified approach for optimization of snakuscules and ovuscules},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Wp0gIr-vW9MC},}
IEEE TASLP 12
A mixture model approach for formant tracking and the robustness of student’s-t distribution
H. Sundar, C. S. Seelamantula, and T. V. Sreenivas
IEEE transactions on audio, speech, and language processing, 2012
@article{sundar2012mixture,author={Sundar, H. and Seelamantula, C. S. and Sreenivas, T. V.},title={A mixture model approach for formant tracking and the robustness of student's-t distribution},journal={IEEE transactions on audio, speech, and language processing},year={2012},volume={20},number={10},pages={2626--2636},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:YOwf2qJgpHMC},}
IEEE SPL 12
A technique to compute smooth amplitude, phase, and frequency modulations from the analytic signal
@article{venkitaraman2012technique,author={Venkitaraman, A. and Seelamantula, C. S.},title={A technique to compute smooth amplitude, phase, and frequency modulations from the analytic signal},journal={IEEE Signal Processing Letters},year={2012},volume={19},number={10},pages={623--626},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ULOm3_A8WrAC},}
SPCOM 12
Spectral zero-crossings: Localization properties and application to epoch extraction in speech signals
R. R. Shenoy, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2012
@inproceedings{shenoy2012spectral,author={Shenoy, R. R. and Seelamantula, C. S.},title={Spectral zero-crossings: Localization properties and application to epoch extraction in speech signals},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:qxL8FJ1GzNcC},}
STSIP 12
A non-iterative phase retrieval algorithm for minimum-phase signals using the annihilating filter
S. Mukherjee, and C. S. Seelamantula
Sampling Theory in Signal and Image Processing, 2012
@article{mukherjee2012non,author={Mukherjee, S. and Seelamantula, C. S.},title={A non-iterative phase retrieval algorithm for minimum-phase signals using the annihilating filter},journal={Sampling Theory in Signal and Image Processing},year={2012},volume={11},pages={165--193},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:70eg2SAEIzsC},}
Opt. Lett. 12
Optimal sparsifying bases for frequency-domain optical-coherence tomography
@article{nayak2012optimal,author={Nayak, R. and Seelamantula, C. S.},title={Optimal sparsifying bases for frequency-domain optical-coherence tomography},journal={Optics Letters},year={2012},volume={37},number={23},pages={4907--4909},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:7PzlFSSx8tAC},}
ICIP 12
Optimal parameter selection for bilateral filters using Poisson Unbiased Risk Estimate
H. Kishan, and C. S. Seelamantula
In 19th IEEE International Conference on Image Processing (ICIP), 2012
@inproceedings{kishan2012optimal,author={Kishan, H. and Seelamantula, C. S.},title={Optimal parameter selection for bilateral filters using Poisson Unbiased Risk Estimate},booktitle={19th IEEE International Conference on Image Processing (ICIP)},year={2012},pages={121--124},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:-f6ydRqryjwC},}
ICIP 12
Bilateral smoothing of gradient vector field and application to image segmentation
R. S. Hegadi, A. K. Pediredla, and C. S. Seelamantula
In 19th IEEE International Conference on Image Processing (ICIP), 2012
@inproceedings{hegadi2012bilateral,author={Hegadi, R. S. and Pediredla, A. K. and Seelamantula, C. S.},title={Bilateral smoothing of gradient vector field and application to image segmentation},booktitle={19th IEEE International Conference on Image Processing (ICIP)},year={2012},pages={317--320},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hFOr9nPyWt4C},}
SPCOM 12
Some new results on signal reconstruction from Fourier transform magnitude spectrum
C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2012
@inproceedings{seelamantula2012some,author={Seelamantula, C. S.},title={Some new results on signal reconstruction from Fourier transform magnitude spectrum},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:aqlVkmm33-oC},}
SAPA-INTERSPEECH 12
A generalized Stein’s estimation approach for speech enhancement based on perceptual criteria
@inproceedings{krishnan2012generalized,author={Krishnan, S. R. and Seelamantula, C. S.},title={A generalized Stein's estimation approach for speech enhancement based on perceptual criteria},booktitle={SAPA@ INTERSPEECH},year={2012},pages={28--33},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:mVmsd5A6BfQC},}
SPCOM 12
A risk-estimation-based formulation for speech enhancement and its relation to wiener filtering
N. R. Muraka, and C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2012
@inproceedings{muraka2012risk,author={Muraka, N. R. and Seelamantula, C. S.},title={A risk-estimation-based formulation for speech enhancement and its relation to wiener filtering},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4DMP91E08xMC},}
JOSA A 12
Zero-crossing approach to high-resolution reconstruction in frequency-domain optical-coherence tomography
S. R. Krishnan, C. S. Seelamantula, A. Bouwens, M. Leutenegger, and T. Lasser
@article{krishnan2012zero,author={Krishnan, S. R. and Seelamantula, C. S. and Bouwens, A. and Leutenegger, M. and Lasser, T.},title={Zero-crossing approach to high-resolution reconstruction in frequency-domain optical-coherence tomography},journal={Journal of the Optical Society of America A},year={2012},volume={29},number={10},pages={2080--2091},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:M3ejUd6NZC8C},}
STSIP 12
SURE-optimal bandwidth selection in nonparametric regression
S. R. Krishnan, and C. S. Seelamantula
Sampling Theory in Signal and Image Processing, 2012
@article{krishnan2012sure,author={Krishnan, S. R. and Seelamantula, C. S.},title={SURE-optimal bandwidth selection in nonparametric regression},journal={Sampling Theory in Signal and Image Processing},year={2012},volume={11},pages={133--163},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:vV6vV6tmYwMC},}
AES 12
Spectral zero-crossings alone enable reliable estimation of interaural time difference
R. R. Shenoy, and C. S. Seelamantula
In Audio Engineering Society Conference: 45th International Conference on Applications of Time-Frequency Processing in Audio, 2012
@inproceedings{shenoy2012spectral_zero,author={Shenoy, R. R. and Seelamantula, C. S.},title={Spectral zero-crossings alone enable reliable estimation of interaural time difference},booktitle={Audio Engineering Society Conference: 45th International Conference on Applications of Time-Frequency Processing in Audio},year={2012},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kNdYIx-mwKoC},}
2011
INTERSPEECH 11
A Risk-Estimation-Based Comparison of Mean Square Error and Itakura-Saito Distortion Measures for Speech Enhancement
@inproceedings{muraka2011risk,author={Muraka, N. R. and Seelamantula, C. S.},title={A Risk-Estimation-Based Comparison of Mean Square Error and Itakura-Saito Distortion Measures for Speech Enhancement},booktitle={INTERSPEECH},year={2011},pages={349--352},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:MXK_kJrjxJIC},}
ISPA 11
Active-contour-based automated image quantitation techniques for western blot analysis
A. K. Pediredla, and C. S. Seelamantula
In 7th International Symposium on Image and Signal Processing and Analysis (ISPA), 2011
@inproceedings{pediredla2011active,author={Pediredla, A. K. and Seelamantula, C. S.},title={Active-contour-based automated image quantitation techniques for western blot analysis},booktitle={7th International Symposium on Image and Signal Processing and Analysis (ISPA)},year={2011},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5nxA0vEk-isC},}
ISPA 11
A Huber-loss-driven clustering technique and its application to robust cell detection in confocal microscopy images
A. K. Pediredla, and C. S. Seelamantula
In 7th International Symposium on Image and Signal Processing and Analysis (ISPA), 2011
@inproceedings{pediredla2011huber,author={Pediredla, A. K. and Seelamantula, C. S.},title={A Huber-loss-driven clustering technique and its application to robust cell detection in confocal microscopy images},booktitle={7th International Symposium on Image and Signal Processing and Analysis (ISPA)},year={2011},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hqOjcs7Dif8C},}
NCC 11
Efficient post-processing techniques for speech enhancement
V. Ramakrishnan, K. Shetty, K. G. Pawan, and C. S. Seelamantula
In National Conference on Communications (NCC), 2011
@inproceedings{ramakrishnan2011efficient,author={Ramakrishnan, V. and Shetty, K. and Pawan, K. G. and Seelamantula, C. S.},title={Efficient post-processing techniques for speech enhancement},booktitle={National Conference on Communications (NCC)},year={2011},pages={1--5},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WF5omc3nYNoC},}
ICASSP 11
Quadrature approximation properties of the spiral-phase quadrature transform
H. Aragonda, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
@inproceedings{aragonda2011quadrature,author={Aragonda, H. and Seelamantula, C. S.},title={Quadrature approximation properties of the spiral-phase quadrature transform},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2011},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Se3iqnhoufwC},}
ICASSP 11
Spectral-envelope and group-delay models for transient signals—Applications to castanets and stop consonants
R. R. Shenoy, and C. S. Seelamantula
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
@inproceedings{shenoy2011spectral_envelope,author={Shenoy, R. R. and Seelamantula, C. S.},title={Spectral-envelope and group-delay models for transient signals—Applications to castanets and stop consonants},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2011},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:roLk4NBRz8UC},}
SampTA 11
A finite-rate-of-innovation signal sampling perspective of the source-filter model of speech production
@inproceedings{seelamantula2011finite,author={Seelamantula, C. S.},title={A finite-rate-of-innovation signal sampling perspective of the source-filter model of speech production},booktitle={SampTA},year={2011},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:3fE2CSJIrl8C},}
2010
Phys. Med. Biol. 10
A fast time-domain algorithm for the assessment of tissue blood flow in laser-Doppler flowmetry
T. Binzoni, C. S. Seelamantula, and D. Van De Ville
@article{binzoni2010fast,author={Binzoni, T. and Seelamantula, C. S. and Van De Ville, D.},title={A fast time-domain algorithm for the assessment of tissue blood flow in laser-Doppler flowmetry},journal={Physics in Medicine \& Biology},year={2010},volume={55},number={13},pages={N383},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Tyk-4Ss8FVUC},}
SPCOM 10
A sub-Nyquist sampling method for computing the level-crossing-times of an analog signal: Theory and applications
C. S. Seelamantula
In International Conference on Signal Processing and Communications (SPCOM), 2010
@inproceedings{seelamantula2010sub,author={Seelamantula, C. S.},title={A sub-Nyquist sampling method for computing the level-crossing-times of an analog signal: Theory and applications},booktitle={International Conference on Signal Processing and Communications (SPCOM)},year={2010},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Y0pCki6q_DkC},}
INTERSPEECH 10
A multimodal density function estimation approach to formant tracking
S. Harshavardhan, C. S. Seelamantula, and T. V. Sreenivas
@inproceedings{harshavardhan2010multimodal,author={Harshavardhan, S. and Seelamantula, C. S. and Sreenivas, T. V.},title={A multimodal density function estimation approach to formant tracking},booktitle={Proc. Interspeech},year={2010},volume={2010},pages={2410--2413},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:eQOLeE2rZwMC},}
2009
JASA 09
Vocalizations of wild Asian elephants (Elephas maximus): structural classification and social context
S. Nair, R. Balakrishnan, C. S. Seelamantula, and R. Sukumar
The Journal of the Acoustical Society of America, 2009
@article{nair2009vocalizations,author={Nair, S. and Balakrishnan, R. and Seelamantula, C. S. and Sukumar, R.},title={Vocalizations of wild Asian elephants (Elephas maximus): structural classification and social context},journal={The Journal of the Acoustical Society of America},year={2009},volume={126},number={5},pages={2768--2778},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:2osOgNQ5qMEC},}