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ORCIDChandra Sekhar Seelamantula
S. Chandra Sekhar – Seelamantula Chandrasekhar
Person information
- affiliation: Indian Institute of Science, Department of Electrical Engineering, Bangalore
- affiliation (former): Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
[j49]Kartheek Kumar Reddy Nareddy
, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices. SIAM J. Imaging Sci. 17(3): 1587-1618 (2024)- [c117]Kartheek Kumar Reddy Nareddy, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors. ICASSP 2024: 2515-2519 - [c116]Abhishek Shreekant Bhandiwad, Abijith Jagannath Kamath, Siddarth Asokan, Chandra Sekhar Seelamantula:
Variational Analysis of Adversarial Regularization for Solving Inverse Problems. ICASSP 2024: 2525-2529 - [c115]Nishanth Shetty, Manikanta Bandla, Nishit Neema, Siddarth Asokan, Chandra Sekhar Seelamantula:
Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling. ICASSP 2024: 6635-6639 - [c114]Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
Neuromorphic Sensing Meets Unlimited Sampling. ICASSP 2024: 9731-9735 - 2023
- [j48]Siddarth Asokan, Chandra Sekhar Seelamantula:
Euler-Lagrange Analysis of Generative Adversarial Networks. J. Mach. Learn. Res. 24: 126:1-126:100 (2023) - [j47]Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula:
Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion. IEEE Trans. Computational Imaging 9: 475-489 (2023) - [c113]Siddarth Asokan, Chandra Sekhar Seelamantula:
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training. CVPR 2023: 3883-3893 - [c112]Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Quantized Proximal Averaging Networks for Compressed Image Recovery. CVPR Workshops 2023: 4633-4643 - [c111]Siddarth Asokan, Fatwir Sheikh Mohammed, Chandra Sekhar Seelamantula:
A Game of Snakes and Gans. ICASSP 2023: 1-5 - [c110]Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
Multichannel Time-Encoding of Finite-Rate-of-Innovation Signals. ICASSP 2023: 1-5 - [c109]Kartheek Kumar Reddy Nareddy, Vinayak Killedar, Chandra Sekhar Seelamantula:
Quantized Generative Models for Solving Inverse Problems. ICCV (Workshops) 2023: 1520-1525 - [i24]Siddarth Asokan, Chandra Sekhar Seelamantula:
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training. CoRR abs/2305.07613 (2023) - [i23]Siddarth Asokan, Chandra Sekhar Seelamantula:
Data Interpolants - That's What Discriminators in Higher-order Gradient-regularized GANs Are. CoRR abs/2306.00785 (2023) - [i22]Siddarth Asokan, Nishanth Shetty, Aadithya Srikanth, Chandra Sekhar Seelamantula:
GANs Settle Scores! CoRR abs/2306.01654 (2023) - 2022
- [j46]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Quantization-aware phase retrieval. Int. J. Wavelets Multiresolution Inf. Process. 20(3): 2040006:1-2040006:43 (2022) - [j45]Praveen Kumar Pokala, Raghu Vamshi Hemadri, Chandra Sekhar Seelamantula:
Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8992-9010 (2022) - [c108]Somanchi Hari Krishna, N. Vijayanand, Achanta Suneetha, S. Mahabub Basha, S. Chandra Sekhar, A. Saranya:
Artificial Intelligence Application for Effective Customer Relationship Management. IC3I 2022: 2019-2023 - [c107]Vinayak Killedar, Chandra Sekhar Seelamantula:
Compressive Phase Retrieval Based On Sparse Latent Generative Priors. ICASSP 2022: 1596-1600 - [c106]Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
Differentiate-and-Fire Time-Encoding of Finite-Rate-of-Innovation Signals. ICASSP 2022: 5637-5641 - [c105]Kartheek Kumar Reddy Nareddy, Swapnil Mache, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
An Ensemble of Proximal Networks for Sparse Coding. ICIP 2022: 1251-1255 - 2021
- [j44]Arlene John, Jishnu Sadasivan, Chandra Sekhar Seelamantula:
Adaptive Savitzky-Golay Filtering in Non-Gaussian Noise. IEEE Trans. Signal Process. 69: 5021-5036 (2021) - [c104]Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing. ICASSP 2021: 2895-2899 - [i21]Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula:
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network. CoRR abs/2104.04704 (2021) - [i20]Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula:
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model - Application to Seismic Reflectivity Inversion. CoRR abs/2105.00003 (2021) - [i19]Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Quantized Proximal Averaging Network for Analysis Sparse Coding. CoRR abs/2105.06211 (2021) - [i18]Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Learning Generative Prior with Latent Space Sparsity Constraints. CoRR abs/2105.11956 (2021) - [i17]Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula:
Wavelet Design in a Learning Framework. CoRR abs/2107.11225 (2021) - 2020
- [j43]Jishnu Sadasivan, Chandra Sekhar Seelamantula, Nagarjuna Reddy Muraka:
Speech Enhancement Using a Risk Estimation Approach. Speech Commun. 116: 12-29 (2020) - [j42]Jishnu Sadasivan, Jitendra Kumar Dhiman, Chandra Sekhar Seelamantula:
Musical noise suppression using a low-rank and sparse matrix decomposition approach. Speech Commun. 125: 41-52 (2020) - [j41]Amol G. Mahurkar, Chandra Sekhar Seelamantula:
Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging. IEEE Signal Process. Lett. 27: 1060-1064 (2020) - [j40]Ashish Rao Mangalore, Chandra Sekhar Seelamantula, Chetan Singh Thakur:
Neuromorphic Fringe Projection Profilometry. IEEE Signal Process. Lett. 27: 1510-1514 (2020) - [c103]Sunil Rudresh, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
A Time-Based Sampling Framework for Finite-Rate-of-Innovation Signals. ICASSP 2020: 5585-5589 - [c102]Vinith Kishore, Chandra Sekhar Seelamantula:
Wirtinger Flow Algorithms for Phase Retrieval from Binary Measurements. ICASSP 2020: 5750-5754 - [c101]Pavan Kulkarni, Jishnu Sadasivan, Aniruddha Adiga, Chandra Sekhar Seelamantula:
Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network. ICASSP 2020: 7364-7368 - [c100]Praveen Kumar Pokala, Prakash Kumar Uttam, Chandra Sekhar Seelamantula:
Confirmnet: Convolutional Firmnet and Application to Image Denoising and Inpainting. ICASSP 2020: 8663-8667 - [c99]Dhruv Jawali, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Cornet: Composite-Regularized Neural Network For Convolutional Sparse Coding. ICIP 2020: 818-822 - [c98]Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Projected Improved Fista And Application To Image Deblurring. ICIP 2020: 1043-1047 - [c97]Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula:
Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain. ICIP 2020: 2875-2879 - [c96]Satvik Chemudupati, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Non-Convex Optimization For Sparse Interferometric Phase Estimation. ICIP 2020: 2885-2889 - [c95]Suhas Srinath, Sunil Rudresh, Chandra Sekhar Seelamantula, Hareesh G, Murali Krishna P.:
Nyquist Pulses for Sub-Nyquist Sampling - Application to Underwater Imaging. ICIP 2020: 2965-2969 - [c94]Sukriti Paul, Hanitha Devi Gundabattula, Chandra Sekhar Seelamantula, V. R. Mujeeb, A. S. Prasad:
Fully-Automated Semantic Segmentation of Wireless Capsule Endoscopy Abnormalities. ISBI 2020: 221-224 - [c93]P. Kevin Raj, Aniketh Manjunath, J. R. Harish Kumar, Chandra Sekhar Seelamantula:
Automatic Classification of Artery/Vein from Single Wavelength Fundus Images. ISBI 2020: 1262-1265 - [c92]Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula:
Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR Images. ISBI 2020: 1929-1932 - [c91]Siddarth Asokan, Chandra Sekhar Seelamantula:
Teaching a GAN What Not to Learn. NeurIPS 2020 - [c90]Vinith Kishore, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming. SPCOM 2020: 1-5 - [c89]Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain. SPCOM 2020: 1-5 - [i16]Siddarth Asokan, Chandra Sekhar Seelamantula:
Teaching a GAN What Not to Learn. CoRR abs/2010.15639 (2020) - [i15]Aniketh Manjunath, Subramanya Jois, Chandra Sekhar Seelamantula:
Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks. CoRR abs/2012.07128 (2020)
2010 – 2019
- 2019
- [c88]Saurabh Kumar Gupta, Kundan Kumar, Chandra Sekhar Seelamantula, Chetan Singh Thakur:
A Portable Ultrasound Imaging System Utilizing Deep Generative Learning-Based Compressive Sensing On Pre-Beamformed RF Signals. EMBC 2019: 2740-2743 - [c87]Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula:
SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging. ICASSP 2019: 1045-1049 - [c86]Sidhartha Dey, Kapil Tahiliani, J. R. Harish Kumar, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
Automatic Segmentation of Optic Disc Using Affine Snakes in Gradient Vector Field. ICASSP 2019: 1204-1208 - [c85]J. R. Harish Kumar, Kartik Teotia, P. Kevin Raj, Jasbon Andrade, K. V. Rajagopal, Chandra Sekhar Seelamantula:
Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs. ICASSP 2019: 1353-1357 - [c84]Praveen Kumar Pokala, Amol G. Mahurkar, Chandra Sekhar Seelamantula:
FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems. ICASSP 2019: 2982-2986 - [c83]Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula:
A Learning Approach for Wavelet Design. ICASSP 2019: 5018-5022 - [c82]Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula:
FRI Modelling of Fourier Descriptors. ICASSP 2019: 5092-5096 - [c81]Jitendra Kumar Dhiman, Chandra Sekhar Seelamantula:
A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals. ICASSP 2019: 6510-6514 - [c80]P. Kevin Raj, J. R. Harish Kumar, Subramanya Jois, S. Harsha, Chandra Sekhar Seelamantula:
A Structure Tensor Based Voronoi Decomposition Technique for Optic Cup Segmentation. ICIP 2019: 829-833 - [c79]Dhruv Mohan, J. R. Harish Kumar, Chandra Sekhar Seelamantula:
Optic Disc Segmentation Using Cascaded Multiresolution Convolutional Neural Networks. ICIP 2019: 834-838 - [c78]Jitendra Kumar Dhiman, Nagaraj Adiga, Chandra Sekhar Seelamantula:
On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis. INTERSPEECH 2019: 944-948 - [c77]Vinu Sankar Sadasivan, Chandra Sekhar Seelamantula:
High Accuracy Patch-Level Classification of Wireless Capsule Endoscopy Images Using a Convolutional Neural Network. ISBI 2019: 96-99 - [c76]Amol G. Mahurkar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Iteratively-Reweighted Beamforming For High-Resolution Ultrasound Imaging. ISBI 2019: 1745-1748 - 2018
- [j39]Aritra Bhowmik, Suprosanna Shit, Chandra Sekhar Seelamantula:
Training-Free, Single-Image Super-Resolution Using a Dynamic Convolutional Network. IEEE Signal Process. Lett. 25(1): 85-89 (2018) - [j38]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Phase Retrieval From Binary Measurements. IEEE Signal Process. Lett. 25(3): 348-352 (2018) - [j37]Sundar Harshavardhan, Thippur V. Sreenivas, Chandra Sekhar Seelamantula:
TDOA-Based Multiple Acoustic Source Localization Without Association Ambiguity. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 1976-1990 (2018) - [j36]Sunil Rudresh, Sudarshan Nagesh, Chandra Sekhar Seelamantula:
Asymmetric Pulse Modeling for FRI Sampling. IEEE Trans. Signal Process. 66(8): 2027-2040 (2018) - [j35]Basty Ajay Shenoy, Satish Mulleti, Chandra Sekhar Seelamantula:
On Two-Dimensional Hilbert Integral Equations, Generalized Minimum-Phase Signals, and Phase Retrieval. IEEE Trans. Signal Process. 66(14): 3906-3917 (2018) - [c75]Abhilash Sainathan, Chandra Sekhar Seelamantula:
Phase Retrieval - A Deconvolution Perspective. APSIPA 2018: 114-121 - [c74]Harsha Sridhar, J. R. Harish Kumar, Subramanya Jois, Chandra Sekhar Seelamantula:
An Unconstrained Ellipse Fitting Technique and Application to Optic Cup Segmentation. GlobalSIP 2018: 514-518 - [c73]Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula:
Wavelet-Based Reconstruction for Unlimited Sampling. ICASSP 2018: 4584-4588 - [c72]Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula:
Phasesplit: A Variable Splitting Framework for Phase Retrieval. ICASSP 2018: 4709-4713 - [c71]Anindita De, Chandra Sekhar Seelamantula:
Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals. ICIP 2018: 1443-1447 - [c70]J. R. Harish Kumar, Chandra Sekhar Seelamantula, Jasbon Andrade, K. V. Rajagopal:
Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. ICIP 2018: 3493-3497 - [c69]Dhruv Mohan, J. R. Harish Kumar, Chandra Sekhar Seelamantula:
High-Performance Optic Disc Segmentation Using Convolutional Neural Networks. ICIP 2018: 4038-4042 - [c68]Jitendra Kumar Dhiman, Neeraj Sharma, Chandra Sekhar Seelamantula:
Multicomponent 2-D AM-FM Modeling of Speech Spectrograms. INTERSPEECH 2018: 736-740 - [c67]Abhilash Sainathan, Sunil Rudresh, Chandra Sekhar Seelamantula:
An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms. INTERSPEECH 2018: 741-745 - [c66]Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Speech Enhancement Using the Minimum-probability-of-error Criterion. INTERSPEECH 2018: 1141-1145 - [c65]Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula:
Binary Compressive Sensing and Super-Resolution With Unknown Threshold. SPCOM 2018: 65-69 - [c64]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A Singular Value Relaxation Technique for Learning Sparsifying Transforms. SPCOM 2018: 70-74 - [i14]Sunil Rudresh, Aditya Vasisht, Karthika Vijayan, Chandra Sekhar Seelamantula:
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals. CoRR abs/1801.06492 (2018) - [i13]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Quantization-Aware Phase Retrieval. CoRR abs/1810.01097 (2018) - 2017
- [j34]Sunil Rudresh, Chandra Sekhar Seelamantula:
Finite-Rate-of-Innovation-Sampling-Based Super-Resolution Radar Imaging. IEEE Trans. Signal Process. 65(19): 5021-5033 (2017) - [j33]Satish Mulleti, Chandra Sekhar Seelamantula:
Paley-Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling. IEEE Trans. Signal Process. 65(22): 5860-5872 (2017) - [c63]J. R. Harish Kumar, Rittwik Adhikari, Yogish S. Kamath, Rajani Jampala, Chandra Sekhar Seelamantula:
Automatic delineation of macular regions based on a locally defined contrast function. ICIP 2017: 1362-1366 - [c62]Karthika Vijayan, Jitendra Kumar Dhiman, Chandra Sekhar Seelamantula:
Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals. INTERSPEECH 2017: 329-333 - [c61]Jitendra Kumar Dhiman, Nagaraj Adiga, Chandra Sekhar Seelamantula:
A Spectro-Temporal Demodulation Technique for Pitch Estimation. INTERSPEECH 2017: 2306-2310 - [c60]Anjany Kumar Sekuboyina, Surya Teja Devarakonda, Chandra Sekhar Seelamantula:
A convolutional neural network approach for abnormality detection in Wireless Capsule Endoscopy. ISBI 2017: 1057-1060 - [i12]Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. CoRR abs/1705.07290 (2017) - [i11]Subhadip Mukherjee, Deepak R., Huaijin G. Chen, Ashok Veeraraghavan, Chandra Sekhar Seelamantula:
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging. CoRR abs/1706.09585 (2017) - [i10]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Phase Retrieval From Binary Measurements. CoRR abs/1708.00602 (2017) - [i9]Aniruddha Adiga, Chandra Sekhar Seelamantula:
An Alternating Minimization Strategy for Sparse Blind Deconvolution - Convergence Analysis and Concentration Inequalities. CoRR abs/1708.07370 (2017) - [i8]Jishnu Sadasivan, Chandra Sekhar Seelamantula, Nagarjuna Reddy Muraka:
PROSE: Perceptual Risk Optimization for Speech Enhancement. CoRR abs/1710.03975 (2017) - 2016
- [j32]Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula:
ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update. Signal Process. 123: 42-52 (2016) - [j31]Karthik Upadhya, Chandra Sekhar Seelamantula, K. V. S. Hari:
A risk minimization framework for channel estimation in OFDM systems. Signal Process. 128: 78-87 (2016) - [j30]Satish Mulleti, Chandra Sekhar Seelamantula:
Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle. IEEE Trans. Image Process. 25(3): 1451-1464 (2016) - [j29]Basty Ajay Shenoy, Satish Mulleti, Chandra Sekhar Seelamantula:
Exact Phase Retrieval in Principal Shift-Invariant Spaces. IEEE Trans. Signal Process. 64(2): 406-416 (2016) - [j28]Satish Mulleti, Basty Ajay Shenoy, Chandra Sekhar Seelamantula:
FRI Sampling on Structured Nonuniform Grids - Application to Super-Resolved Optical Imaging. IEEE Trans. Signal Process. 64(15): 3841-3853 (2016) - [c59]Jishnu Sadasivan, Chandra Sekhar Seelamantula:
An unbiased risk estimator for Gaussian mixture noise distributions - Application to speech denoising. ICASSP 2016: 4513-4517 - [c58]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A divide-and-conquer dictionary learning algorithm and its performance analysis. ICASSP 2016: 4712-4716 - [c57]Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Joint dictionary training for bandwidth extension of speech signals. ICASSP 2016: 5925-5929 - [c56]J. R. Harish Kumar, Chandra Sekhar Seelamantula, Nikhil S. Narayan, Pina Marziliano:
Automatic segmentation of common carotid artery in transverse mode ultrasound images. ICIP 2016: 389-393 - [c55]Badarish Colathur Arvind, Sujith Kumar Nagaraj, Chandra Sekhar Seelamantula, Gorthi Sai Siva:
Active-disc-based Kalman filter technique for tracking of blood cells in microfluidic channels. ICIP 2016: 3394-3398 - [c54]Sagar Venkatesh Gubbi, Ashutosh Gupta, Chandra Sekhar Seelamantula:
How much can a Gaussian smoother denoise? ICVGIP 2016: 7:1-7:8 - [c53]Babu Kishore Subramanian, Ashutosh Gupta, Chandra Sekhar Seelamantula:
A distribution-independent risk estimator for image denoising. ICVGIP 2016: 52:1-52:8 - [c52]Chandra Sekhar Seelamantula:
Phase-Encoded Speech Spectrograms. INTERSPEECH 2016: 1775-1779 - [c51]Sundar Harshavardhan, Gokul Deepak Manavalan, T. V. Sreenivas, Chandra Sekhar Seelamantula:
Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering. INTERSPEECH 2016: 3364-3368 - [c50]Jishnu Sadasivan, Chandra Sekhar Seelamantula:
A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions. INTERSPEECH 2016: 3718-3722 - [i7]Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula:
Super-Resolution From Binary Measurements With Unknown Threshold. CoRR abs/1606.03472 (2016) - 2015
- [j27]Harini Kishan, Chandra Sekhar Seelamantula:
Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise. J. Electronic Imaging 24(5): 053021 (2015) - [j26]Ravi R. Shenoy, Chandra Sekhar Seelamantula:
A Zero-Crossing Rate Property of Power Complementary Analysis Filterbank Outputs. IEEE Signal Process. Lett. 22(12): 2354-2358 (2015) - [j25]Haricharan Aragonda, Chandra Sekhar Seelamantula:
Demodulation of Narrowband Speech Spectrograms Using the Riesz Transform. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1824-1834 (2015) - [j24]Basty Ajay Shenoy, Chandra Sekhar Seelamantula:
Exact Phase Retrieval for a Class of 2-D Parametric Signals. IEEE Trans. Signal Process. 63(1): 90-103 (2015) - [j23]Ravi R. Shenoy, Chandra Sekhar Seelamantula:
Spectral Zero-Crossings: Localization Properties and Applications. IEEE Trans. Signal Process. 63(12): 3177-3190 (2015) - [c49]J. R. Harish Kumar, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
Active discs for automated optic disc segmentation. GlobalSIP 2015: 225-229 - [c48]Manasij Venkatesh, Chandra Sekhar Seelamantula:
Directional bilateral filters. ICASSP 2015: 1578-1582 - [c47]Satish Mulleti, Chandra Sekhar Seelamantula:
Periodic non-uniform sampling for FRI signals. ICASSP 2015: 5942-5946 - [c46]Sudarshan Nagesh, Chandra Sekhar Seelamantula:
FRI sampling and reconstruction of asymmetric pulses. ICASSP 2015: 5957-5961 - [c45]Chandra Sekhar Seelamantula, Thierry Blu:
Image denoising in multiplicative noise. ICIP 2015: 1528-1532 - 2014
- [j22]Arun Venkitaraman, Chandra Sekhar Seelamantula:
Fractional Hilbert transform extensions and associated analytic signal construction. Signal Process. 94: 359-372 (2014) - [j21]Arun Venkitaraman, Aniruddha Adiga, Chandra Sekhar Seelamantula:
Auditory-motivated Gammatone wavelet transform. Signal Process. 94: 608-619 (2014) - [j20]Sunder Ram Krishnan, Chandra Sekhar Seelamantula, Purvasha Chakravarti:
Spatially Adaptive Kernel Regression Using Risk Estimation. IEEE Signal Process. Lett. 21(4): 445-448 (2014) - [j19]Chandra Sekhar Seelamantula, Ravi R. Shenoy:
A Contraction Mapping Approach for Robust Estimation of Lagged Autocorrelation. IEEE Signal Process. Lett. 21(9): 1054-1058 (2014) - [j18]Arun Venkitaraman, Chandra Sekhar Seelamantula:
Binaural Signal Processing Motivated Generalized Analytic Signal Construction and AM-FM Demodulation. IEEE ACM Trans. Audio Speech Lang. Process. 22(6): 1023-1036 (2014) - [j17]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography. IEEE Trans. Signal Process. 62(18): 4659-4672 (2014) - [j16]Chandra Sekhar Seelamantula, Satish Mulleti:
Super-Resolution Reconstruction in Frequency-Domain Optical-Coherence Tomography Using the Finite-Rate-of-Innovation Principle. IEEE Trans. Signal Process. 62(19): 5020-5029 (2014) - [c44]Sudarshan Nagesh, Satish Mulleti, Chandra Sekhar Seelamantula:
On the role of the Hilbert transform in boosting the performance of the annihilating filter. ICASSP 2014: 1836-1840 - [c43]Ravi R. Shenoy, Chandra Sekhar Seelamantula:
Frequency domain linear prediction based on temporal analysis. ICASSP 2014: 2634-2638 - [c42]Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising. ICASSP 2014: 4249-4253 - [c41]Satish Mulleti, Chandra Sekhar Seelamantula:
Ellipse fitting using finite rate of innovation principles. ICASSP 2014: 5824-5828 - [c40]Sunder Ram Krishnan, Chandra Sekhar Seelamantula:
Optimum parameter selection in sparse reconstruction of frequency-domain optical-coherence tomography signals. DSP 2014: 200-203 - [c39]Aniruddha Adiga, Chandra Sekhar Seelamantula:
An alternating ℓp - ℓ2 projections algorithm (ALPA) for speech modeling using sparsity constraints. DSP 2014: 291-296 - [c38]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising. DSP 2014: 310-315 - [c37]Bala Kishore Panisetti, Thierry Blu, Chandra Sekhar Seelamantula:
An unbiased risk estimator for multiplicative noise - Application to 1-D signal denoising. DSP 2014: 497-502 - [c36]Sreeram V. Menon, Chandra Sekhar Seelamantula:
Robust Savitzky-Golay filters. DSP 2014: 688-693 - [c35]Satish Mulleti, Sudarshan Nagesh, Rajesh Langoju, Abhijit Patil, Chandra Sekhar Seelamantula:
Ultrasound image reconstruction using the finite-rate-of-innovation principle. ICIP 2014: 1728-1732 - [c34]Chandra Sekhar Seelamantula, Basty Ajay Shenoy, Severine Coquoz, Theo Lasser:
Exact reconstruction in Quantitative Phase Microscopy. ICIP 2014: 3934-3938 - [c33]Suraj Srinivas, Aniruddha Adiga, Chandra Sekhar Seelamantula:
Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition. ICIP 2014: 5826-5830 - [c32]Sanjeev Gurugopinath, Chandra R. Murthy, Chandra Sekhar Seelamantula:
Zero-crossings based spectrum sensing under noise uncertainties. NCC 2014: 1-6 - [i6]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation. CoRR abs/1403.4781 (2014) - [i5]Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula:
A Robust Dictionary Learning Algorithm for Image Denoising. CoRR abs/1410.0311 (2014) - [i4]Karthik Upadhya, Chandra Sekhar Seelamantula, K. V. S. Hari:
A Risk Minimization Framework for Channel Estimation in OFDM Systems. CoRR abs/1410.6028 (2014) - [i3]Manasij Venkatesh, Chandra Sekhar Seelamantula:
Directional Bilateral Filters. CoRR abs/1410.7164 (2014) - [i2]Sagar Venkatesh Gubbi, Chandra Sekhar Seelamantula:
Risk Estimation Without Using Stein's Lemma - Application to Image Denoising. CoRR abs/1412.2210 (2014) - 2013
- [j15]Sunder Ram Krishnan, Mathew Magimai-Doss, Chandra Sekhar Seelamantula:
A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation. IEEE Signal Process. Lett. 20(3): 281-284 (2013) - [j14]Arun Venkitaraman, Chandra Sekhar Seelamantula:
On Computing Amplitude, Phase, and Frequency Modulations Using a Vector Interpretation of the Analytic Signal. IEEE Signal Process. Lett. 20(12): 1187-1190 (2013) - [j13]Arun Venkitaraman, Chandra Sekhar Seelamantula:
Temporal Envelope Fit of Transient Audio Signals. IEEE Signal Process. Lett. 20(12): 1191-1194 (2013) - [j12]Sunder Ram Krishnan, Chandra Sekhar Seelamantula:
On the Selection of Optimum Savitzky-Golay Filters. IEEE Trans. Signal Process. 61(2): 380-391 (2013) - [c31]Abin Jose, Chandra Sekhar Seelamantula:
Bilateral edge detectors. ICASSP 2013: 1449-1453 - [c30]Haricharan Aragonda, Chandra Sekhar Seelamantula:
Riesz-transform-based demodulation of narrowband spectrograms of voiced speech. ICASSP 2013: 8203-8207 - [c29]Basty Ajay Shenoy, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Phase retrieval for a class of 2-D signals characterized by first-order difference equations. ICIP 2013: 325-329 - [c28]Sreeram V. Menon, Chandra Sekhar Seelamantula:
Sure-optimal two-dimensional Savitzky-Golay filters for image denoising. ICIP 2013: 459-463 - [c27]Jayanth Krishna Mogali, Naren Nallapareddy, Chandra Sekhar Seelamantula, Michael Unser:
A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images. ICIP 2013: 1177-1181 - [c26]Abin Jose, Sunder Ram Krishnan, Chandra Sekhar Seelamantula:
Ridge detection using Savitzky-Golay filtering and steerable second-order Gaussian derivatives. ICIP 2013: 3059-3063 - [i1]Jayanth Krishna Mogali, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
Template-Based Active Contours. CoRR abs/1312.0760 (2013) - 2012
- [j11]Arun Venkitaraman, Chandra Sekhar Seelamantula:
A Technique to Compute Smooth Amplitude, Phase, and Frequency Modulations From the Analytic Signal. IEEE Signal Process. Lett. 19(10): 623-626 (2012) - [j10]Sundar Harshavardhan, Chandra Sekhar Seelamantula, Thippur V. Sreenivas:
A Mixture Model Approach for Formant Tracking and the Robustness of Student's-t Distribution. IEEE Trans. Speech Audio Process. 20(10): 2626-2636 (2012) - [j9]Ricard Delgado-Gonzalo, Philippe Thévenaz, Chandra Sekhar Seelamantula, Michael Unser:
Snakes With an Ellipse-Reproducing Property. IEEE Trans. Image Process. 21(3): 1258-1271 (2012) - [c25]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography. ICASSP 2012: 553-556 - [c24]Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
A unified approach for optimization of Snakuscules and Ovuscules. ICASSP 2012: 681-684 - [c23]Harini Kishan, Chandra Sekhar Seelamantula:
Sure-fast bilateral filters. ICASSP 2012: 1129-1132 - [c22]Harini Kishan, Chandra Sekhar Seelamantula:
Optimal parameter selection for bilateral filters using Poisson Unbiased Risk Estimate. ICIP 2012: 121-124 - [c21]Ravindra S. Hegadi, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
Bilateral smoothing of gradient vector field and application to image segmentation. ICIP 2012: 317-320 - [c20]Sunder Ram Krishnan, Chandra Sekhar Seelamantula:
A generalized Stein's estimation approach for speech enhancement based on perceptual criteria. SAPA@INTERSPEECH 2012: 28-33 - 2011
- [c19]Ravi R. Shenoy, Chandra Sekhar Seelamantula:
Spectral-envelope and group-delay models for transient signals - Applications to castanets and stop consonants. ICASSP 2011: 521-524 - [c18]Haricharan Aragonda, Chandra Sekhar Seelamantula:
Quadrature approximation properties of the spiral-phase quadrature transform. ICASSP 2011: 1389-1392 - [c17]Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
Active-contour-based automated image quantitation techniques for Western Blot Analysis. ISPA 2011: 331-336 - [c16]Adithya Kumar Pediredla, Chandra Sekhar Seelamantula:
A Huber-loss-driven clustering technique and its application to robust cell detection in confocal microscopy images. ISPA 2011: 501-506 - [c15]Nagarjuna Reddy Muraka, Chandra Sekhar Seelamantula:
A Risk-Estimation-Based Comparison of Mean Square Error and Itakura-Saito Distortion Measures for Speech Enhancement. INTERSPEECH 2011: 349-352 - 2010
- [j8]Chandra Sekhar Seelamantula, Michael Unser:
Performance analysis of reconstruction techniques for frequency-domain optical-coherence tomography. IEEE Trans. Signal Process. 58(3): 1947-1951 (2010) - [c14]Sundar Harshavardhan, Chandra Sekhar Seelamantula, Thippur V. Sreenivas:
A multimodal density function estimation approach to formant tracking. INTERSPEECH 2010: 2410-2413
2000 – 2009
- 2009
- [j7]Chandra Sekhar Seelamantula, Thippur V. Sreenivas:
Blocking artifacts in speech/audio: Dynamic auditory model-based characterization and optimal time-frequency smoothing. Signal Process. 89(4): 523-531 (2009) - [c13]Nicolas Ducros, Anabela da Silva, Jean-Marc Dinten, Chandra Sekhar Seelamantula, Michael Unser, Françoise Peyrin:
Time Resolved Fluorescence Diffuse Optical Tomography Using Multi-Resolution Exponential B-Splines. ISBI 2009: 157-160 - [c12]Chandra Sekhar Seelamantula, Nicolas Pavillon, Christian D. Depeursinge, Michael Unser:
Zero-Order-Free Image Reconstruction in Digital Holographic Microscopy. ISBI 2009: 201-204 - 2008
- [j6]Chandra Sekhar Seelamantula, Michael Unser:
A Generalized Sampling Method for Finite-Rate-of-Innovation-Signal Reconstruction. IEEE Signal Process. Lett. 15: 813-816 (2008) - [c11]S. Chandra Sekhar, François Aguet, Sebastien Romain, Philippe Thévenaz, Michael Unser:
Parametric B-spline snakes on distance maps - Application to segmentation of histology images. EUSIPCO 2008: 1-5 - [c10]S. Chandra Sekhar, Michael Unser:
Performance analysis of the cepstral technique for frequency-domain optical-coherence tomography. ICASSP 2008: 557-560 - [c9]Jean-Charles Baritaux, S. Chandra Sekhar, Michael Unser:
A spline-based forward model for Optical Diffuse Tomography. ISBI 2008: 384-387 - [c8]S. Chandra Sekhar, Roland Michaely, Rainer A. Leitgeb, Michael Unser:
Theoretical analysis of complex-conjugate-ambiguity suppression in frequency-domain optical-coherence tomography. ISBI 2008: 396-399 - 2007
- [c7]S. Chandra Sekhar, Himanshu Nazkani, Thierry Blu, Michael Unser:
A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography. ICASSP (1) 2007: 425-428 - [c6]A. Sreenivasa Murthy, S. Chandra Sekhar, Thippur V. Sreenivas:
Robust and high-resolution voiced/unvoiced classification in noisy speech using a signal smoothness criterion. INTERSPEECH 2007: 2965-2968 - [c5]S. Chandra Sekhar, Rainer A. Leitgeb, Martin L. Villiger, Adrian H. Bachmann, Thierry Blu, Michael Unser:
Non-Iterative Exact Signal Recovery in Frequency Domain Optical Coherence Tomography. ISBI 2007: 808-811 - [c4]T. G. Thomas, S. Chandra Sekhar:
Perception studies on the attributes of synthetic clear speech for the hard of hearing. ISSPA 2007: 1-4 - 2006
- [j5]S. Chandra Sekhar, T. V. Sreenivas:
Signal-to-noise ratio estimation using higher-order moments. Signal Process. 86(4): 716-732 (2006) - [c3]S. Chandra Sekhar, Sridhar Pilli, Lakshmikanth C, T. V. Sreenivas:
Novel auditory motivated subband temporal envelope based fundamental frequency estimation algorithm. EUSIPCO 2006: 1-5 - 2005
- [j4]S. Chandra Sekhar, T. V. Sreenivas:
Auditory motivated level-crossing approach to instantaneous frequency estimation. IEEE Trans. Signal Process. 53(4): 1450-1462 (2005) - 2004
- [j3]S. Chandra Sekhar, Thippur V. Sreenivas:
Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation. EURASIP J. Adv. Signal Process. 2004(12): 1791-1806 (2004) - [j2]S. Chandra Sekhar, T. V. Sreenivas:
Effect of interpolation on PWVD computation and instantaneous frequency estimation. Signal Process. 84(1): 107-116 (2004) - [c2]S. Chandra Sekhar, Thippur V. Sreenivas:
Novel approach to AM-FM decomposition with applications to speech and music analysis. ICASSP (2) 2004: 753-756 - 2003
- [j1]S. Chandra Sekhar, T. V. Sreenivas:
Adaptive spectrogram vs. adaptive pseudo-Wigner-Ville distribution for instantaneous frequency estimation. Signal Process. 83(7): 1529-1543 (2003) - [c1]Seelamantula Chandrasekhar, Thippur V. Sreenivas:
Instantaneous frequency estimation using level-crossing information. ICASSP (6) 2003: 141-144
Coauthor Index
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