Publications

2025

1. SIGGRAPH Asia 25

   SplineSplat: Representing Radiance Fields Using B-Splines

   N. G. Thomas, and C. S. Seelamantula

   In Proceedings of the SIGGRAPH Asia 2025 Technical Communications, , 2025

   Abs DOI BIB URL

   3D Gaussian Splatting (3DGS) has revolutionized novel view synthesis by offering excellent visual quality, real-time rendering and faster training. However, the infinite support and inherent smoothness of Gaussian kernels limit their ability to reconstruct fine geometric details and high-frequency texture, while also introducing domain-clipping artifacts near scene boundaries. We introduce SplineSplat, a novel approach that replaces Gaussian kernels with compactly supported and scalable polynomial B-spline bases, specifically, linear, quadratic, and cubic splines. B-Splines offer improved spatial localization, greater representational flexibility, and efficient evaluation through piecewise-polynomial definitions. We utilize fast spline computation strategies that enable significant training acceleration without sacrificing rendering quality or speed. Evaluations on the Mip-NeRF 360 static dataset and NVIDIA dynamic dataset demonstrate that SplineSplat matches the reconstruction fidelity of 3DGS while reducing training time by up to 18%, making it an effective kernel for high-performance radiance-field representations.

   @inproceedings{10.1145/3757376.3771418,
     address = {New York, NY, USA},
     articleno = {18},
     author = {Thomas, N. G. and Seelamantula, C. S.},
     booktitle = {Proceedings of the SIGGRAPH Asia 2025 Technical Communications},
     doi = {10.1145/3757376.3771418},
     isbn = {9798400721366},
     location = {
     },
     numpages = {4},
     publisher = {Association for Computing Machinery},
     series = {SA Technical Communications '25},
     title = {{SplineSplat}: {R}epresenting Radiance Fields Using {B}-Splines},
     url = {https://doi.org/10.1145/3757376.3771418},
     year = {2025}
   }

2. SIIMS 25

   LURE: An Unsupervised Denoising Framework for Multiplicative Lognormal Noise

   M. Bakshi, G. Venkat, N. Bisen, C. S. Seelamantula, and T. Blu

   SIAM Journal on Imaging Sciences, 2025

   BIB URL

   @article{bakshi2025lure,
     author = {Bakshi, M. and Venkat, G. and Bisen, N. and Seelamantula, C. S. and Blu, T.},
     journal = {SIAM Journal on Imaging Sciences},
     number = {4},
     pages = {2580--2604},
     publisher = {SIAM},
     title = {LURE: An Unsupervised Denoising Framework for Multiplicative Lognormal Noise},
     url = {https://epubs.siam.org/doi/full/10.1137/24M1700508},
     volume = {18},
     year = {2025}
   }

3. IEEE ICIP 25

   Deep Unsupervised Despeckling With Unbiased Risk Estimation

   A. Gupta, C. S. Seelamantula, T. Blu, N. Dube, and S. Raman

   In IEEE International Conference on Image Processing (ICIP), 2025

   DOI BIB URL

   @inproceedings{gupta2025deep,
     author = {Gupta, A. and Seelamantula, C. S. and Blu, T. and Dube, N. and Raman, S.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     doi = {10.1109/ICIP55913.2025.11084619},
     number = {},
     pages = {893-898},
     title = {Deep Unsupervised Despeckling With Unbiased Risk Estimation},
     url = {https://ieeexplore.ieee.org/document/11084619},
     volume = {},
     year = {2025}
   }

4. ISCS 25

   3D-Image Reconstruction using MIMO-SAR FMCW Radar

   A. Jha, C. Dhanireddy, C. S. Seelamantula, and C. S. Thakur

   2025

   BIB URL

   @misc{jha2025image,
     archiveprefix = {arXiv},
     author = {Jha, A. and Dhanireddy, C. and Seelamantula, C. S. and Thakur, C. S.},
     eprint = {2509.05977},
     primaryclass = {eess.SP},
     title = {3D-Image Reconstruction using MIMO-SAR FMCW Radar},
     url = {https://arxiv.org/abs/2509.05977},
     year = {2025}
   }

5. ISCS 25

   Weakly-Convex Regularization for Magnetic Resonance Image Denoising

   A. Prabakar, A. S. Bhandiwad, A. J. Kamath, and C. S. Seelamantula

   2025

   BIB URL

   @misc{prabakar2025weakly,
     archiveprefix = {arXiv},
     author = {Prabakar, A. and Bhandiwad, A. S. and Kamath, A. J. and Seelamantula, C. S.},
     eprint = {2508.14438},
     primaryclass = {eess.SP},
     title = {Weakly-Convex Regularization for Magnetic Resonance Image Denoising},
     url = {https://arxiv.org/abs/2508.14438},
     year = {2025}
   }

6. IEEE TSP 25

   DeepFRI: A Deep Plug-and-Play Technique for Finite-Rate-of-Innovation Signal Reconstruction

   A. J. Kamath, S. B. Patil, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2025

   DOI BIB CODE URL

   @article{kamath2025deepfri,
     author = {Kamath, A. J. and Patil, S. B. and Seelamantula, C. S.},
     doi = {10.1109/TSP.2025.3589394},
     journal = {IEEE Transactions on Signal Processing},
     title = {{DeepFRI:} A Deep Plug-and-Play Technique for Finite-Rate-of-Innovation Signal Reconstruction},
     url = {https://ieeexplore.ieee.org/abstract/document/11080367},
     year = {2025}
   }

7. 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

   Article BIB URL

   @inproceedings{kamath2025neuromorphic,
     article_page = {/articles/neuromorphic-unlimited-sampling/},
     author = {Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BJbdYPG6LGMC},
     year = {2025}
   }

8. 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

   BIB URL

   @inproceedings{verma2025diffusion,
     author = {Verma, A. and Boominathan, V. and Veeraraghavan, A. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Diffusion Model Based Image Reconstruction in Lensless Imaging},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:vDZJ-YLwNdEC},
     year = {2025}
   }

9. 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

   BIB URL

   @inproceedings{kamath2025design,
     author = {Kamath, A. J. and Bhandiwad, A. S. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:artPoR2Yc-kC},
     year = {2025}
   }

10. 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

    BIB URL

    @inproceedings{shetty2025monte,
      author = {Shetty, N. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Monte Carlo Score Matching for Image Generation},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tH6gc1N1XXoC},
      year = {2025}
    }

11. 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

    BIB URL

    @inproceedings{nareddy2025intriguing,
      author = {Nareddy, K. K. R. and Perumal, I. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:gKiMpY-AVTkC},
      year = {2025}
    }

12. 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

    BIB URL

    @inproceedings{bakshi2025efficientnet,
      author = {Bakshi, M. and Seelamantula, C. S.},
      booktitle = {MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy},
      title = {EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ak0FvsSvgGUC},
      year = {2025}
    }

13. 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

    BIB URL

    @inproceedings{bharadwaj2025obscure,
      author = {Bharadwaj, S. and Seth, P. and Seelamantula, C. S.},
      booktitle = {Medical Imaging with Deep Learning-Short Papers},
      title = {Obscure to Observe: A Lesion-Aware MAE for Glaucoma Detection from Retinal Context},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Bg7qf7VwUHIC},
      year = {2025}
    }

2024

1. SIIMS 24

   Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices

   K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula

   SIAM Journal on Imaging Sciences, 2024

   Article BIB URL

   @article{nareddy2024tight,
     article_page = {/articles/tight-frame-data-fidelity/},
     author = {Nareddy, K. K. R. and Kamath, A. J. and Seelamantula, C. S.},
     journal = {SIAM Journal on Imaging Sciences},
     number = {3},
     pages = {1587--1618},
     title = {Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5MTHONV0fEkC},
     volume = {17},
     year = {2024}
   }

2. 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

   BIB URL

   @inproceedings{kamath2024neuromorphic,
     author = {Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Neuromorphic Sensing Meets Unlimited Sampling},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_OXeSy2IsFwC},
     year = {2024}
   }

3. 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

   BIB URL

   @inproceedings{bhandiwad2024variational,
     author = {Bhandiwad, A. S. and Kamath, A. J. and Asokan, S. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Variational Analysis of Adversarial Regularization for Solving Inverse Problems},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GFxP56DSvIMC},
     year = {2024}
   }

4. 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

   BIB URL

   @inproceedings{nareddy2024image,
     author = {Nareddy, K. K. R. and Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8xutWZnSdmoC},
     year = {2024}
   }

5. 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

   BIB URL

   @inproceedings{herur2024addressing,
     author = {Herur, A. N. and Santhosh, V. and Shetty, N. and Seelamantula, C. S.},
     booktitle = {Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP)},
     title = {Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nVrZBo8bIpAC},
     year = {2024}
   }

6. 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

   BIB URL

   @inproceedings{kamath2024method,
     author = {Kamath, A. J. and Reddy, N. K. K. and Seelamantula, C. S.},
     booktitle = {International Conference on Signal Processing and Communications (SPCOM)},
     title = {Method of Alternating Proximations for Solving Linear Inverse Problems},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:lvd772isFD0C},
     year = {2024}
   }

7. 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

   BIB URL

   @inproceedings{shetty2024momentum,
     author = {Shetty, N. and Bandla, M. and Neema, N. and Asokan, S. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZzlSgRqYykMC},
     year = {2024}
   }

2023

1. 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

   Scientific data, 2023

   BIB URL

   @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},
     journal = {Scientific data},
     number = {1},
     pages = {70},
     title = {Ch{\'a}k{\d{s}}u: A glaucoma specific fundus image database},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HtS1dXgVpQUC},
     volume = {10},
     year = {2023}
   }

2. Nat. Nanotechnol. 23

   Achieving nanoscale precision using neuromorphic localization microscopy

   R. Mangalwedhekar , N. Singh, C. S. Thakur, C. S. Seelamantula, M. Jose, and  others

   Nature Nanotechnology, 2023

   BIB URL

   @article{mangalwedhekar2023achieving,
     author = {Mangalwedhekar, R. and Singh, N. and Thakur, C. S. and Seelamantula, C. S. and Jose, M. and others},
     journal = {Nature Nanotechnology},
     number = {4},
     pages = {380--389},
     title = {Achieving nanoscale precision using neuromorphic localization microscopy},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:DJbcl8HfkQkC},
     volume = {18},
     year = {2023}
   }

3. IEEE TCI 23

   Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion

   S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula

   IEEE Transactions on Computational Imaging, 2023

   BIB URL

   @article{mache2023introducing,
     author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Computational Imaging},
     pages = {475--489},
     title = {Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HeT0ZceujKMC},
     volume = {9},
     year = {2023}
   }

4. JMLR 23

   Euler-Lagrange analysis of generative adversarial networks

   S. Asokan, and C. S. Seelamantula

   Journal of Machine Learning Research, 2023

   BIB URL

   @article{asokan2023euler,
     author = {Asokan, S. and Seelamantula, C. S.},
     journal = {Journal of Machine Learning Research},
     number = {126},
     pages = {1--100},
     title = {Euler-Lagrange analysis of generative adversarial networks},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yMeIxYmEMEAC},
     volume = {24},
     year = {2023}
   }

5. arXiv 23

   Neuromorphic sampling of signals in shift-invariant spaces

   A. J. Kamath, and C. S. Seelamantula

   arXiv preprint arXiv:2306.05103, 2023

   BIB URL

   @article{kamath2023neuromorphic,
     author = {Kamath, A. J. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2306.05103},
     title = {Neuromorphic sampling of signals in shift-invariant spaces},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:a3BOlSfXSfwC},
     year = {2023}
   }

6. arXiv 23

   Data Interpolants–That’s What Discriminators in Higher-order Gradient-regularized GANs Are

   S. Asokan, and C. S. Seelamantula

   arXiv preprint arXiv:2306.00785, 2023

   BIB URL

   @article{asokan2023data,
     author = {Asokan, S. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2306.00785},
     title = {Data Interpolants--That's What Discriminators in Higher-order Gradient-regularized GANs Are},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:r_AWSJRzSzQC},
     year = {2023}
   }

7. 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

   BIB URL

   @inproceedings{asokan2023spider,
     author = {Asokan, S. and Seelamantula, C. S.},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     title = {Spider GAN: Leveraging friendly neighbors to accelerate GAN training},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:fFSKOagxvKUC},
     year = {2023}
   }

8. 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

   BIB URL

   @inproceedings{kamath2023multichannel,
     author = {Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Multichannel time-encoding of finite-rate-of-innovation signals},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:3htObqc8RwsC},
     year = {2023}
   }

9. arXiv 23

   Gans settle scores!

   S. Asokan , N. Shetty, A. Srikanth, and C. S. Seelamantula

   arXiv preprint arXiv:2306.01654, 2023

   BIB URL

   @article{asokan2023gans,
     author = {Asokan, S. and Shetty, N. and Srikanth, A. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2306.01654},
     title = {Gans settle scores!},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LhH-TYMQEocC},
     year = {2023}
   }

10. arXiv 23

    Neuromorphic Sampling of Sparse Signals

    A. J. Kamath, and C. S. Seelamantula

    arXiv preprint arXiv:2310.15750, 2023

    BIB URL

    @article{kamath2023neuromorphic_sparse,
      author = {Kamath, A. J. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:2310.15750},
      title = {Neuromorphic Sampling of Sparse Signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nZcligLrVowC},
      year = {2023}
    }

11. 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

    Diagnostics, 2023

    BIB URL

    @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},
      journal = {Diagnostics},
      number = {16},
      pages = {2659},
      title = {Deep-learning-based visualization and volumetric analysis of fluid regions in optical coherence tomography scans},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:OP4eGU-M3BUC},
      volume = {13},
      year = {2023}
    }

12. 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

    BIB URL

    @inproceedings{reddy2023quantized,
      author = {Reddy, N. K. K. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      title = {Quantized proximal averaging networks for compressed image recovery},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yqoGN6RLRZoC},
      year = {2023}
    }

13. 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

    BIB URL

    @inproceedings{asokan2023game,
      author = {Asokan, S. and Mohammed, F. S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {A Game of Snakes and Gans},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:OR75R8vi5nAC},
      year = {2023}
    }

14. 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

    Scientific Data, 2023

    BIB URL

    @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},
      journal = {Scientific Data},
      number = {1},
      title = {Chaksu: A glaucoma specific fundus image database (vol 10, 70, 2023)},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Aul-kAQHnToC},
      volume = {10},
      year = {2023}
    }

15. 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

    BIB URL

    @inproceedings{reddy2023quantized_generative,
      author = {Reddy, N. K. K. and Killedar, V. and Seelamantula, C. S.},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
      title = {Quantized Generative Models for Solving Inverse Problems},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:P7Ujq4OLJYoC},
      year = {2023}
    }

2022

1. 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

   BIB URL

   @inproceedings{killedar2022compressive,
     author = {Killedar, V. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Compressive phase retrieval based on sparse latent generative priors},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9c2xU6iGI7YC},
     year = {2022}
   }

2. 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

   BIB URL

   @inproceedings{kamath2022differentiate,
     author = {Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Differentiate-and-fire time-encoding of finite-rate-of-innovation signals},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:IUKN3-7HHlwC},
     year = {2022}
   }

3. IJWMIP 22

   Quantization-aware phase retrieval

   S. Mukherjee, and C. S. Seelamantula

   International Journal of Wavelets, Multiresolution and Information Processing, 2022

   BIB URL

   @article{mukherjee2022quantization,
     author = {Mukherjee, S. and Seelamantula, C. S.},
     journal = {International Journal of Wavelets, Multiresolution and Information Processing},
     title = {Quantization-aware phase retrieval},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:KUbvn5osdkgC},
     year = {2022}
   }

4. 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

   BIB URL

   @inproceedings{asokan2022lsgans,
     author = {Asokan, S. and Seelamantula, C. S.},
     booktitle = {First Workshop on Interpolation Regularizers and Beyond at NeurIPS},
     title = {LSGANs with gradient regularizers are smooth high-dimensional interpolators},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:mNrWkgRL2YcC},
     year = {2022}
   }

5. 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

   BIB URL

   @article{mache2022hilbert,
     author = {Mache, S. and Chatterjee, A. and Rajendran, K. and Seelamantula, C. S.},
     journal = {Bulletin of the Seismological Society of America},
     number = {6},
     pages = {2847--2858},
     title = {Hilbert–Huang Transform and Energy Rate Functions for Earthquake Source Characterization—A Study from the Japan Trench},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HIFyuExEbWQC},
     volume = {112},
     year = {2022}
   }

6. 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

   BIB URL

   @inproceedings{nareddy2022ensemble,
     author = {Nareddy, K. K. R. and Mache, S. and Pokala, P. K. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {1251--1255},
     title = {An ensemble of proximal networks for sparse coding},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4vMrXwiscB8C},
     year = {2022}
   }

7. 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

   BIB URL

   @inproceedings{asokan2022bridging,
     author = {Asokan, S. and Seelamantula, C. S.},
     booktitle = {The Symbiosis of Deep Learning and Differential Equations II},
     title = {Bridging the gap between Coulomb GAN and gradient-regularized WGAN},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:cWzG1nlazyYC},
     year = {2022}
   }

8. 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

   ISSS Journal of Micro and Smart Systems, 2022

   BIB URL

   @article{gagan2022rapid,
     author = {Gagan, J. H. and Kumar, J. R. H. and Seelamantula, C. S. and Adiga, C. S.},
     journal = {ISSS Journal of Micro and Smart Systems},
     number = {2},
     pages = {397--405},
     title = {RaPiD: a Raspberry Pi-based optical fundoscope},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dBIO0h50nwkC},
     volume = {11},
     year = {2022}
   }

2021

1. IEEE TSP 21

   Adaptive Savitzky-Golay filtering in non-Gaussian noise

   A. John, J. Sadasivan, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2021

   BIB URL

   @article{john2021adaptive,
     author = {John, A. and Sadasivan, J. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     pages = {5021--5036},
     title = {Adaptive Savitzky-Golay filtering in non-Gaussian noise},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_5tno0g5mFcC},
     volume = {69},
     year = {2021}
   }

2. 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

   BIB URL

   @article{pokala2021iteratively,
     author = {Pokala, P. K. and Hemadri, R. V. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     number = {12},
     pages = {8992--9005},
     title = {Iteratively reweighted minimax-concave penalty minimization for accurate low-rank plus sparse matrix decomposition},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WJVC3Jt7v1AC},
     volume = {44},
     year = {2021}
   }

3. arXiv 21

   DuRIN: A deep-unfolded sparse seismic reflectivity inversion network

   S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula

   arXiv preprint arXiv:2104.04704, 2021

   BIB URL

   @article{mache2021durin,
     author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2104.04704},
     title = {DuRIN: A deep-unfolded sparse seismic reflectivity inversion network},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HtEfBTGE9r8C},
     year = {2021}
   }

4. arXiv 21

   Time encoding of finite-rate-of-innovation signals

   A. J. Kamath, S. Rudresh, and C. S. Seelamantula

   arXiv preprint arXiv:2107.03344, 2021

   BIB URL

   @article{kamath2021time,
     author = {Kamath, A. J. and Rudresh, S. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2107.03344},
     title = {Time encoding of finite-rate-of-innovation signals},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:DUooU5lO8OsC},
     year = {2021}
   }

5. 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

   arXiv preprint arXiv:2105.00003, 2021

   BIB URL

   @article{mache2021nuspan,
     author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2105.00003},
     title = {NuSPAN: A Proximal Average Network for Nonuniform Sparse Model--Application to Seismic Reflectivity Inversion},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:a9-T7VOCCH8C},
     year = {2021}
   }

6. 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

   BIB URL

   @inproceedings{killedar2021sparsity,
     author = {Killedar, V. and Pokala, P. K. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Sparsity driven latent space sampling for generative prior based compressive sensing},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4hFrxpcac9AC},
     year = {2021}
   }

7. arXiv 21

   Learning generative prior with latent space sparsity constraints

   V. Killedar, P. K. Pokala, and C. S. Seelamantula

   arXiv preprint arXiv:2105.11956, 2021

   BIB URL

   @article{killedar2021learning,
     author = {Killedar, V. and Pokala, P. K. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2105.11956},
     title = {Learning generative prior with latent space sparsity constraints},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:umqufdRvDiIC},
     year = {2021}
   }

8. arXiv 21

   Image denoising in FPGA using generic risk estimation

   R. Varghese, C. Seelamantula, A. Gupta, and D. Dhar

   arXiv preprint arXiv:2111.08297, 2021

   BIB URL

   @article{varghese2021image,
     author = {Varghese, R. and Seelamantula, C. and Gupta, A. and Dhar, D.},
     journal = {arXiv preprint arXiv:2111.08297},
     title = {Image denoising in FPGA using generic risk estimation},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bKqednn6t2AC},
     year = {2021}
   }

9. arXiv 21

   Quantized proximal averaging network for analysis sparse coding

   K. K. R. Nareddy, M. M. Bulusu, P. K. Pokala, and C. S. Seelamantula

   arXiv preprint arXiv:2105.06211, 2021

   BIB URL

   @article{nareddy2021quantized_proximal,
     author = {Nareddy, K. K. R. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2105.06211},
     title = {Quantized proximal averaging network for analysis sparse coding},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XvxMoLDsR5gC},
     year = {2021}
   }

10. AGU 21

    Explainable Deep Neural Networks for Seismic Reflectivity Inversion

    S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula

    In AGU Fall Meeting Abstracts, 2021

    BIB URL

    @inproceedings{mache2021explainable,
      author = {Mache, S. and Pokala, P. K. and Rajendran, K. and Seelamantula, C. S.},
      booktitle = {AGU Fall Meeting Abstracts},
      pages = {S15F-0312},
      title = {Explainable Deep Neural Networks for Seismic Reflectivity Inversion},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:IRz6iEL74y4C},
      volume = {2021},
      year = {2021}
    }

11. arXiv 21

    Wavelet Design in a Learning Framework

    D. Jawali , A. Kumar, and C. S. Seelamantula

    arXiv preprint arXiv:2107.11225, 2021

    BIB URL

    @article{jawali2021wavelet,
      author = {Jawali, D. and Kumar, A. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:2107.11225},
      title = {Wavelet Design in a Learning Framework},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:6ZxmRoH8BuwC},
      year = {2021}
    }

2020

1. 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

   BIB URL

   @inproceedings{rudresh2020time,
     author = {Rudresh, S. and Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {A time-based sampling framework for finite-rate-of-innovation signals},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:edDO8Oi4QzsC},
     year = {2020}
   }

2. IEEE SPL 20

   Neuromorphic fringe projection profilometry

   A. R. Mangalore, C. S. Seelamantula, and C. S. Thakur

   IEEE Signal Processing Letters, 2020

   BIB URL

   @article{mangalore2020neuromorphic,
     author = {Mangalore, A. R. and Seelamantula, C. S. and Thakur, C. S.},
     journal = {IEEE Signal Processing Letters},
     pages = {1510--1514},
     title = {Neuromorphic fringe projection profilometry},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bz8QjSJIRt4C},
     volume = {27},
     year = {2020}
   }

3. NeurIPS 20

   Teaching a gan what not to learn

   S. Asokan, and C. Seelamantula

   Advances in Neural Information Processing Systems, 2020

   BIB URL

   @article{asokan2020teaching,
     author = {Asokan, S. and Seelamantula, C.},
     journal = {Advances in Neural Information Processing Systems},
     pages = {3964--3975},
     title = {Teaching a gan what not to learn},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LO7wyVUgiFcC},
     volume = {33},
     year = {2020}
   }

4. 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

   Ultrasonics, 2020

   BIB URL

   @article{shastri2020axial,
     author = {Shastri, S. K. and Rudresh, S. and Anand, R. and Nagesh, S. and Seelamantula, C. S. and Thittai, A. K.},
     journal = {Ultrasonics},
     pages = {106183},
     title = {Axial super-resolution in ultrasound imaging with application to non-destructive evaluation},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:YohjEiUPhakC},
     volume = {108},
     year = {2020}
   }

5. 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

   BIB URL

   @inproceedings{raj2020automatic,
     author = {Raj, P. K. and Manjunath, A. and Kumar, J. R. H. and Seelamantula, C. S.},
     booktitle = {IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
     pages = {1262--1265},
     title = {Automatic classification of artery/vein from single wavelength fundus images},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:PVjk1bu6vJQC},
     year = {2020}
   }

6. 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

   BIB URL

   @inproceedings{paul2020fully,
     author = {Paul, S. and Gundabattula, H. D. and Seelamantula, C. S. and Mujeeb, V. R. and Prasad, A. S.},
     booktitle = {IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
     pages = {221--224},
     title = {Fully-automated semantic segmentation of wireless capsule endoscopy abnormalities},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5qfkUJPXOUwC},
     year = {2020}
   }

7. Speech Commun. 20

   Speech enhancement using a risk estimation approach

   J. Sadasivan, C. S. Seelamantula, and N. R. Muraka

   Speech Communication, 2020

   BIB URL

   @article{sadasivan2020speech,
     author = {Sadasivan, J. and Seelamantula, C. S. and Muraka, N. R.},
     journal = {Speech Communication},
     pages = {12--29},
     title = {Speech enhancement using a risk estimation approach},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ruyezt5ZtCIC},
     volume = {116},
     year = {2020}
   }

8. 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

   BIB URL

   @inproceedings{pokala2020accelerated,
     author = {Pokala, P. K. and Seelamantula, C. S.},
     booktitle = {International Conference on Signal Processing and Communications (SPCOM)},
     title = {Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ri6SYOTghG4C},
     year = {2020}
   }

9. 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

   BIB URL

   @inproceedings{pokala2020confirmnet,
     author = {Pokala, P. K. and Uttam, P. K. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {ConFirmNet: Convolutional FirmNet and application to image denoising and inpainting},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:0N-VGjzr574C},
     year = {2020}
   }

10. arXiv 20

    Robust segmentation of optic disc and cup from fundus images using deep neural networks

    A. Manjunath, S. Jois, and C. S. Seelamantula

    arXiv preprint arXiv:2012.07128, 2020

    BIB URL

    @article{manjunath2020robust,
      author = {Manjunath, A. and Jois, S. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:2012.07128},
      title = {Robust segmentation of optic disc and cup from fundus images using deep neural networks},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:anf4URPfarAC},
      year = {2020}
    }

11. 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

    BIB URL

    @inproceedings{jawali2020cornet,
      author = {Jawali, D. and Pokala, P. K. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      pages = {818--822},
      title = {CoRNet: Composite-regularized neural network for convolutional sparse coding},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FAceZFleit8C},
      year = {2020}
    }

12. 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

    Plos one, 2020

    BIB URL

    @article{kumar2020automatic,
      author = {Kumar, J. R. H. and Seelamantula, C. S. and Mohan, A. and Shetty, R. and Berendschot, T. J. M. and others},
      journal = {Plos one},
      number = {5},
      pages = {e0231677},
      title = {Automatic analysis of normative retinal oximetry images},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hCrLmN-GePgC},
      volume = {15},
      year = {2020}
    }

13. 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

    BIB URL

    @inproceedings{kishore2020wirtinger,
      author = {Kishore, V. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Wirtinger flow algorithms for phase retrieval from binary measurements},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ClCfbGk0d_YC},
      year = {2020}
    }

14. Speech Commun. 20

    Musical noise suppression using a low-rank and sparse matrix decomposition approach

    J. Sadasivan, J. K. Dhiman, and C. S. Seelamantula

    Speech Communication, 2020

    BIB URL

    @article{sadasivan2020musical,
      author = {Sadasivan, J. and Dhiman, J. K. and Seelamantula, C. S.},
      journal = {Speech Communication},
      pages = {41--52},
      title = {Musical noise suppression using a low-rank and sparse matrix decomposition approach},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4fGpz3EwCPoC},
      volume = {125},
      year = {2020}
    }

15. 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

    BIB URL

    @inproceedings{srinath2020nyquist,
      author = {Srinath, S. and Rudresh, S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      pages = {2965--2969},
      title = {Nyquist pulses for sub-Nyquist sampling—Application to underwater imaging},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8d8msizDQcsC},
      year = {2020}
    }

16. 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

    BIB URL

    @inproceedings{pokala2020projected,
      author = {Pokala, P. K. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      pages = {1043--1047},
      title = {Projected improved fista and application to image deblurring},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9pM33mqn1YgC},
      year = {2020}
    }

17. 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

    BIB URL

    @inproceedings{kishore2020phasesense,
      author = {Kishore, V. and Mukherjee, S. and Seelamantula, C. S.},
      booktitle = {International Conference on Signal Processing and Communications (SPCOM)},
      title = {PhaseSense—Signal Reconstruction from Phase-Only Measurements via Quadratic Programming},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kh2fBNsKQNwC},
      year = {2020}
    }

18. bioRxiv 20

    Digitization of electrocardiogram using bilateral filtering

    H. Sankar S, A. Patni, S. Mulleti, and C. S. Seelamantula

    bioRxiv, 2020

    BIB URL

    @article{sankar2020digitization,
      author = {Sankar S, H. and Patni, A. and Mulleti, S. and Seelamantula, C. S.},
      journal = {bioRxiv},
      title = {Digitization of electrocardiogram using bilateral filtering},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:rmuvC79q63oC},
      year = {2020}
    }

19. 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

    BIB URL

    @article{sadasivan2020signal,
      author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
      journal = {APSIPA Transactions on Signal and Information Processing},
      pages = {e3},
      title = {Signal denoising using the minimum-probability-of-error criterion},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Fu2w8maKXqMC},
      volume = {9},
      year = {2020}
    }

20. 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

    BIB URL

    @inproceedings{pokala2020adaptive,
      author = {Pokala, P. K. and Chemudupati, S. and Seelamantula, C. S.},
      booktitle = {IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
      pages = {1929--1932},
      title = {Adaptive weighted minimax-concave penalty based dictionary learning for brain MR images},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:86PQX7AUzd4C},
      year = {2020}
    }

21. 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

    BIB URL

    @inproceedings{pokala2020generalized,
      author = {Pokala, P. K. and Chemudupati, S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      pages = {2875--2879},
      title = {Generalized fast iteratively reweighted soft-thresholding algorithm for sparse coding under tight frames in the complex-domain},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_FM0Bhl9EiAC},
      year = {2020}
    }

22. 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

    BIB URL

    @inproceedings{kulkarni2020epoch,
      author = {Kulkarni, P. and Sadasivan, J. and Adiga, A. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FPJr55Dyh1AC},
      year = {2020}
    }

23. 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

    BIB URL

    @inproceedings{chemudupati2020non,
      author = {Chemudupati, S. and Pokala, P. K. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      pages = {2885--2889},
      title = {Non-Convex Optimization For Sparse Interferometric Phase Estimation},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:GtLg2Ama23sC},
      year = {2020}
    }

24. IEEE SPL 20

    Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging

    A. G. Mahurkar, and C. S. Seelamantula

    IEEE Signal Processing Letters, 2020

    BIB URL

    @article{mahurkar2020minkowski,
      author = {Mahurkar, A. G. and Seelamantula, C. S.},
      journal = {IEEE Signal Processing Letters},
      pages = {1060--1064},
      title = {Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_axFR9aDTf0C},
      volume = {27},
      year = {2020}
    }

2019

1. 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

   Scientific reports, 2019

   BIB URL

   @article{kumar2019rim,
     author = {Kumar, J. R. H. and Seelamantula, C. S. and Kamath, Y. S. and Jampala, R.},
     journal = {Scientific reports},
     number = {1},
     pages = {7099},
     title = {Rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WZBGuue-350C},
     volume = {9},
     year = {2019}
   }

2. 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

   BIB URL

   @inproceedings{sadasivan2019high,
     author = {Sadasivan, V. S. and Seelamantula, C. S.},
     booktitle = {IEEE 16th International Symposium on Biomedical Imaging (ISBI)},
     pages = {96--99},
     title = {High accuracy patch-level classification of wireless capsule endoscopy images using a convolutional neural network},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:i2xiXl-TujoC},
     year = {2019}
   }

3. 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

   BIB URL

   @inproceedings{mohan2019optic,
     author = {Mohan, D. and Kumar, J. R. H. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {834--838},
     title = {Optic disc segmentation using cascaded multiresolution convolutional neural networks},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:SpbeaW3--B0C},
     year = {2019}
   }

4. arXiv 19

   Unlimited dynamic range analog-to-digital conversion

   A. Krishna, S. Rudresh, V. Shaw, H. R. Sabbella, C. S. Seelamantula, and  others

   arXiv preprint arXiv:1911.09371, 2019

   BIB URL

   @article{krishna2019unlimited,
     author = {Krishna, A. and Rudresh, S. and Shaw, V. and Sabbella, H. R. and Seelamantula, C. S. and others},
     journal = {arXiv preprint arXiv:1911.09371},
     title = {Unlimited dynamic range analog-to-digital conversion},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XoXfffV-tXoC},
     year = {2019}
   }

5. 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

   BIB URL

   @inproceedings{pokala2019firmnet,
     author = {Pokala, P. K. and Mahurkar, A. G. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {FirmNet: A sparsity amplified deep network for solving linear inverse problems},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LI9QrySNdTsC},
     year = {2019}
   }

6. 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

   BIB URL

   @inproceedings{jawali2019learning,
     author = {Jawali, D. and Kumar, A. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {A learning approach for wavelet design},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kz9GbA2Ns4gC},
     year = {2019}
   }

7. 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

   BIB URL

   @inproceedings{raj2019structure,
     author = {Raj, P. K. and Kumar, J. R. H. and Jois, S. and Harsha, S. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {829--833},
     title = {A structure tensor based Voronoi decomposition technique for optic cup segmentation},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:PoWvk5oyLR8C},
     year = {2019}
   }

8. 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

   BIB URL

   @inproceedings{dey2019automatic,
     author = {Dey, S. and Tahiliani, K. and Kumar, J. R. H. and Pediredla, A. K. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Automatic segmentation of optic disc using affine snakes in gradient vector field},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:lmc2jWPfTJgC},
     year = {2019}
   }

9. 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

   BIB URL

   @inproceedings{kumar2019automatic,
     author = {Kumar, J. R. H. and Teotia, K. and Raj, P. K. and Andrade, J. and Rajagopal, K. V. and others},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Automatic segmentation of common carotid artery in longitudinal mode ultrasound images using active oblongs},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:k8Z6L05lTy4C},
     year = {2019}
   }

10. 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

    BIB URL

    @inproceedings{gupta2019portable,
      author = {Gupta, S. K. and Kumar, K. and Seelamantula, C. S. and Thakur, C. S.},
      booktitle = {41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
      title = {A portable ultrasound imaging system utilizing deep generative learning-based compressive sensing on pre-beamformed RF signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:HbR8gkJAVGIC},
      year = {2019}
    }

11. 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

    BIB URL

    @inproceedings{kamath2019fri,
      author = {Kamath, A. J. and Rudresh, S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {FRI Modelling of Fourier Descriptors},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:M7yex6snE4oC},
      year = {2019}
    }

12. 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

    BIB URL

    @inproceedings{mahurkar2019samir,
      author = {Mahurkar, A. G. and Pokala, P. K. and Thakur, C. S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {SAMIR: Sparsity amplified iteratively-reweighted beamforming for high-resolution ultrasound imaging},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:MLfJN-KU85MC},
      year = {2019}
    }

13. 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

    BIB URL

    @inproceedings{dhiman2019spectro,
      author = {Dhiman, J. K. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VaXvl8Fpj5cC},
      year = {2019}
    }

14. 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

    BIB URL

    @inproceedings{mahurkar2019iteratively,
      author = {Mahurkar, A. G. and Pokala, P. and Seelamantula, C. S.},
      booktitle = {IEEE 16th International Symposium on Biomedical Imaging (ISBI)},
      title = {Iteratively-reweighted beamforming for high-resolution ultrasound imaging},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:S16KYo8Pm5AC},
      year = {2019}
    }

15. 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

    BIB URL

    @inproceedings{shastri2019axial,
      author = {Shastri, S. K. and Rudresh, S. and Anand, R. and Nagesh, S. and Mazumder, D. and Thittai, A. K. and others},
      booktitle = {IEEE International Ultrasonics Symposium (IUS)},
      pages = {639--642},
      title = {Axial Super-Resolution in Ultrasound Imaging},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ug5p-4gJ2f0C},
      year = {2019}
    }

16. arXiv 19

    Generalized Design of Sampling Kernels for 2-D FRI Signals

    S. K. Shastri, S. Rudresh, and C. S. Seelamantula

    arXiv preprint arXiv:1902.02732, 2019

    BIB URL

    @article{shastri2019generalized,
      author = {Shastri, S. K. and Rudresh, S. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:1902.02732},
      title = {Generalized Design of Sampling Kernels for 2-D FRI Signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:gsN89kCJA0AC},
      year = {2019}
    }

17. INTERSPEECH 19

    On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis

    J. K. Dhiman , N. Adiga, and C. S. Seelamantula

    In INTERSPEECH, 2019

    BIB URL

    @inproceedings{dhiman2019suitability,
      author = {Dhiman, J. K. and Adiga, N. and Seelamantula, C. S.},
      booktitle = {INTERSPEECH},
      pages = {944--948},
      title = {On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Dip1O2bNi0gC},
      year = {2019}
    }

2018

1. 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

   BIB URL

   @inproceedings{rudresh2018wavelet,
     author = {Rudresh, S. and Adiga, A. and Shenoy, B. A. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Wavelet-based reconstruction for unlimited sampling},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ML0RJ9NH7IQC},
     year = {2018}
   }

2. 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

   BIB URL

   @article{sundar2018tdoa,
     author = {Sundar, H. and Sreenivas, T. V. and Seelamantula, C. S.},
     journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
     number = {11},
     pages = {1976--1990},
     title = {TDOA-based multiple acoustic source localization without association ambiguity},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BwyfMAYsbu0C},
     volume = {26},
     year = {2018}
   }

3. 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

   BIB URL

   @inproceedings{mohan2018high,
     author = {Mohan, D. and Kumar, J. R. H. and Seelamantula, C. S.},
     booktitle = {25th IEEE international conference on image processing (ICIP)},
     pages = {4038--4042},
     title = {High-performance optic disc segmentation using convolutional neural networks},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:vbGhcppDl1QC},
     year = {2018}
   }

4. 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

   arXiv preprint arXiv:1801.06492, 2018

   BIB URL

   @article{rudresh2018epoch,
     author = {Rudresh, S. and Vasisht, A. and Vijayan, K. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:1801.06492},
     title = {Epoch-synchronous overlap-add (ESOLA) for time-and pitch-scale modification of speech signals},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:uWiczbcajpAC},
     year = {2018}
   }

5. J. Neurophysiol. 18

   Duration analysis using matching pursuit algorithm reveals longer bouts of gamma rhythm

   S. Chandran KS, C. S. Seelamantula, and S. Ray

   Journal of neurophysiology, 2018

   BIB URL

   @article{chandran2018duration,
     author = {Chandran KS, S. and Seelamantula, C. S. and Ray, S.},
     journal = {Journal of neurophysiology},
     number = {3},
     pages = {808--821},
     title = {Duration analysis using matching pursuit algorithm reveals longer bouts of gamma rhythm},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Z5m8FVwuT1cC},
     volume = {119},
     year = {2018}
   }

6. IEEE TSP 18

   Asymmetric pulse modeling for FRI sampling

   S. Rudresh, S. Nagesh, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2018

   BIB URL

   @article{rudresh2018asymmetric,
     author = {Rudresh, S. and Nagesh, S. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     number = {8},
     pages = {2027--2040},
     title = {Asymmetric pulse modeling for FRI sampling},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BUYA1_V_uYcC},
     volume = {66},
     year = {2018}
   }

7. IEEE SPL 18

   Phase retrieval from binary measurements

   S. Mukherjee, and C. S. Seelamantula

   IEEE Signal Processing Letters, 2018

   BIB URL

   @article{mukherjee2018phase,
     author = {Mukherjee, S. and Seelamantula, C. S.},
     journal = {IEEE Signal Processing Letters},
     number = {3},
     pages = {348--352},
     title = {Phase retrieval from binary measurements},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:z_wVstp3MssC},
     volume = {25},
     year = {2018}
   }

8. IEEE TSP 18

   On two-dimensional Hilbert integral equations, generalized minimum-phase signals, and phase retrieval

   B. A. Shenoy, S. Mulleti, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2018

   BIB URL

   @article{shenoy2018two,
     author = {Shenoy, B. A. and Mulleti, S. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     number = {14},
     pages = {3906--3917},
     title = {On two-dimensional Hilbert integral equations, generalized minimum-phase signals, and phase retrieval},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4MWp96NkSFoC},
     volume = {66},
     year = {2018}
   }

9. 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

   BIB URL

   @inproceedings{sridhar2018unconstrained,
     author = {Sridhar, H. and Kumar, J. R. H. and Jois, S. and Seelamantula, C. S.},
     booktitle = {IEEE Global Conference on Signal and Information Processing (GlobalSIP)},
     title = {An unconstrained ellipse fitting technique and application to optic cup segmentation},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:TIZ-Mc8IlK0C},
     year = {2018}
   }

10. 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

    BIB URL

    @inproceedings{kumar2018automatic_lumen,
      author = {Kumar, J. R. H. and Seelamantula, C. S. and Andrade, J. and Rajagopal, K. V.},
      booktitle = {25th IEEE International Conference on Image Processing (ICIP)},
      pages = {3493--3497},
      title = {Automatic segmentation of lumen intima layer in transverse mode ultrasound images},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:p__nRnzSRKYC},
      year = {2018}
    }

11. 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

    BIB URL

    @inproceedings{mukherjee2018phasesplit,
      author = {Mukherjee, S. and Shit, S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Phasesplit: A variable splitting framework for phase retrieval},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:g3aElNc5_aQC},
      year = {2018}
    }

12. INTERSPEECH 18

    Speech Enhancement Using the Minimum-probability-of-error Criterion

    J. Sadasivan, S. Mukherjee, and C. S. Seelamantula

    In INTERSPEECH, 2018

    BIB URL

    @inproceedings{sadasivan2018speech,
      author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
      booktitle = {INTERSPEECH},
      pages = {1141--1145},
      title = {Speech Enhancement Using the Minimum-probability-of-error Criterion},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:EYYDruWGBe4C},
      year = {2018}
    }

13. 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

    BIB URL

    @inproceedings{sainathan2018phase,
      author = {Sainathan, A. and Seelamantula, C. S.},
      booktitle = {Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},
      title = {Phase Retrieval–A Deconvolution Perspective},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tuHXwOkdijsC},
      year = {2018}
    }

14. 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

    BIB URL

    @inproceedings{de2018design,
      author = {De, A. and Seelamantula, C. S.},
      booktitle = {25th IEEE International Conference on Image Processing (ICIP)},
      pages = {1443--1447},
      title = {Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hMsQuOkrut0C},
      year = {2018}
    }

15. 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

    BIB URL

    @inproceedings{mukherjee2018binary,
      author = {Mukherjee, S. and Sekuboyina, A. K. and Seelamantula, C. S.},
      booktitle = {International Conference on Signal Processing and Communications (SPCOM)},
      title = {Binary compressive sensing and super-resolution with unknown threshold},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:-FonjvnnhkoC},
      year = {2018}
    }

16. 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

    BIB URL

    @inproceedings{mukherjee2018singular,
      author = {Mukherjee, S. and Seelamantula, C. S.},
      booktitle = {International Conference on Signal Processing and Communications (SPCOM)},
      title = {A singular value relaxation technique for learning sparsifying transforms},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:e_rmSamDkqQC},
      year = {2018}
    }

17. INTERSPEECH 18

    Multicomponent 2-D AM-FM Modeling of Speech Spectrograms

    J. K. Dhiman, N. Sharma, and C. S. Seelamantula

    In INTERSPEECH, 2018

    BIB URL

    @inproceedings{dhiman2018multicomponent,
      author = {Dhiman, J. K. and Sharma, N. and Seelamantula, C. S.},
      booktitle = {INTERSPEECH},
      pages = {736--740},
      title = {Multicomponent 2-D AM-FM Modeling of Speech Spectrograms},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ILKRHgRFtOwC},
      year = {2018}
    }

18. INTERSPEECH 18

    An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms

    A. Sainathan, S. Rudresh, and C. S. Seelamantula

    In INTERSPEECH, 2018

    BIB URL

    @inproceedings{sainathan2018optimization,
      author = {Sainathan, A. and Rudresh, S. and Seelamantula, C. S.},
      booktitle = {INTERSPEECH},
      pages = {741--745},
      title = {An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:L7CI7m0gUJcC},
      year = {2018}
    }

2017

1. 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

   BIB URL

   @inproceedings{sekuboyina2017convolutional,
     author = {Sekuboyina, A. K. and Devarakonda, S. T. and Seelamantula, C. S.},
     booktitle = {IEEE 14th international symposium on biomedical imaging (ISBI)},
     title = {A convolutional neural network approach for abnormality detection in wireless capsule endoscopy},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_Re3VWB3Y0AC},
     year = {2017}
   }

2. IEEE TSP 17

   Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling

   S. Mulleti, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2017

   BIB URL

   @article{mulleti2017paley,
     author = {Mulleti, S. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     number = {22},
     pages = {5860--5872},
     title = {Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:t7zJ5fGR-2UC},
     volume = {65},
     year = {2017}
   }

3. IEEE TSP 17

   Finite-rate-of-innovation-sampling-based super-resolution radar imaging

   S. Rudresh, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2017

   BIB URL

   @article{rudresh2017finite,
     author = {Rudresh, S. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     number = {19},
     pages = {5021--5033},
     title = {Finite-rate-of-innovation-sampling-based super-resolution radar imaging},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VLnqNzywnoUC},
     volume = {65},
     year = {2017}
   }

4. IEEE SPL 17

   Training-free, single-image super-resolution using a dynamic convolutional network

   A. Bhowmik, S. Shit, and C. S. Seelamantula

   IEEE signal processing letters, 2017

   BIB URL

   @article{bhowmik2017training,
     author = {Bhowmik, A. and Shit, S. and Seelamantula, C. S.},
     journal = {IEEE signal processing letters},
     number = {1},
     pages = {85--89},
     title = {Training-free, single-image super-resolution using a dynamic convolutional network},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:0KyAp5RtaNEC},
     volume = {25},
     year = {2017}
   }

5. arXiv 17

   Deep sparse coding using optimized linear expansion of thresholds

   D. Mahapatra, S. Mukherjee, and C. S. Seelamantula

   arXiv preprint arXiv:1705.07290, 2017

   BIB URL

   @article{mahapatra2017deep,
     author = {Mahapatra, D. and Mukherjee, S. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:1705.07290},
     title = {Deep sparse coding using optimized linear expansion of thresholds},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZfRJV9d4-WMC},
     year = {2017}
   }

6. 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

   Scientific reports, 2017

   BIB URL

   @article{mulleti2017super,
     author = {Mulleti, S. and Singh, A. and Brahmkhatri, V. P. and Chandra, K. and Raza, T. and Mukherjee, S. P. and others},
     journal = {Scientific reports},
     number = {1},
     pages = {9651},
     title = {Super-resolved nuclear magnetic resonance spectroscopy},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9Nmd_mFXekcC},
     volume = {7},
     year = {2017}
   }

7. 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

   BIB URL

   @article{chaturvedi2017efficient,
     author = {Chaturvedi, A. and Nagaraj, S. K. and Gorthi, S. S. and Seelamantula, C. S.},
     journal = {SLAS TECHNOLOGY: Translating Life Sciences Innovation},
     number = {5},
     pages = {565--572},
     title = {An efficient microscale technique for determining the erythrocyte sedimentation rate},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:7T2F9Uy0os0C},
     volume = {22},
     year = {2017}
   }

8. INTERSPEECH 17

   A Spectro-Temporal Demodulation Technique for Pitch Estimation

   J. K. Dhiman , N. Adiga, and C. S. Seelamantula

   In INTERSPEECH, 2017

   BIB URL

   @inproceedings{dhiman2017spectro,
     author = {Dhiman, J. K. and Adiga, N. and Seelamantula, C. S.},
     booktitle = {INTERSPEECH},
     pages = {2306--2310},
     title = {A Spectro-Temporal Demodulation Technique for Pitch Estimation},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yB1At4FlUx8C},
     year = {2017}
   }

9. 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

   In IEEE Region 10 Conference (TENCON), 2017

   BIB URL

   @inproceedings{kumar2017automatic,
     author = {Kumar, J. R. H. and Harsha, S. and Kamath, Y. and Jampala, R. and Seelamantula, C. S.},
     booktitle = {IEEE Region 10 Conference (TENCON)},
     pages = {25--30},
     title = {Automatic optic cup segmentation using K{\aa}sa's circle fitting technique},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:epqYDVWIO7EC},
     year = {2017}
   }

10. NeurIPS-W 17

    DNNs for sparse coding and dictionary learning

    S. Mukherjee, D. Mahapatra, and C. S. Seelamantula

    In NIPS Bayesian Deep Learning Workshop, 2017

    BIB URL

    @inproceedings{mukherjee2017dnns,
      author = {Mukherjee, S. and Mahapatra, D. and Seelamantula, C. S.},
      booktitle = {NIPS Bayesian Deep Learning Workshop},
      title = {DNNs for sparse coding and dictionary learning},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:uc_IGeMz5qoC},
      year = {2017}
    }

11. INTERSPEECH 17

    Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals

    K. Vijayan, J. K. Dhiman, and C. S. Seelamantula

    In Interspeech, 2017

    BIB URL

    @inproceedings{vijayan2017time,
      author = {Vijayan, K. and Dhiman, J. K. and Seelamantula, C. S.},
      booktitle = {Interspeech},
      pages = {329--333},
      title = {Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nrtMV_XWKgEC},
      year = {2017}
    }

12. 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

    BIB URL

    @inproceedings{kumar2017automatic_macular,
      author = {Kumar, J. R. H. and Adhikari, R. and Kamath, Y. and Jampala, R. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      pages = {1362--1366},
      title = {Automatic delineation of macular regions based on a locally defined contrast function},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:AvfA0Oy_GE0C},
      year = {2017}
    }

13. 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

    BIB URL

    @inproceedings{bansal2017adaptive,
      author = {Bansal, S. and Ghosh, A. and Seelamantula, C. S. and Gurrala, G. and Ghosh, P. K.},
      booktitle = {IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)},
      pages = {1--6},
      title = {Adaptive frequency estimation using iterative DESA with RDFT-based filter},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:URolC5Kub84C},
      year = {2017}
    }

14. 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

    BIB URL

    @inproceedings{bhowmik2017bayesian,
      author = {Bhowmik, A. and Adiga, A. and Seelamantula, C. and Hauser, F. and Jacak, J. and Heise, B.},
      booktitle = {Proc. 2nd Neural Inf. Process. Syst. Workshop Bayesian Deep Learn},
      title = {Bayesian deep deconvolutional neural networks},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ipzZ9siozwsC},
      year = {2017}
    }

15. 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

    arXiv preprint arXiv:1706.09585, 2017

    BIB URL

    @article{mukherjee2017online,
      author = {Mukherjee, S. and Chen, H. and Veeraraghavan, A. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:1706.09585},
      title = {Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:j8SEvjWlNXcC},
      year = {2017}
    }

16. arXiv 17

    PROSE: Perceptual Risk Optimization for Speech Enhancement

    J. Sadasivan, C. S. Seelamantula, and N. R. Muraka

    arXiv preprint arXiv:1710.03975, 2017

    BIB URL

    @article{sadasivan2017prose,
      author = {Sadasivan, J. and Seelamantula, C. S. and Muraka, N. R.},
      journal = {arXiv preprint arXiv:1710.03975},
      title = {PROSE: Perceptual Risk Optimization for Speech Enhancement},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tKAzc9rXhukC},
      year = {2017}
    }

17. arXiv 17

    A Non-Convex Optimization Technique for Sparse Blind Deconvolution–Initialization Aspects and Error Reduction Properties

    A. Adiga, and C. S. Seelamantula

    arXiv preprint arXiv:1708.07370, 2017

    BIB URL

    @article{adiga2017non,
      author = {Adiga, A. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:1708.07370},
      title = {A Non-Convex Optimization Technique for Sparse Blind Deconvolution--Initialization Aspects and Error Reduction Properties},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:b1wdh0AR-JQC},
      year = {2017}
    }

18. arXiv 17

    AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES

    A. Adiga, and C. S. Seelamantula

    arXiv preprint arXiv:1708.07370, 2017

    BIB URL

    @article{adiga2017alternating,
      author = {Adiga, A. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:1708.07370},
      title = {AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XD-gHx7UXLsC},
      year = {2017}
    }

2016

1. Signal Process. 16

   ℓ₁-K-SVD: A robust dictionary learning algorithm with simultaneous update

   S. Mukherjee, R. Basu, and C. S. Seelamantula

   Signal Processing, 2016

   BIB URL

   @article{mukherjee2016l1,
     author = {Mukherjee, S. and Basu, R. and Seelamantula, C. S.},
     journal = {Signal Processing},
     pages = {42--52},
     title = {ℓ₁-K-SVD: A robust dictionary learning algorithm with simultaneous update},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:D_sINldO8mEC},
     volume = {123},
     year = {2016}
   }

2. Innov. Comput. Sci. J. 16

   Digitization of Electrocardiogram Using Bilateral Filtering

   H. Sadasivan, A. Patni, S. Mulleti, and C. S. Seelamantula

   Innovative Computer Sciences Journal, 2016

   BIB URL

   @article{sadasivan2016digitization,
     author = {Sadasivan, H. and Patni, A. and Mulleti, S. and Seelamantula, C. S.},
     journal = {Innovative Computer Sciences Journal},
     number = {1},
     pages = {1--10},
     title = {Digitization of Electrocardiogram Using Bilateral Filtering},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:u-coK7KVo8oC},
     volume = {2},
     year = {2016}
   }

3. 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

   BIB URL

   @inproceedings{sadasivan2016joint,
     author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Joint dictionary training for bandwidth extension of speech signals},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bnK-pcrLprsC},
     year = {2016}
   }

4. 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

   BIB URL

   @inproceedings{kumar2016automatic,
     author = {Kumar, J. R. H. and Seelamantula, C. S. and Narayan, N. S. and Marziliano, P.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {389--393},
     title = {Automatic segmentation of common carotid artery in transverse mode ultrasound images},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_Ybze24A_UAC},
     year = {2016}
   }

5. 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

   BIB URL

   @inproceedings{arvind2016active,
     author = {Arvind, B. C. and Nagaraj, S. K. and Seelamantula, C. S. and Gorthi, S. S.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {3394--3398},
     title = {Active-disc-based Kalman filter technique for tracking of blood cells in microfluidic channels},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5awf1xo2G04C},
     year = {2016}
   }

6. IEEE TSP 16

   FRI sampling on structured nonuniform grids—Application to super-resolved optical imaging

   S. Mulleti , B. A. Shenoy, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2016

   BIB URL

   @article{mulleti2016fri,
     author = {Mulleti, S. and Shenoy, B. A. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     number = {15},
     pages = {3841--3853},
     title = {FRI sampling on structured nonuniform grids—Application to super-resolved optical imaging},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5ugPr518TE4C},
     volume = {64},
     year = {2016}
   }

7. Signal Process. 16

   A risk minimization framework for channel estimation in OFDM systems

   K. Upadhya, C. S. Seelamantula, and K. V. S. Hari

   Signal Processing, 2016

   BIB URL

   @article{upadhya2016risk,
     author = {Upadhya, K. and Seelamantula, C. S. and Hari, K. V. S.},
     journal = {Signal Processing},
     pages = {78--87},
     title = {A risk minimization framework for channel estimation in OFDM systems},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:cFHS6HbyZ2cC},
     volume = {128},
     year = {2016}
   }

8. NCC 16

   Convergence rate analysis of smoothed LASSO

   S. Mukherjee, and C. S. Seelamantula

   In Twenty second national conference on communication (NCC), 2016

   BIB URL

   @inproceedings{mukherjee2016convergence,
     author = {Mukherjee, S. and Seelamantula, C. S.},
     booktitle = {Twenty second national conference on communication (NCC)},
     pages = {1--6},
     title = {Convergence rate analysis of smoothed LASSO},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WqliGbK-hY8C},
     year = {2016}
   }

9. INTERSPEECH 16

   Phase-Encoded Speech Spectrograms

   C. S. Seelamantula

   In INTERSPEECH, 2016

   BIB URL

   @inproceedings{seelamantula2016phase,
     author = {Seelamantula, C. S.},
     booktitle = {INTERSPEECH},
     pages = {1775--1779},
     title = {Phase-Encoded Speech Spectrograms},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:N5tVd3kTz84C},
     year = {2016}
   }

10. Sādhanā 16

    Optimum short-time polynomial regression for signal analysis

    A. S. Murthy, C. S. Seelamantula, and T. V. Sreenivas

    Sādhanā, 2016

    BIB URL

    @article{murthy2016optimum,
      author = {Murthy, A. S. and Seelamantula, C. S. and Sreenivas, T. V.},
      journal = {Sādhanā},
      pages = {1245--1260},
      title = {Optimum short-time polynomial regression for signal analysis},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:PR6Y55bgFSsC},
      volume = {41},
      year = {2016}
    }

11. 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

    BIB URL

    @inproceedings{mukherjee2016divide,
      author = {Mukherjee, S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {A divide-and-conquer dictionary learning algorithm and its performance analysis},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XiVPGOgt02cC},
      year = {2016}
    }

12. 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

    BIB URL

    @inproceedings{sekuboyina2016efficient,
      author = {Sekuboyina, A. K. and Seelamantula, C. S.},
      booktitle = {Twenty Second National Conference on Communication (NCC)},
      pages = {1--6},
      title = {An efficient formulation and parameter selection for multiple image super-resolution},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VL0QpB8kHFEC},
      year = {2016}
    }

13. 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

    BIB URL

    @inproceedings{subramanian2016distribution,
      author = {Subramanian, B. K. and Gupta, A. and Seelamantula, C. S.},
      booktitle = {Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},
      title = {A distribution-independent risk estimator for image denoising},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dQ2og3OwTAUC},
      year = {2016}
    }

14. 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

    BIB URL

    @inproceedings{sadasivan2016unbiased,
      author = {Sadasivan, J. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {An unbiased risk estimator for Gaussian mixture noise distributions—Application to speech denoising},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:olpn-zPbct0C},
      year = {2016}
    }

15. 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

    BIB URL

    @inproceedings{mulleti2016sampling,
      author = {Mulleti, S. and Seelamantula, C. S.},
      booktitle = {Twenty Second National Conference on Communication (NCC)},
      pages = {1--6},
      title = {Sampling and reconstruction of time-limited signals using sum-of-sincs kernel},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ye4kPcJQO24C},
      year = {2016}
    }

16. 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

    BIB URL

    @inproceedings{sreedevi2016efficient,
      author = {Sreedevi, G. and Narayanamurthy, P. K. and Seelamantula, C. S.},
      booktitle = {Twenty Second National Conference on Communication (NCC)},
      pages = {1--5},
      title = {Efficient resampling of speech/audio signals in shift-invariant spaces},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LjlpjdlvIbIC},
      year = {2016}
    }

17. INTERSPEECH 16

    A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions

    J. Sadasivan, and C. S. Seelamantula

    In INTERSPEECH, 2016

    BIB URL

    @inproceedings{sadasivan2016novel,
      author = {Sadasivan, J. and Seelamantula, C. S.},
      booktitle = {INTERSPEECH},
      pages = {3718--3722},
      title = {A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZuybSZzF8UAC},
      year = {2016}
    }

18. 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

    BIB URL

    @inproceedings{gubbi2016how,
      author = {Gubbi, S. V. and Gupta, A. and Seelamantula, C. S.},
      booktitle = {Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},
      title = {How much can a Gaussian smoother denoise?},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hkOj_22Ku90C},
      year = {2016}
    }

19. arXiv 16

    Super-Resolution From Binary Measurements With Unknown Threshold

    S. Mukherjee, A. K. Sekuboyina, and C. S. Seelamantula

    arXiv preprint arXiv:1606.03472, 2016

    BIB URL

    @article{mukherjee2016super,
      author = {Mukherjee, S. and Sekuboyina, A. K. and Seelamantula, C. S.},
      journal = {arXiv preprint arXiv:1606.03472},
      title = {Super-Resolution From Binary Measurements With Unknown Threshold},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:t6usbXjVLHcC},
      year = {2016}
    }

20. 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

    In Proc. Interspeech, 2016

    BIB URL

    @inproceedings{sundar2016reverberation,
      author = {Sundar, H. and Deepak, M. G. and Sreenivas, T. V. and Seelamantula, C. S.},
      booktitle = {Proc. Interspeech},
      pages = {3364--3368},
      title = {Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:1yQoGdGgb4wC},
      volume = {2016},
      year = {2016}
    }

2015

1. IEEE TIP 15

   Ellipse fitting using the finite rate of innovation sampling principle

   S. Mulleti, and C. S. Seelamantula

   IEEE Transactions on Image Processing, 2015

   BIB URL

   @article{mulleti2015ellipse,
     author = {Mulleti, S. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Image Processing},
     number = {3},
     pages = {1451--1464},
     title = {Ellipse fitting using the finite rate of innovation sampling principle},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:eflP2zaiRacC},
     volume = {25},
     year = {2015}
   }

2. 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

   BIB URL

   @inproceedings{kumar2015active,
     author = {Kumar, J. R. H. and Pediredla, A. K. and Seelamantula, C. S.},
     booktitle = {IEEE global conference on signal and information processing (GlobalSIP)},
     title = {Active discs for automated optic disc segmentation},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:V3AGJWp-ZtQC},
     year = {2015}
   }

3. IEEE TSP 15

   Exact phase retrieval in principal shift-invariant spaces

   B. A. Shenoy, S. Mulleti, and C. S. Seelamantula

   IEEE Transactions on Signal Processing, 2015

   BIB URL

   @article{shenoy2015exact,
     author = {Shenoy, B. A. and Mulleti, S. and Seelamantula, C. S.},
     journal = {IEEE Transactions on Signal Processing},
     number = {2},
     pages = {406--416},
     title = {Exact phase retrieval in principal shift-invariant spaces},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VOx2b1Wkg3QC},
     volume = {64},
     year = {2015}
   }

4. IEEE TSP 15

   Spectral zero-crossings: Localization properties and applications

   R. R. Shenoy, and C. S. Seelamantula

   IEEE transactions on signal processing, 2015

   BIB URL

   @article{shenoy2015spectral,
     author = {Shenoy, R. R. and Seelamantula, C. S.},
     journal = {IEEE transactions on signal processing},
     number = {12},
     pages = {3177--3190},
     title = {Spectral zero-crossings: Localization properties and applications},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tOudhMTPpwUC},
     volume = {63},
     year = {2015}
   }

5. 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

   BIB URL

   @article{aragonda2015demodulation,
     author = {Aragonda, H. and Seelamantula, C. S.},
     journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
     number = {11},
     pages = {2017--2028},
     title = {Demodulation of narrowband speech spectrograms using the Riesz transform},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:B3FOqHPlNUQC},
     volume = {23},
     year = {2015}
   }

6. ICIP 15

   Image denoising in multiplicative noise

   C. S. Seelamantula, and T. Blu

   In IEEE International Conference on Image Processing (ICIP), 2015

   BIB URL

   @inproceedings{seelamantula2015image,
     author = {Seelamantula, C. S. and Blu, T.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {1528--1532},
     title = {Image denoising in multiplicative noise},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:sSrBHYA8nusC},
     year = {2015}
   }

7. 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

   BIB URL

   @inproceedings{nagesh2015fri,
     author = {Nagesh, S. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {FRI sampling and reconstruction of asymmetric pulses},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:geHnlv5EZngC},
     year = {2015}
   }

8. J. Electron. Imaging 15

   Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise

   H. Kishan, and C. S. Seelamantula

   Journal of Electronic imaging, 2015

   BIB URL

   @article{kishan2015patch,
     author = {Kishan, H. and Seelamantula, C. S.},
     journal = {Journal of Electronic imaging},
     number = {5},
     pages = {053021},
     title = {Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:fQNAKQ3IYiAC},
     volume = {24},
     year = {2015}
   }

9. IEEE SPL 15

   A zero-crossing rate property of power complementary analysis filterbank outputs

   R. R. Shenoy, and C. S. Seelamantula

   IEEE signal processing letters, 2015

   BIB URL

   @article{shenoy2015zero,
     author = {Shenoy, R. R. and Seelamantula, C. S.},
     journal = {IEEE signal processing letters},
     number = {12},
     pages = {2354--2358},
     title = {A zero-crossing rate property of power complementary analysis filterbank outputs},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LPZeul_q3PIC},
     volume = {22},
     year = {2015}
   }

10. ICASSP 15

    Directional bilateral filters

    M. Venkatesh, and C. S. Seelamantula

    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015

    BIB URL

    @inproceedings{venkatesh2015directional,
      author = {Venkatesh, M. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Directional bilateral filters},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:yD5IFk8b50cC},
      year = {2015}
    }

11. AIP Adv. 15

    Directional bilateral filters for smoothing fluorescence microscopy images

    M. Venkatesh, K. Mohan, and C. S. Seelamantula

    AIP Advances, 2015

    BIB URL

    @article{venkatesh2015directional_smoothing,
      author = {Venkatesh, M. and Mohan, K. and Seelamantula, C. S.},
      journal = {AIP Advances},
      number = {8},
      title = {Directional bilateral filters for smoothing fluorescence microscopy images},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5Ul4iDaHHb8C},
      volume = {5},
      year = {2015}
    }

12. 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

    BIB URL

    @inproceedings{mulleti2015periodic,
      author = {Mulleti, S. and Seelamantula, C. S.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      title = {Periodic non-uniform sampling for FRI signals},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8AbLer7MMksC},
      year = {2015}
    }

13. 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

    BIB URL

    @incollection{seelamantula2015opera,
      author = {Seelamantula, C. S.},
      booktitle = {Sampling Theory, a Renaissance: Compressive Sensing and Other Developments},
      publisher = {Springer},
      title = {Opera: Operator-based annihilation for finite-rate-of-innovation signal sampling},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:eJXPG6dFmWUC},
      year = {2015}
    }

14. 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

    BIB URL

    @inproceedings{nagesh2015fri_model,
      author = {Nagesh, S. and Seelamantula, C. S.},
      booktitle = {Proc. Int. Conf. Sampling Theory Appl., Special Session Sampling Signals},
      title = {An FRI model for asymmetric pulse trains and characterization of ventricular hypertrophy condition},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:08ZZubdj9fEC},
      year = {2015}
    }

15. TENCON 15

    Dictionary-learning-based post-filter for HMM-based speech synthesis

    P. K. Narayanamurthy, and C. S. Seelamantula

    In IEEE Region 10 Conference (TENCON), 2015

    BIB URL

    @inproceedings{narayanamurthy2015dictionary,
      author = {Narayanamurthy, P. K. and Seelamantula, C. S.},
      booktitle = {IEEE Region 10 Conference (TENCON)},
      pages = {1--5},
      title = {Dictionary-learning-based post-filter for HMM-based speech synthesis},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BrmTIyaxlBUC},
      year = {2015}
    }

16. 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

    JOURNAL OF THROMBOSIS AND HAEMOSTASIS, 2015

    BIB URL

    @article{iyengar2015nuances,
      author = {Iyengar, S. and Ravibabu, R. and Lakshman, S. and Shenoy, A. and Sridhar, G. and Fulmali, M. and others},
      journal = {JOURNAL OF THROMBOSIS AND HAEMOSTASIS},
      pages = {639--639},
      title = {Nuances of NOAC'S in a developing country-a single center experience},
      url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kRWSkSYxWN8C},
      volume = {13},
      year = {2015}
    }