Instantaneous frequency estimation using level-crossing information. - Seelamantula Chandrasekhar; Thippur V. Sreenivas (ICASSP (6), 2003)

Adaptive spectrogram vs. adaptive pseudo-Wigner-Ville distribution for instantaneous frequency estimation. - S. Chandra Sekhar; T. V. Sreenivas (Signal Process., 2003)

Novel approach to AM-FM decomposition with applications to speech and music analysis. - S. Chandra Sekhar; Thippur V. Sreenivas (ICASSP (2), 2004)

Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation. - S. Chandra Sekhar; Thippur V. Sreenivas (EURASIP J. Adv. Signal Process., 2004)

Effect of interpolation on PWVD computation and instantaneous frequency estimation. - S. Chandra Sekhar; T. V. Sreenivas (Signal Process., 2004)

Auditory motivated level-crossing approach to instantaneous frequency estimation. - S. Chandra Sekhar; T. V. Sreenivas (IEEE Trans. Signal Process., 2005)

Novel auditory motivated subband temporal envelope based fundamental frequency estimation algorithm. - S. Chandra Sekhar; Sridhar Pilli; Lakshmikanth C; T. V. Sreenivas (EUSIPCO, 2006)

Signal-to-noise ratio estimation using higher-order moments. - S. Chandra Sekhar; T. V. Sreenivas (Signal Process., 2006)

A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography. - S. Chandra Sekhar; Himanshu Nazkani; Thierry Blu; Michael Unser (ICASSP (1), 2007)

Robust and high-resolution voiced/unvoiced classification in noisy speech using a signal smoothness criterion. - A. Sreenivasa Murthy; S. Chandra Sekhar; Thippur V. Sreenivas (INTERSPEECH, 2007)

Non-Iterative Exact Signal Recovery in Frequency Domain Optical Coherence Tomography. - S. Chandra Sekhar; Rainer A. Leitgeb; Martin L. Villiger; Adrian H. Bachmann; Thierry Blu; Michael Unser (ISBI, 2007)

Perception studies on the attributes of synthetic clear speech for the hard of hearing. - T. G. Thomas; S. Chandra Sekhar (ISSPA, 2007)

Parametric B-spline snakes on distance maps - Application to segmentation of histology images. - S. Chandra Sekhar; François Aguet; Sebastien Romain; Philippe Thévenaz; Michael Unser (EUSIPCO, 2008)

Performance analysis of the cepstral technique for frequency-domain optical-coherence tomography. - S. Chandra Sekhar; Michael Unser (ICASSP, 2008)

A spline-based forward model for Optical Diffuse Tomography. - Jean-Charles Baritaux; S. Chandra Sekhar; Michael Unser (ISBI, 2008)

Theoretical analysis of complex-conjugate-ambiguity suppression in frequency-domain optical-coherence tomography. - S. Chandra Sekhar; Roland Michaely; Rainer A. Leitgeb; Michael Unser (ISBI, 2008)

A Generalized Sampling Method for Finite-Rate-of-Innovation-Signal Reconstruction. - Chandra Sekhar Seelamantula; Michael Unser (IEEE Signal Process. Lett., 2008)

Time Resolved Fluorescence Diffuse Optical Tomography Using Multi-Resolution Exponential B-Splines. - Nicolas Ducros; Anabela da Silva; Jean-Marc Dinten; Chandra Sekhar Seelamantula; Michael Unser; Françoise Peyrin (ISBI, 2009)

Zero-Order-Free Image Reconstruction in Digital Holographic Microscopy. - Chandra Sekhar Seelamantula; Nicolas Pavillon; Christian D. Depeursinge; Michael Unser (ISBI, 2009)

Blocking artifacts in speech/audio: Dynamic auditory model-based characterization and optimal time-frequency smoothing. - Chandra Sekhar Seelamantula; Thippur V. Sreenivas (Signal Process., 2009)

A multimodal density function estimation approach to formant tracking. - Sundar Harshavardhan; Chandra Sekhar Seelamantula; Thippur V. Sreenivas (INTERSPEECH, 2010)

Performance analysis of reconstruction techniques for frequency-domain optical-coherence tomography. - Chandra Sekhar Seelamantula; Michael Unser (IEEE Trans. Signal Process., 2010)

Quadrature approximation properties of the spiral-phase quadrature transform. - Haricharan Aragonda; Chandra Sekhar Seelamantula (ICASSP, 2011)

Spectral-envelope and group-delay models for transient signals - Applications to castanets and stop consonants. - Ravi R. Shenoy; Chandra Sekhar Seelamantula (ICASSP, 2011)

Active-contour-based automated image quantitation techniques for Western Blot Analysis. - Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (ISPA, 2011)

A Huber-loss-driven clustering technique and its application to robust cell detection in confocal microscopy images. - Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (ISPA, 2011)

A Risk-Estimation-Based Comparison of Mean Square Error and Itakura-Saito Distortion Measures for Speech Enhancement. - Nagarjuna Reddy Muraka; Chandra Sekhar Seelamantula (INTERSPEECH, 2011)

Sure-fast bilateral filters. - Harini Kishan; Chandra Sekhar Seelamantula (ICASSP, 2012)

An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2012)

A unified approach for optimization of Snakuscules and Ovuscules. - Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (ICASSP, 2012)

Bilateral smoothing of gradient vector field and application to image segmentation. - Ravindra S. Hegadi; Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (ICIP, 2012)

Optimal parameter selection for bilateral filters using Poisson Unbiased Risk Estimate. - Harini Kishan; Chandra Sekhar Seelamantula (ICIP, 2012)

A generalized Stein's estimation approach for speech enhancement based on perceptual criteria. - Sunder Ram Krishnan; Chandra Sekhar Seelamantula (SAPA@INTERSPEECH, 2012)

A Technique to Compute Smooth Amplitude, Phase, and Frequency Modulations From the Analytic Signal. - Arun Venkitaraman; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2012)

A Mixture Model Approach for Formant Tracking and the Robustness of Student's-t Distribution. - Sundar Harshavardhan; Chandra Sekhar Seelamantula; Thippur V. Sreenivas (IEEE Trans. Speech Audio Process., 2012)

Snakes With an Ellipse-Reproducing Property. - Ricard Delgado-Gonzalo; Philippe Thévenaz; Chandra Sekhar Seelamantula; Michael Unser (IEEE Trans. Image Process., 2012)

Riesz-transform-based demodulation of narrowband spectrograms of voiced speech. - Haricharan Aragonda; Chandra Sekhar Seelamantula (ICASSP, 2013)

Bilateral edge detectors. - Abin Jose; Chandra Sekhar Seelamantula (ICASSP, 2013)

Ridge detection using Savitzky-Golay filtering and steerable second-order Gaussian derivatives. - Abin Jose; Sunder Ram Krishnan; Chandra Sekhar Seelamantula (ICIP, 2013)

Sure-optimal two-dimensional Savitzky-Golay filters for image denoising. - Sreeram V. Menon; Chandra Sekhar Seelamantula (ICIP, 2013)

A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images. - Jayanth Krishna Mogali; Naren Nallapareddy; Chandra Sekhar Seelamantula; Michael Unser (ICIP, 2013)

Phase retrieval for a class of 2-D signals characterized by first-order difference equations. - Basty Ajay Shenoy; Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICIP, 2013)

Template-Based Active Contours. - Jayanth Krishna Mogali; Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (CoRR, 2013)

A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation. - Sunder Ram Krishnan; Mathew Magimai-Doss; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2013)

On Computing Amplitude, Phase, and Frequency Modulations Using a Vector Interpretation of the Analytic Signal. - Arun Venkitaraman; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2013)

Temporal Envelope Fit of Transient Audio Signals. - Arun Venkitaraman; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2013)

On the Selection of Optimum Savitzky-Golay Filters. - Sunder Ram Krishnan; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2013)

Ellipse fitting using finite rate of innovation principles. - Satish Mulleti; Chandra Sekhar Seelamantula (ICASSP, 2014)

On the role of the Hilbert transform in boosting the performance of the annihilating filter. - Sudarshan Nagesh; Satish Mulleti; Chandra Sekhar Seelamantula (ICASSP, 2014)

An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising. - Jishnu Sadasivan; Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2014)

Frequency domain linear prediction based on temporal analysis. - Ravi R. Shenoy; Chandra Sekhar Seelamantula (ICASSP, 2014)

An alternating ℓp - ℓ2 projections algorithm (ALPA) for speech modeling using sparsity constraints. - Aniruddha Adiga; Chandra Sekhar Seelamantula (DSP, 2014)

Optimum parameter selection in sparse reconstruction of frequency-domain optical-coherence tomography signals. - Sunder Ram Krishnan; Chandra Sekhar Seelamantula (DSP, 2014)

Robust Savitzky-Golay filters. - Sreeram V. Menon; Chandra Sekhar Seelamantula (DSP, 2014)

A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (DSP, 2014)

An unbiased risk estimator for multiplicative noise - Application to 1-D signal denoising. - Bala Kishore Panisetti; Thierry Blu; Chandra Sekhar Seelamantula (DSP, 2014)

Ultrasound image reconstruction using the finite-rate-of-innovation principle. - Satish Mulleti; Sudarshan Nagesh; Rajesh Langoju; Abhijit Patil; Chandra Sekhar Seelamantula (ICIP, 2014)

Exact reconstruction in Quantitative Phase Microscopy. - Chandra Sekhar Seelamantula; Basty Ajay Shenoy; Severine Coquoz; Theo Lasser (ICIP, 2014)

Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition. - Suraj Srinivas; Aniruddha Adiga; Chandra Sekhar Seelamantula (ICIP, 2014)

Zero-crossings based spectrum sensing under noise uncertainties. - Sanjeev Gurugopinath; Chandra R. Murthy; Chandra Sekhar Seelamantula (NCC, 2014)

Risk Estimation Without Using Stein's Lemma - Application to Image Denoising. - Sagar Venkatesh Gubbi; Chandra Sekhar Seelamantula (CoRR, 2014)

A Robust Dictionary Learning Algorithm for Image Denoising. - Subhadip Mukherjee; Rupam Basu; Chandra Sekhar Seelamantula (CoRR, 2014)

A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (CoRR, 2014)

Auditory-motivated Gammatone wavelet transform. - Arun Venkitaraman; Aniruddha Adiga; Chandra Sekhar Seelamantula (Signal Process., 2014)

Fractional Hilbert transform extensions and associated analytic signal construction. - Arun Venkitaraman; Chandra Sekhar Seelamantula (Signal Process., 2014)

Spatially Adaptive Kernel Regression Using Risk Estimation. - Sunder Ram Krishnan; Chandra Sekhar Seelamantula; Purvasha Chakravarti (IEEE Signal Process. Lett., 2014)

A Contraction Mapping Approach for Robust Estimation of Lagged Autocorrelation. - Chandra Sekhar Seelamantula; Ravi R. Shenoy (IEEE Signal Process. Lett., 2014)

Binaural Signal Processing Motivated Generalized Analytic Signal Construction and AM-FM Demodulation. - Arun Venkitaraman; Chandra Sekhar Seelamantula (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2014)

Super-Resolution Reconstruction in Frequency-Domain Optical-Coherence Tomography Using the Finite-Rate-of-Innovation Principle. - Chandra Sekhar Seelamantula; Satish Mulleti (IEEE Trans. Signal Process., 2014)

Active discs for automated optic disc segmentation. - J. R. Harish Kumar; Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (GlobalSIP, 2015)

Periodic non-uniform sampling for FRI signals. - Satish Mulleti; Chandra Sekhar Seelamantula (ICASSP, 2015)

FRI sampling and reconstruction of asymmetric pulses. - Sudarshan Nagesh; Chandra Sekhar Seelamantula (ICASSP, 2015)

Directional bilateral filters. - Manasij Venkatesh; Chandra Sekhar Seelamantula (ICASSP, 2015)

Image denoising in multiplicative noise. - Chandra Sekhar Seelamantula; Thierry Blu (ICIP, 2015)

Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise. - Harini Kishan; Chandra Sekhar Seelamantula (J. Electronic Imaging, 2015)

A Zero-Crossing Rate Property of Power Complementary Analysis Filterbank Outputs. - Ravi R. Shenoy; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2015)

Demodulation of Narrowband Speech Spectrograms Using the Riesz Transform. - Haricharan Aragonda; Chandra Sekhar Seelamantula (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Exact Phase Retrieval for a Class of 2-D Parametric Signals. - Basty Ajay Shenoy; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2015)

Spectral Zero-Crossings: Localization Properties and Applications. - Ravi R. Shenoy; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2015)

A divide-and-conquer dictionary learning algorithm and its performance analysis. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2016)

Joint dictionary training for bandwidth extension of speech signals. - Jishnu Sadasivan; Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2016)

An unbiased risk estimator for Gaussian mixture noise distributions - Application to speech denoising. - Jishnu Sadasivan; Chandra Sekhar Seelamantula (ICASSP, 2016)

Active-disc-based Kalman filter technique for tracking of blood cells in microfluidic channels. - Badarish Colathur Arvind; Sujith Kumar Nagaraj; Chandra Sekhar Seelamantula; Gorthi Sai Siva (ICIP, 2016)

Automatic segmentation of common carotid artery in transverse mode ultrasound images. - J. R. Harish Kumar; Chandra Sekhar Seelamantula; Nikhil S. Narayan; Pina Marziliano (ICIP, 2016)

How much can a Gaussian smoother denoise? - Sagar Venkatesh Gubbi; Ashutosh Gupta; Chandra Sekhar Seelamantula (ICVGIP, 2016)

A distribution-independent risk estimator for image denoising. - Babu Kishore Subramanian; Ashutosh Gupta; Chandra Sekhar Seelamantula (ICVGIP, 2016)

Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering. - Sundar Harshavardhan; Gokul Deepak Manavalan; T. V. Sreenivas; Chandra Sekhar Seelamantula (INTERSPEECH, 2016)

A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions. - Jishnu Sadasivan; Chandra Sekhar Seelamantula (INTERSPEECH, 2016)

Phase-Encoded Speech Spectrograms. - Chandra Sekhar Seelamantula (INTERSPEECH, 2016)

Super-Resolution From Binary Measurements With Unknown Threshold. - Subhadip Mukherjee; Anjany Kumar Sekuboyina; Chandra Sekhar Seelamantula (CoRR, 2016)

ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update. - Subhadip Mukherjee; Rupam Basu; Chandra Sekhar Seelamantula (Signal Process., 2016)

A risk minimization framework for channel estimation in OFDM systems. - Karthik Upadhya; Chandra Sekhar Seelamantula; K. V. S. Hari (Signal Process., 2016)

Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle. - Satish Mulleti; Chandra Sekhar Seelamantula (IEEE Trans. Image Process., 2016)

FRI Sampling on Structured Nonuniform Grids - Application to Super-Resolved Optical Imaging. - Satish Mulleti; Basty Ajay Shenoy; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2016)

Exact Phase Retrieval in Principal Shift-Invariant Spaces. - Basty Ajay Shenoy; Satish Mulleti; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2016)

Automatic delineation of macular regions based on a locally defined contrast function. - J. R. Harish Kumar; Rittwik Adhikari; Yogish S. Kamath; Rajani Jampala; Chandra Sekhar Seelamantula (ICIP, 2017)

A Spectro-Temporal Demodulation Technique for Pitch Estimation. - Jitendra Kumar Dhiman; Nagaraj Adiga; Chandra Sekhar Seelamantula (INTERSPEECH, 2017)

Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals. - Karthika Vijayan; Jitendra Kumar Dhiman; Chandra Sekhar Seelamantula (INTERSPEECH, 2017)

A convolutional neural network approach for abnormality detection in Wireless Capsule Endoscopy. - Anjany Kumar Sekuboyina; Surya Teja Devarakonda; Chandra Sekhar Seelamantula (ISBI, 2017)

Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. - Debabrata Mahapatra; Subhadip Mukherjee; Chandra Sekhar Seelamantula (CoRR, 2017)

Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging. - Subhadip Mukherjee; Deepak R.; Huaijin G. Chen; Ashok Veeraraghavan; Chandra Sekhar Seelamantula (CoRR, 2017)

An Alternating Minimization Strategy for Sparse Blind Deconvolution - Convergence Analysis and Concentration Inequalities. - Aniruddha Adiga; Chandra Sekhar Seelamantula (CoRR, 2017)

PROSE: Perceptual Risk Optimization for Speech Enhancement. - Jishnu Sadasivan; Chandra Sekhar Seelamantula; Nagarjuna Reddy Muraka (CoRR, 2017)

Paley-Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling. - Satish Mulleti; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2017)

Finite-Rate-of-Innovation-Sampling-Based Super-Resolution Radar Imaging. - Sunil Rudresh; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2017)

Phase Retrieval - A Deconvolution Perspective. - Abhilash Sainathan; Chandra Sekhar Seelamantula (APSIPA, 2018)

An Unconstrained Ellipse Fitting Technique and Application to Optic Cup Segmentation. - Harsha Sridhar; J. R. Harish Kumar; Subramanya Jois; Chandra Sekhar Seelamantula (GlobalSIP, 2018)

Phasesplit: A Variable Splitting Framework for Phase Retrieval. - Subhadip Mukherjee; Suprosanna Shit; Chandra Sekhar Seelamantula (ICASSP, 2018)

Wavelet-Based Reconstruction for Unlimited Sampling. - Sunil Rudresh; Aniruddha Adiga; Basty Ajay Shenoy; Chandra Sekhar Seelamantula (ICASSP, 2018)

Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals. - Anindita De; Chandra Sekhar Seelamantula (ICIP, 2018)

Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. - J. R. Harish Kumar; Chandra Sekhar Seelamantula; Jasbon Andrade; K. V. Rajagopal (ICIP, 2018)

High-Performance Optic Disc Segmentation Using Convolutional Neural Networks. - Dhruv Mohan; J. R. Harish Kumar; Chandra Sekhar Seelamantula (ICIP, 2018)

Multicomponent 2-D AM-FM Modeling of Speech Spectrograms. - Jitendra Kumar Dhiman; Neeraj Sharma; Chandra Sekhar Seelamantula (INTERSPEECH, 2018)

Speech Enhancement Using the Minimum-probability-of-error Criterion. - Jishnu Sadasivan; Subhadip Mukherjee; Chandra Sekhar Seelamantula (INTERSPEECH, 2018)

An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms. - Abhilash Sainathan; Sunil Rudresh; Chandra Sekhar Seelamantula (INTERSPEECH, 2018)

A Singular Value Relaxation Technique for Learning Sparsifying Transforms. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (SPCOM, 2018)

Binary Compressive Sensing and Super-Resolution With Unknown Threshold. - Subhadip Mukherjee; Anjany Kumar Sekuboyina; Chandra Sekhar Seelamantula (SPCOM, 2018)

Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals. - Sunil Rudresh; Aditya Vasisht; Karthika Vijayan; Chandra Sekhar Seelamantula (CoRR, 2018)

Training-Free, Single-Image Super-Resolution Using a Dynamic Convolutional Network. - Aritra Bhowmik; Suprosanna Shit; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2018)

Phase Retrieval From Binary Measurements. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2018)

TDOA-Based Multiple Acoustic Source Localization Without Association Ambiguity. - Sundar Harshavardhan; Thippur V. Sreenivas; Chandra Sekhar Seelamantula (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Asymmetric Pulse Modeling for FRI Sampling. - Sunil Rudresh; Sudarshan Nagesh; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2018)

On Two-Dimensional Hilbert Integral Equations, Generalized Minimum-Phase Signals, and Phase Retrieval. - Basty Ajay Shenoy; Satish Mulleti; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2018)

A Portable Ultrasound Imaging System Utilizing Deep Generative Learning-Based Compressive Sensing On Pre-Beamformed RF Signals. - Saurabh Kumar Gupta; Kundan Kumar; Chandra Sekhar Seelamantula; Chetan Singh Thakur (EMBC, 2019)

Automatic Segmentation of Optic Disc Using Affine Snakes in Gradient Vector Field. - Sidhartha Dey; Kapil Tahiliani; J. R. Harish Kumar; Adithya Kumar Pediredla; Chandra Sekhar Seelamantula (ICASSP, 2019)

A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals. - Jitendra Kumar Dhiman; Chandra Sekhar Seelamantula (ICASSP, 2019)

A Learning Approach for Wavelet Design. - Dhruv Jawali; Abhishek Kumar; Chandra Sekhar Seelamantula (ICASSP, 2019)

FRI Modelling of Fourier Descriptors. - Abijith Jagannath Kamath; Sunil Rudresh; Chandra Sekhar Seelamantula (ICASSP, 2019)

Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs. - J. R. Harish Kumar; Kartik Teotia; P. Kevin Raj; Jasbon Andrade; K. V. Rajagopal; Chandra Sekhar Seelamantula (ICASSP, 2019)

SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging. - Amol G. Mahurkar; Praveen Kumar Pokala; Chetan Singh Thakur; Chandra Sekhar Seelamantula (ICASSP, 2019)

FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems. - Praveen Kumar Pokala; Amol G. Mahurkar; Chandra Sekhar Seelamantula (ICASSP, 2019)

Optic Disc Segmentation Using Cascaded Multiresolution Convolutional Neural Networks. - Dhruv Mohan; J. R. Harish Kumar; Chandra Sekhar Seelamantula (ICIP, 2019)

A Structure Tensor Based Voronoi Decomposition Technique for Optic Cup Segmentation. - P. Kevin Raj; J. R. Harish Kumar; Subramanya Jois; S. Harsha; Chandra Sekhar Seelamantula (ICIP, 2019)

On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis. - Jitendra Kumar Dhiman; Nagaraj Adiga; Chandra Sekhar Seelamantula (INTERSPEECH, 2019)

Iteratively-Reweighted Beamforming For High-Resolution Ultrasound Imaging. - Amol G. Mahurkar; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ISBI, 2019)

High Accuracy Patch-Level Classification of Wireless Capsule Endoscopy Images Using a Convolutional Neural Network. - Vinu Sankar Sadasivan; Chandra Sekhar Seelamantula (ISBI, 2019)

Wirtinger Flow Algorithms for Phase Retrieval from Binary Measurements. - Vinith Kishore; Chandra Sekhar Seelamantula (ICASSP, 2020)

Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network. - Pavan Kulkarni; Jishnu Sadasivan; Aniruddha Adiga; Chandra Sekhar Seelamantula (ICASSP, 2020)

Confirmnet: Convolutional Firmnet and Application to Image Denoising and Inpainting. - Praveen Kumar Pokala; Prakash Kumar Uttam; Chandra Sekhar Seelamantula (ICASSP, 2020)

A Time-Based Sampling Framework for Finite-Rate-of-Innovation Signals. - Sunil Rudresh; Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2020)

Non-Convex Optimization For Sparse Interferometric Phase Estimation. - Satvik Chemudupati; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2020)

Cornet: Composite-Regularized Neural Network For Convolutional Sparse Coding. - Dhruv Jawali; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2020)

Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain. - Praveen Kumar Pokala; Satvik Chemudupati; Chandra Sekhar Seelamantula (ICIP, 2020)

Projected Improved Fista And Application To Image Deblurring. - Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2020)

Nyquist Pulses for Sub-Nyquist Sampling - Application to Underwater Imaging. - Suhas Srinath; Sunil Rudresh; Chandra Sekhar Seelamantula; Hareesh G; Murali Krishna P. (ICIP, 2020)

Fully-Automated Semantic Segmentation of Wireless Capsule Endoscopy Abnormalities. - Sukriti Paul; Hanitha Devi Gundabattula; Chandra Sekhar Seelamantula; V. R. Mujeeb; A. S. Prasad (ISBI, 2020)

Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR Images. - Praveen Kumar Pokala; Satvik Chemudupati; Chandra Sekhar Seelamantula (ISBI, 2020)

Automatic Classification of Artery/Vein from Single Wavelength Fundus Images. - P. Kevin Raj; Aniketh Manjunath; J. R. Harish Kumar; Chandra Sekhar Seelamantula (ISBI, 2020)

Teaching a GAN What Not to Learn. - Siddarth Asokan; Chandra Sekhar Seelamantula (NeurIPS, 2020)

PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming. - Vinith Kishore; Subhadip Mukherjee; Chandra Sekhar Seelamantula (SPCOM, 2020)

Accelerated Weighted ℓ1-Minimization for MRI Reconstruction Under Tight Frames in Complex Domain. - Praveen Kumar Pokala; Chandra Sekhar Seelamantula (SPCOM, 2020)

Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks. - Aniketh Manjunath; Subramanya Jois; Chandra Sekhar Seelamantula (CoRR, 2020)

Musical noise suppression using a low-rank and sparse matrix decomposition approach. - Jishnu Sadasivan; Jitendra Kumar Dhiman; Chandra Sekhar Seelamantula (Speech Commun., 2020)

Speech Enhancement Using a Risk Estimation Approach. - Jishnu Sadasivan; Chandra Sekhar Seelamantula; Nagarjuna Reddy Muraka (Speech Commun., 2020)

Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging. - Amol G. Mahurkar; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2020)

Neuromorphic Fringe Projection Profilometry. - Ashish Rao Mangalore; Chandra Sekhar Seelamantula; Chetan Singh Thakur (IEEE Signal Process. Lett., 2020)

Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing. - Vinayak Killedar; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICASSP, 2021)

DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network. - Swapnil Mache; Praveen Kumar Pokala; Kusala Rajendran; Chandra Sekhar Seelamantula (CoRR, 2021)

NuSPAN: A Proximal Average Network for Nonuniform Sparse Model - Application to Seismic Reflectivity Inversion. - Swapnil Mache; Praveen Kumar Pokala; Kusala Rajendran; Chandra Sekhar Seelamantula (CoRR, 2021)

Quantized Proximal Averaging Network for Analysis Sparse Coding. - Kartheek Kumar Reddy Nareddy; Mani Madhoolika Bulusu; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CoRR, 2021)

Learning Generative Prior with Latent Space Sparsity Constraints. - Vinayak Killedar; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CoRR, 2021)

Wavelet Design in a Learning Framework. - Dhruv Jawali; Abhishek Kumar; Chandra Sekhar Seelamantula (CoRR, 2021)

Adaptive Savitzky-Golay Filtering in Non-Gaussian Noise. - Arlene John; Jishnu Sadasivan; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2021)

Artificial Intelligence Application for Effective Customer Relationship Management. - Somanchi Hari Krishna; N. Vijayanand; Achanta Suneetha; S. Mahabub Basha; S. Chandra Sekhar; A. Saranya (IC3I, 2022)

Differentiate-and-Fire Time-Encoding of Finite-Rate-of-Innovation Signals. - Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2022)

Compressive Phase Retrieval Based On Sparse Latent Generative Priors. - Vinayak Killedar; Chandra Sekhar Seelamantula (ICASSP, 2022)

An Ensemble of Proximal Networks for Sparse Coding. - Kartheek Kumar Reddy Nareddy; Swapnil Mache; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2022)

Quantization-aware phase retrieval. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition. - Praveen Kumar Pokala; Raghu Vamshi Hemadri; Chandra Sekhar Seelamantula (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training. - Siddarth Asokan; Chandra Sekhar Seelamantula (CVPR, 2023)

Quantized Proximal Averaging Networks for Compressed Image Recovery. - Kartheek Kumar Reddy Nareddy; Mani Madhoolika Bulusu; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CVPR Workshops, 2023)

A Game of Snakes and Gans. - Siddarth Asokan; Fatwir Sheikh Mohammed; Chandra Sekhar Seelamantula (ICASSP, 2023)

Multichannel Time-Encoding of Finite-Rate-of-Innovation Signals. - Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2023)

Quantized Generative Models for Solving Inverse Problems. - Kartheek Kumar Reddy Nareddy; Vinayak Killedar; Chandra Sekhar Seelamantula (ICCV (Workshops), 2023)

Data Interpolants - That's What Discriminators in Higher-order Gradient-regularized GANs Are. - Siddarth Asokan; Chandra Sekhar Seelamantula (CoRR, 2023)

GANs Settle Scores! - Siddarth Asokan; Nishanth Shetty; Aadithya Srikanth; Chandra Sekhar Seelamantula (CoRR, 2023)

Euler-Lagrange Analysis of Generative Adversarial Networks. - Siddarth Asokan; Chandra Sekhar Seelamantula (J. Mach. Learn. Res., 2023)

Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion. - Swapnil Mache; Praveen Kumar Pokala; Kusala Rajendran; Chandra Sekhar Seelamantula (IEEE Trans. Computational Imaging, 2023)

Variational Analysis of Adversarial Regularization for Solving Inverse Problems. - Abhishek Shreekant Bhandiwad; Abijith Jagannath Kamath; Siddarth Asokan; Chandra Sekhar Seelamantula (ICASSP, 2024)

Neuromorphic Sensing Meets Unlimited Sampling. - Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2024)

Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors. - Kartheek Kumar Reddy Nareddy; Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2024)

Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling. - Nishanth Shetty; Manikanta Bandla; Nishit Neema; Siddarth Asokan; Chandra Sekhar Seelamantula (ICASSP, 2024)

Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection. - Aryan N. Herur; Vaibhav Santhosh; Nishanth Shetty; Chandra Sekhar Seelamantula (ICVGIP, 2024)

EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images. - Monalisa Bakshi; Chandra Sekhar Seelamantula (UWF4DR@MICCAI, 2024)

Method of Alternating Proximations for Solving Linear Inverse Problems. - Abijith Jagannath Kamath; Kartheek Kumar Reddy Nareddy; Chandra Sekhar Seelamantula (SPCOM, 2024)

Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices. - Kartheek Kumar Reddy Nareddy; Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (SIAM J. Imaging Sci., 2024)

On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems. - Abijith Jagannath Kamath; Abhishek Shreekant Bhandiwad; Chandra Sekhar Seelamantula (ICASSP, 2025)

Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition. - Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2025)

Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks. - Kartheek Kumar Reddy Nareddy; Inbasekaran Perumal; Chandra Sekhar Seelamantula (ICASSP, 2025)

Monte Carlo Score Matching for Image Generation. - Nishanth Shetty; Chandra Sekhar Seelamantula (ICASSP, 2025)

Diffusion Model Based Image Reconstruction in Lensless Imaging. - Ashish Verma; Vivek Boominathan; Ashok Veeraraghavan; Chandra Sekhar Seelamantula (ICASSP, 2025)

DeepFRI: A Deep Plug-and-Play Technique for Finite-Rate-of-Innovation Signal Reconstruction. - Abijith Jagannath Kamath; Sharan Basav Patil; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2025)

Live Demonstration: Neuromorphic Radar for Gesture Recognition. - Satyapreet Singh Yadav; Akash K. S; Chandra Sekhar Seelamantula; Chetan Singh Thakur (CoRR, 2025)