publications

S. Asokan and C. S. Seelamantula, "Euler-Lagrange analysis of generative adversarial networks," Journal of Machine Learning Research, vol. 24, pp. 1-100, 2023. Online access: https://www.jmlr.org/papers/volume24/20-1390/20-1390.pdf.

S. Mache, P. K. Pokala, K. Rajendran, and C. S. Seelamantula, "Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion," To appear in IEEE Transactions on Computational Imaging.

J. R. Harish Kumar, C. S. Seelamantula, J. H. Gagan, Y. S. Kamath, N. I. R. Kuzhuppilly, U. Vivekanand, P. Gupta, and S. Patil, “Cháksu: A Glaucoma-specific fundus image database,” Nature Scientific Data. Online access: https:// www.nature.com/articles/s41597-023-01943-4

Mangalwedhekar R., Singh N., Thakur C.S., Seelamantula C.S., Jose M., Nair D., (2022), Achieving nanoscale precision using Neuromorphic localization microscopy, Nature Nanotechnology. Online access: https://www.nature.com/ articles/s41565-022-01291-1 

S. Mache, A. Chatterjee, K. Rajendran, and C. S. Seelamantula, “HIlbert-Huang transform and energy rate functions for earthquake source characterization — A study from the Japan Trench,” To appear in Bulletin of the Seismological Society of America, 2022. 

P. K. Pokala, R. V. Hemadri, and C. S. Seelamantula, “Iteratively reweighted minimax-concave penalty minimization for accurate low-rank plus sparse matrix decomposition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, doi: 10.1109/TPAMI.2021.3122259. 

J. Sadasivan, J. K. Dhiman, and C. S. Seelamantula, “Musical noise suppression using a low-rank and sparse matrix decomposition approach,” Speech Communication, vol. 125, pp. 41-52, December 2020. 

A. R. Mangalore, C. S. Seelamantula, and C. S. Thakur, "Neuromorphic fringe projection profilometry," To appear in IEEE Signal Processing Letters, 2020. 

S. K. Shastri, S. Rudresh, R. Anand, S. Nagesh, C. S. Seelamantula, and A. K. Thittai, "Axial super-resolution in ultrasound imaging with application to non-destructive evaluation," vol. 108, no. 106183, Elsevier Ultrasonics, December 2020. 

A. Mahurkar and C. S. Seelamantula, "Minkowski-algebra-based super-sparse array design for superresolution ultrasound imaging," To appear in IEEE Signal Processing Letters, 2020. 

S. Mukherjee and C. S. Seelamantula, "Quantization-aware phase retrieval," Special issue on Mathematical Optics, Imaging, and Applications, International Journal of Wavelets, Multiresolution, and Information Processing (Invited paper), 2020. 

J. R. Harish Kumar, C. S. Seelamantula, A. Mohan, R. Shetty, T. J. M. Berendschot, and C. A. B. Webers, "Automatic analysis of normative retinal oximetry images," PLoS ONE, May 2020.  

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula, "Signal denoising using the minimum-probability-oferror criterion," vol. 9, e3, APSIPA Transactions on Signal and Information Processing, January 2020. 

J. R. Harish Kumar, C. S. Seelamantula, Y. S. Kamath, and R. Jampala, "Rim-to-disc ratio outperforms cup-todisc ratio for glaucoma prescreening," Nature Scientific Reports, 9:7099, 2019. 

J. Sadasivan, C. S. Seelamantula, N. R. Muraka, "Speech enhancement using a risk estimation approach," vol. 116, pp. 12-29, Speech Communication, January 2020. 

H. Sundar, T. V. Sreenivas, and C. S. Seelamantula, “TDOA-based multiple source localization without association ambiguity,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 11, pp. 1976-1990, November 2018. 

B. A. Shenoy, S. Mulleti, and C. S. Seelamantula, “On 2-D Hilbert integral equations, generalized minimumphase signals, and phase retrieval,” IEEE Transactions on Signal Processing, vol. 66, no. 14, pp. 3906-3917, July 15, 2018. 

S. Mukherjee and C. S. Seelamantula, “Phase retrieval from binary measurements,” IEEE Signal Processing Letters, pp. 348-352, vol. 25, no. 3, March 2018. 

S. Rudresh, S. Nagesh, and C. S. Seelamantula, “Asymmetric pulse modeling for FRI sampling,” vol. 66, no. 8, pp. 2027-2040, IEEE Transactions on Signal Processing, 2018. 

K. S. Chandran, C. S. Seelamantula, and S. Ray, “Duration analysis using matching pursuit algorithm reveals longer bouts of gamma rhythm,”  vol. 119, pp. 808-821, Journal of Neurophysiology, 2018. 

A. Bhowmik, S. Shit, and C. S. Seelamantula, “Training-free, single-image super-resolution using a dynamic convolutional network,” IEEE Signal Processing Letters, vol. 25, no. 1, pp. 85-89, Jan. 2018. This article featured in the Top 10 popular articles of IEEE Signal Processing Letters for three consecutive months (including early access).

S. Mulleti, A. Singh, V. Brahmkhatri, K. Chandra, T. Raza, S. P. Mukherjee, C. S. Seelamantula, and H. S. Atreya, “Super-resolved nuclear magnetic resonance spectroscopy,” Article No. 9651, Nature Scientific Reports, 2017.

S. Mulleti and C. S. Seelamantula, “Paley-Wiener characterization of kernels for finite-rate-of-innovation sampling,” IEEE Transactions on Signal Processing, vol. 65, no. 22, pp. 5860-5872, 2017. 

S. Rudresh and C. S Seelamantula, “Finite-rate-of-innovation-based super-resolution radar imaging,” IEEE Transactions on Signal Processing, vol. 65, no. 19, pp. 5021-5033, 2017. 

A. Chaturvedi, S. K. Nagaraj, S. S. Gorthi, and C. S. Seelamantula, “An efficient microscale technique for determining the erythrocyte sedimentation rate,”  Journal of the Society for Laboratory Automation and Screening (SLAS) Technology, vol. 22, no. 5, pp. 565-572, 2017.

A. S. Murthy, C. S. Seelamantula, and T. V. Sreenivas, “Optimum short-time polynomial regression for signal analysis,” Sadhana Journal of the Indian Academy of Sciences, vol. 41, no. 11, pp. 1245-1260, Nov. 2016.

S. Mulleti, B. A. Shenoy, and C. S. Seelamantula, “FRI sampling on structured nonuniform grids — Application to super-resolved optical imaging,” IEEE Transactions on Signal Processing, vol. 64, no. 15, pp. 3841-3853, 2016. 

K. Upadhya, C. S. Seelamantula, and K. V. S. Hari, “A risk minimization framework for channel estimation in OFDM systems,” Signal Processing (Elsevier), pp. 78-87, vol. 128, 2016. 

B. A. Shenoy, S. Mulleti, and C. S. Seelamantula, “Exact phase retrieval in principal shift-invariant spaces,” IEEE Transactions on Signal Processing, vol. 64, no. 2, pp. 406-416, 2016. This article featured on the coverpage of the IEEE Transactions on Signal Processing January/February 2016 issue. 

S. Mulleti and C. S. Seelamantula, “Ellipse fitting using the finite-rate-of-innovation sampling principle,” IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1451-1464, 2016. 

S. Mukherjee, R. Basu, and C. S. Seelamantula, “L1-K-SVD: A robust dictionary learning algorithm with simultaneous update,” Signal Processing (Elsevier), vol. 123, pp. 42-52, 2016. 

R. Shenoy and C. S. Seelamantula, “A zero-crossing rate property of power complementary analysis f ilterbank outputs,” IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2354-2358, 2015. 

H. Kishan and C. S. Seelamantula, “Patch-based and multiresolution optimum bilateral filters for denoising images corrupted by Gaussian noise,” SPIE Journal of Electronic Imaging, vol. 24(5), pp. 053021-1 — 053021-15, Sept./Oct. 2015.

. M. Venkatesh, K. Mohan, and C. S. Seelamantula, “Directional bilateral filters for smoothing fluorescence microscopy images,” Invited article, American Institute of Physics (AIP) Advances Special Issue on Emerging Topics in Fluorescence Microscopy and Imaging, vol. 5, 084805-1 — 084805-17, 2015.

H. Aragonda and C. S. Seelamantula, “Demodulation of narrowband speech spectrograms using the Riesz transform,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 23, no. 11, pp. 1824, 2015. 

B. A. Shenoy and C. S. Seelamantula, “Exact phase retrieval for a class of 2-D parametric signals,” IEEE Transactions on Signal Processing, vol. 63, no. 1, pp. 90-103, 2015. 

R. R. Shenoy and C. S. Seelamantula, “Spectral zero-crossings — Localization properties and applications,” IEEE Transactions on Signal Processing, vol. 63, no. 12, pp. 3177-3190, 2015. 

C. S. Seelamantula and S. Mulleti, “Super-resolution reconstruction in frequency-domain optical-coherence tomography,” IEEE Transactions on Signal Processing, vol. 62, no. 19, pp. 5020-5029, 2014. 

S. Mukherjee and C. S. Seelamantula, “Fienup algorithm with sparsity constraints: Application to frequencydomain optical-coherence tomography,” IEEE Transactions on Signal Processing, vol. 62, no. 18, pp. 4659-4672, 2014. 

C. S. Seelamantula and R. R. Shenoy, “A contraction mapping approach for robust estimation of lagged autocorrelation,” vol. 21, no. 9, pp. 1054-1058, IEEE Signal Processing Letters, 2014. 

A. Venkitaraman and C. S. Seelamantula, “Binaural signal processing motivated generalized analytic signal construction and AM-FM demodulation,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 22, no. 6, pp. 1023-1036, 2014. 

S. R. Krishnan, C. S. Seelamantula, and P. Chakravarti, “Spatially adaptive kernel regression using risk minimization,” vol. 21, no. 4, pp. 445-448, IEEE Signal Processing Letters. 

S. Agnihotri, P. V. D. S. Sundeep, C. S. Seelamantula, and R. Balakrishnan, “Quantifying vocal mimicry in the Greater Racket-tailed Drongo: A comparison of automated methods and human assessment,” Public Library of Sciences One (PLoS 1) Biology, vol. 9, no. 3, e89540, March 2014. 

A. Venkitaraman, A. Adiga, and C. S. Seelamantula, “Auditory motivated Gammatone wavelet transform,” Signal Processing journal (Elsevier), vol. 94, pp. 608-619, January 2014. 

A. Venkitaraman and C. S. Seelamantula, “Fractional Hilbert transform extensions and associated analytic signal construction,” Signal Processing journal (Elsevier), vol. 94, pp. 359-372, January 2014. 

T. Lasser and C. S. Seelamantula, “Extended-focus optical-coherence microscopy — Structural and functional imaging, from tissue to cell,” Invited article, November 15, 2013, Biophotonics magazine.

A. Venkitaraman and C. S. Seelamantula, “On computing the amplitude, phase, and frequency modulations using a vector interpretation of the analytic signal,” IEEE Signal Processing Letters, vol. 20, no. 12, pp. 1187-1190, December 2013. This article also featured in the top 25 popular articles of IEEE Signal Processing Letters. 

A. Venkitaraman and C. S. Seelamantula, “Temporal envelope fit of transient audio signals,” IEEE Signal Processing Letters, vol. 20, no. 12, pp. 1191-1194, December 2013.  

C. S. Seelamantula and T. Lasser, “Hilbert transform relations in frequency-domain optical-coherence tomographic imaging,” Invited article, vol. 93, no. 1, pp. 139-148, January-March 2013, Journal of the Indian Institute of Science, Special issue on Imaging and Microscopy. 

R. R. Shenoy and C. S. Seelamantula, “Spectral-envelope—group-delay models for transients,”  Journal of Acoustical Society of America, vol. 33, issue 5, pp. 2788-2802, 2013. 

S. R. Krishnan, M. M. Doss, and C. S. Seelamantula, “A Savitzky-Golay filtering perspective of dynamic feature computation,” IEEE Signal Processing Letters, vol. 20, no. 3, pp. 281-284, 2013. 

S. R. Krishnan and C. S. Seelamantula, “On the selection of optimum Savitzky-Golay filters,” vol. 61, issue 2, pp. 380-391, IEEE Transactions on Signal Processing, 2013. 

S. R. Krishnan and C. S. Seelamantula, “SURE-optimal bandwidth selection in nonparametric regression,” vol. 11, no. 2-3, pp. 133-163, Special issue on Sampling Theory and Applications, Sampling Theory in Signal and Image Processing journal, 2012. 

S. Mukherjee and C. S. Seelamantula, “A non-iterative phase retrieval algorithm for minimum-phase signals using the annihilating filter,” vol. 11, no. 2-3, pp. 165-193, Special issue  on Sampling Theory and Applications, Sampling Theory in Signal and Image Processing journal, 2012.  

R. Nayak and C. S. Seelamantula, “Optimal sparsifying bases for frequency-domain optical-coherence tomography,” Optics Letters, vol. 37, issue 23, pp. 4907-4909, 2012. 

C. S. Seelamantula, N. Pavillon, C. Depeursinge, and M. Unser, “Local demodulation of holograms using the Riesz transform with application to microscopy,” Journal of Optical Society of America (A), vol. 29, issue 10, pp. 2118-2129, 2012.

A. Venkitaraman and C. S. Seelamantula, “A technique to compute smooth amplitude, phase, and frequency modulations from the analytic signal,” IEEE Signal Processing Letters, vol. 19, no. 10, pp. 623-626, October 2012. 

S. R. Krishnan, C. S. Seelamantula, A. Bouwens, M. Leutenegger, and T. Lasser, “A zero-crossing approach to high-resolution reconstruction in frequency-domain optical-coherence tomography,” Journal of Optical Society of America (A), vol. 29, issue 10, pp. 2080-2091, 2012. 

H. Sundar, C. S. Seelamantula, and T. V. Sreenivas, “A mixture model approach for formant tracking and the robustness of Student's-t distribution,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 10, pp. 2626-2636, 2012. 

R. Delgado-Gonzalo, P. Thévenaz, C. S. Seelamantula, and M. Unser, “Snakes with an ellipse-reproducing property,” IEEE Transactions on Image Processing, vol. 21, no. 3, pp. 1258-1271, March 2012. 

C. S. Seelamantula, N. Pavillon, C. Depeursinge, and M. Unser, “Exact complex wave reconstruction in digital holography,” Journal of the Optical Society of America A, vol. 28, no. 6, pp. 983-992, June 2011. This article also featured in the Editor-in-Chief’s choice and was selected for additional publication in the virtual journal for biomedical optics (VJBO). This article featured among the most downloaded articles in Holography of the Optical Society of America publishing. 

T. Binzoni, C. S. Seelamantula, and D. Van De Ville, “A fast time-domain algorithm for the assessment of tissue blood flow in laser-Doppler flowmetry,” Physics in Medicine and Biology, vol. 55, pp. N383-N394, June 2010. 

N. Ducros, A. Da Silva, J-M. Dinten, C. S. Seelamantula, M. Unser, and F. Peyrin, “A time-domain waveletbased approach for fluorescence diffuse optical tomography,” Medical Physics, vol. 37, no. 6, pp. 2890-2900, June 2010. 

C. S. Seelamantula and M. Unser, “Performance analysis of reconstruction techniques for frequencydomain optical-coherence tomography,” IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1947-1951, March 2010. 

N. Pavillon, C. S. Seelamantula, J. Kühn, M. Unser, and C.  Depeursinge, “Suppression of the zero-order term in off-axis digital holography through nonlinear filtering,” Special issue on Digital Holography, Applied Optics, 48, pp. H186-H195, December 2009. This article also featured in the Editor-in-Chief’s choice and was selected for additional publication in The Virtual Journal for Biomedical Optics, vol. 5, issue no. 1, January 5, 2010.

. S. Nair, R. Balakrishnan, C. S. Seelamantula, and R. Sukumar, “Vocalizations of wild Asian elephants (Elephas maximus): Structural classification and social context,” Journal of Acoustic Society of America, vol. 126, no. 5, pp. 2768-2778, Nov. 2009. 

C. S. Seelamantula and T. V. Sreenivas, “Blocking artifacts in speech/audio — Dynamic auditory perception and time-frequency filtering,” Signal processing, vol. 89, no. 4, pp. 523-531, April 2009. 

C. S. Seelamantula and M. Unser, “A generalized sampling method for finite-rate-of-innovation-signal reconstruction,” IEEE Signal Processing Letters, vol. 15, pp. 813-816, 2008. 

C. S. Seelamantula, A. H. Bachmann, M. L. Villiger, R. A. Leitgeb, and M. Unser, “Exact and efficient signal reconstruction in frequency-domain optical-coherence tomography,” Journal of the Optical Society of America (A), vol. 25, no. 7, pp. 1762-1771, July 2008. This article has also been selected for publication (Editor-in-Chief’s choice) in The Virtual Journal for Biomedical Optics, vol. 3, no. 8, August 18, 2008.

R. A. Leitgeb, R. Michaely, T. Lasser, and S. Chandra Sekhar, “Complex-ambiguity-free Fourier-domain optical-coherence tomography through transverse scanning,” Optics Letters, vol. 32, no. 23, pp. 3453-3455, December 2007. This article has also been selected for publication (Editor-in-Chief’s choice)  in The Virtual Journal for Biomedical Optics, vol. 3, no. 1, January 29, 2008. 

S. Chandra Sekhar and T. V. Sreenivas, “Signal-to-noise-ratio estimation based on higher-order moments,” Signal Processing, vol. 86, no. 4, pp. 716-732, 2006. 

S. Chandra Sekhar and T. V. Sreenivas, “Auditory motivated level-crossing approach to instantaneous frequency estimation,” IEEE Transactions on Signal Processing, vol. 53, no. 4, pp. 1450-1562, April 2005. 

S. Chandra Sekhar and T. V. Sreenivas, “Effect of interpolation in the implementation of polynomial Wigner-Ville distribution for instantaneous frequency estimation,” Signal Processing, vol. 84, issue 1, pp. 107-116, January 2004. 

S. Chandra Sekhar and T. V. Sreenivas, “Adaptive window zero-crossing-based instantaneous frequency estimation,” EURASIP Journal of Applied Signal Processing, Special Issue on Non-linear Signal and Image Processing, vol. 12, pp. 1791-1806, 2004. 

S. Chandra Sekhar and T. V. Sreenivas, “Adaptive spectrogram Vs. adaptive pseudo Wigner-Ville distribution for instantaneous frequency estimation,” Signal Processing, vol. 83, issue 7, pp. 1529-1543, July 2003. 

S. Asokan and C. S. Seelamantula, “Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training,” Accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. 

S. Asokan, F. S. Mohammed, and C. S. Seelamantula, “A game of snakes and GANs,” To appear in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. 

A. J. Kamath and C. S. Seelamantula, “Mutlichannel time-encoding of finite-rate-of-innovation signals,” To appear in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. 

K. K. R. Nareddy, S. Mache, P. K. Pokala, and C. S. Seelamantula, “An ensemble of proximal networks for sparse coding,” Proc. IEEE International Conference on Image Processing (ICIP), 2022. 

A. Kamath and C. S. Seelamantula, “Differentiate-and-fire time-encoding of finite-rate-of-innovation signals,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.  

S. Asokan and C. S. Seelamantula, “Teaching a GAN what not to learn,” Proceedings of Neural Information Processing Systems (NeurIPS), 2020. 

P. K. Pokala, S. Chemudupati, and C. S. Seelamantula, "Generalized fast iteratively reweighted softthresholding algorithm for sparse coding under tight frames in the complex domain," Proceedings of IEEE International Conference on Image Processing (ICIP), 2020. 

S. Srinath, S. Rudresh, C. S. Seelamantula, G. Hareesh, P. Murali Krishna, "Nyquist pulses for sub-Nyquist sampling — Application to underwater imaging," Proceedings of IEEE International Conference on Image Processing (ICIP), 2020. 

P. K. Pokala and C. S. Seelamantula, "Project improved FISTA and application to image deblurring," Proceedings of IEEE International Conference on Image Processing (ICIP), 2020. 

D. Jawali, P. K. Pokala, and C. S. Seelamantula, "CORNET: Composite regularized neural network for convolutional sparse coding," Proceedings of IEEE International Conference on Image Processing (ICIP), 2020.

S. Chemudupati, P. K. Pokala, and C. S. Seelamantula, "Non-convex optimization for sparse interferometric phase estimation," Proceedings of IEEE International Conference on Image Processing (ICIP), 2020.

V. Kishore, S. Mukherjee, and C. S. Seelamantula, “PhaseSense — Signal reconstruction from phase-only measurements via quadratic programming," Proceedings of International Conference on Signal Processing and Communications (SPCOM), Bangalore, July 20-23, 2020.

P. K. Pokala and C. S. Seelamantula, "Accelerated weighted l1 minimization for MRI reconstruction under tight frames in Complex-Domain," Proceedings of International Conference on Signal Processing and Communications (SPCOM), Bangalore, July 20-23, 2020. 

V. Kishore and C. S. Seelamantula, "Wirtinger flow algorithms for phase retrieval from binary measurements," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. 

P. K. Pokala, P. K. Uttam, and C. S. Seelamantula, "ConFirmNet: Convolutional FirmNet and application to image denoising and inpainting," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. Invited paper to a special session on “Learning Based Inversion.” 

P. Kulkarni, J. Sadasivan, A. Adiga, and C. S. Seelamantula, "Epoch extraction from a speech signal using gammatone wavelets in a scattering network," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. 

S. Rudresh, A. J. Kamath, and C. S. Seelamantula, "A time-based sampling framework for finite-rate-ofinnovation signals," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. 

P. K. Pokala, S. Chemudupati, and C. S. Seelamantula, "Adaptive weighted minimax-concave penalty based dictionary learning for brain magnetic resonance images," Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2020. 

P. Kevin Raj, A. Manjunath, J.R. Harish Kumar, and C. S. Seelamantula, "Automatic classification of arteryvein from a single wavelength fundus image," Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2020. 

S. Paul, H. D. Gundabattula, C. S. Seelamantula, V. R. Mujeeb, and A. S. Prasad, "Fully automated semantic segmentation of wireless capsule endoscopy abnormalities," Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2020. 

P. Kevin Raj, J. R. Harish Kumar, S. Jois, S. Harsha, and C. S. Seelamantula, "A structure tensor based Voronoi decomposition technique for optic cup segmentation," Proceedings of IEEE International Conference on Image Processing (ICIP), September 22-25, 2019, Taipei, Taiwan.

D. Mohan, J. R. Harish Kumar, and C. S. Seelamantula, "Optic disc segmentation using cascaded multiresolution convolutional neural networks," Proceedings of IEEE International Conference on Image Processing (ICIP), September 22-25, 2019, Taipei, Taiwan. 

S. K. Shastri, A. Ramkumar, S. Rudresh, S. Nagesh, A. K. Thittai, D. Mazumder, and C. S. Seelamantula, "Axial super-resolution in ultrasound imaging," Proceedings of IEEE International Ultrasonics Symposium, October 6-9, 2019, Glasgow, Scotland. 

P. K. Pokala, A. G. Mahurkar, and C. S. Seelamantula, "FirmNet: A sparsity amplified deep network deep network for solving linear inverse problems," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019. 

A. G. Mahurkar, P. K. Pokala, C. S. Thakur, and C. S. Seelamantula, "SAMIR: Sparsity amplified iteratively reweighted beamforming for high-resolution ultrasound imaging," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019. 

J. K. Dhiman and C. S. Seelamantula, "A spectro-temporal technique for estimating aperiodicity and voiced/ unvoiced decision boundaries of speech signals," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019. 

D. Jawali, A. Kumar, and C. S. Seelamantula, "A learning approach for wavelet design," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019. 

S. Dey, K. Tahiliani, J. R. Harish Kumar, A. K. Pediredla, and C. S. Seelamantula, "Automatic segmentation of optic disc using affine snakes in gradient vector field," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019.

 J. R. Harish Kumar, K. Teotia, P. K. Raj, J. Andrade, K. V. Rajagopal, and C. S. Seelamantula, "Automatic segmentation of common carotid in longitudinal mode ultrasound images using active oblongs," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019. 

A. Kamath, S. Rudresh, and C. S. Seelamantula, "FRI modeling of Fourier descriptors," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019.

A. G. Mahurkar, P. Pokala, and C. S. Seelamantula, "Iteratively reweighted beamforming for high-resolution ultrasound imaging," Proceedings of IEEE International Symposium on Biomedical Imaging 2019, April 8-11, 2019, Venice, Italy. 

V. Sadasivan and C. S. Seelamantula, "High-accuracy patch-level classification of wireless capsule endoscopy images using a convolutional neural network," Proceedings of IEEE International Symposium on Biomedical Imaging 2019, April 8-11, 2019, Venice, Italy. 

A. Sainathan and C. S. Seelamantula, "Phase retrieval — A deconvolution perspective," Proceedings of AsiaPacific Signal and Information Processing Association Annual Summit and Conference (APSIPA - ASC), November 12-15, 2018, Honolulu. Invited paper. 

H. Sridhar, J. R. Harish Kumar, S. Jois, and C. S. Seelamantula, “An unconstrained ellipse fitting technique and application to optic cup segmentation,” Proceedings of 2018 IEEE GlobalSIP Advanced Bio-Signal Processing and Machine Learning for Medical Cyber-Physical Systems. 

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula, “Speech enhancement using the minimum-probabilityof-error criterion,” Proceedings of Interspeech 2018, September 2-6, 2018. 

J. Dhiman, N. Sharma, and C. S. Seelamantula, “Multicomponent 2-D AM-FM modeling of speech spectrograms,” Proceedings of Interspeech 2018, September 2-6, 2018. 

A. Sainathan, S. Rudresh, and C. S. Seelamantula, “An optimization framework for reconstruction of speech from a phase-encoded speech spectrogram,” Proceedings of Interspeech 2018, September 2-6, 2018. 

S. Mukherjee and C. S. Seelamantula, “Phase retrieval from binary measurements,” IEEE Signal Processing Letters publication selected for presentation at IEEE International Conference on Image Processing (ICIP), October 7-10, 2018. 

A. De and C. S. Seelamantula, “Design of sampling kernels and sampling rates for two-dimensional finiterate-of-innovation signals,” Proceedings of IEEE International Conference on Image Processing (ICIP) 2018, October 7-10, 2018. 

D. Mohan, J. R. Harish Kumar, and C. S. Seelamantula, “High-performance optic disc segmentation using convolutional neural networks,” Proceedings of IEEE International Conference on Image Processing (ICIP) 2018, October 7-10, 2018.

J. R. Harish Kumar, C. S. Seelamantula, J. Andrade, and K. V. Rajagopal, “Automatic segmentation of lumen intima layer in transverse mode ultrasound images,” Proceedings of IEEE International Conference on Image Processing (ICIP) 2018, October 7-10, 2018. 

S. Mukherjee, A. K. Sekuboyina, and C. S. Seelamantula, “Binary compressive sensing and super-resolution with an unknown threshold,” Proceedings of International Conference on Signal Processing and Communications (SPCOM) 2018, July 16-19, 2018. 

S. Mukherjee and C. S. Seelamantula, “A singular-value relaxation technique for learning sparsifying transforms,” Proceedings of International Conference on Signal Processing and Communications (SPCOM) 2018, July 16-19, 2018. 

S. Mulleti, A. Singh, H. S. Atreya, and C. S. Seelamantula, “High-resolution nuclear magnetic resonance spectroscopy using the autocorrelation method,” Focus on Microscopy 2018, March 25-28, 2018, Singapore. 

B. A. Shenoy and C. S. Seelamantula, “Homomorphic deconvolution for quantitative phase microscopy,” Focus on Microscopy 2018, March 25-28, 2018, Singapore. 

A. Bhowmik, A. Adiga, C. S. Seelamantula, F. Hauser, J. Jacak, and B. Heise, “Localization microscopy using deep neural networks,” Focus on Microscopy 2018, March 25-28, 2018, Singapore. 

S. Mukherjee and C. S. Seelamantula, “Sparse phase retrieval algorithms for frequency-domain opticalcoherence tomography,” Focus on Microscopy 2018, March 25-28, 2018, Singapore. 

S. Mulleti, B. Heise, G. Hannesschlaeger, and C. S. Seelamantula, “High-resolution frequency-domain opticalcoherence tomography from low-resolution acquisition,” Focus on Microscopy 2018, March 25-28, 2018, Singapore. 

S. Rudresh, A. Adiga, B. A. Shenoy, and C. S. Seelamantula, “Wavelet based reconstruction for unlimited sampling,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2018, April 15-20, 2018, Calgary, Alberta, Canada. 

S. Mukherjee, S. Shit, and C. S. Seelamantula, “PhaseSplit: A variable splitting framework for phase retrieval,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2018, April 15-20, 2018, Calgary, Alberta, Canada. 

A. Bhowmik, A. Adiga, C. S. Seelamantula, F. Hauser, J. Jacak and B. Heise, “Bayesian deep deconvolutional neural networks,” NIPS 2017 Workshop on Bayesian Deep Learning, December 9, 2017, Long Beach Convention Center, Long Beach, US.

S. Mukherjee, D. Mahapatra, and C. S. Seelamantula, “Deep neural networks for sparse coding and dictionary learning,” NIPS 2017 Workshop on Bayesian Deep Learning, December 9, 2017, Long Beach Convention Center, Long Beach, US. 

J. R. Harish Kumar, S. Harsha, Y. Kamath, R. Jampala, and C. S. Seelamantula, “Automatic optic cup segmentation using Kasa's circle fitting technique,” Proceedings of IEEE Region 10 Conference (TENCON), 2017. 

J. K. Dhiman, N. Adiga, and C. S. Seelamantula, “A spectro-temporal demodulation technique for pitch estimation,” Proceedings of Interspeech 2017, August 20-24, 2017, Stockholm, Sweden. 

K. Vijayan, J. K. Dhiman, and C. S. Seelamantula, “Time-frequency coherence for periodic-aperiodic decomposition of speech signals,” Proceedings of Interspeech 2017, August 20-24, 2017, Stockholm, Sweden. 

J. R. Harish Kumar, R. Adhikari, Y. Kamath, R. Jampala, and C. S. Seelamantula, “Automatic delineation of macular regions based on a locally defined contrast function,” Proceedings of IEEE International Conference on Image Processing (ICIP) 2017, Beijing, China, September 17-20, 2017. 

S. Mukherjee and C. S. Seelamantula, “Learning transforms with a specified condition number,” Proceedings of Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017, June 5-8, 2017, Lisbon, Portugal. 

S. T. Devarakota, A. K. Sekuboyina, and C. S. Seelamantula, “A convolutional neural network approach for abnormality detection in wireless capsule endoscopy,” Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI) 2017, Melbourne, Australia, April 18-21, 2017. 

A. Gupta, S. V. Gubbi, C. S. Seelamantula, “How much can a Gaussian smoother denoise?”  ACM Proceedings of the Tenth Indian Conference on Computer Vision, Graphics, and Image Processing 2016, Guwahati, December 18-22, 2016. 

A. Gupta, K. Subramanian, C. S. Seelamantula, “A distribution-independent risk estimator for image denoising,” ACM Proceedings of the Tenth Indian Conference on Computer Vision, Graphics, and Image Processing 2016, Guwahati, December 18-22, 2016. 

K. S. Chandran, C. S. Seelamantula, S. Ray, “Duration analysis of the Gamma rhythm — Too short to be a reference!,” Bernstein Conference, Berlin, September 21-23, 2016. 

C. S. Seelamantula, “Phase-encoded speech spectrograms,” Proceedings of Interspeech, San Francisco, United States, September 8-12, 2016. 

J. Sadasivan and C. S. Seelamantula, “A novel risk-estimation-theoretic framework for speech enhancement in nonstationary and non-Gaussian noise conditions,” Proceedings of Interspeech, San Francisco, United States, September 8-12, 2016. 

H. Sundar, G. D. Manavalan, T. V. Sreenivas and C. S. Seelamantula, “Reverberation-robust one-bit TDOA based moving source localization for automatic camera steering,” Proceedings of Interspeech, San Francisco, United States, September 8-12, 2016. 

B. C. Aravind, S. K. Nagaraj, C. S. Seelamantula, S. S. Gorthi, “Active-disc-based Kalman filter technique for tracking of blood cells in microfluidic channels,” Proceedings of IEEE International Conference on Image Processing (ICIP), September 25-28, Phoenix, Arizona, 2016.

J. R. Harish Kumar, C. S. Seelamantula, N. S. Narayan, and P. Marziliano, “Automatic segmentation of common carotid artery in transverse mode,” Proceedings of IEEE International Conference on Image Processing (ICIP), September 25-28, Phoenix, Arizona, 2016. 

S. Mukherjee and C. S. Seelamantula, “Convergence analysis of smoothed LASSO,”  Proceedings of National Conference on Communications (NCC) 2016, IIT Guwahati, March 4-6, 2016. 

A. K. Sekuboyina and C. S. Seelamantula, “An efficient formulation and parameter selection for multiple image super-resolution,”  Proceedings of National Conference on Communications (NCC) 2016, IIT Guwahati, March 4-6, 2016. 

S. Mulleti and C. S. Seelamantula, “Sampling and reconstruction of time-limited signals using sum-of-sincs kernel,” Proceedings of National Conference on Communications (NCC) 2016, IIT Guwahati, March 4-6, 2016. 

P. Narayanamurthy, G. Sreedevi, and C. S. Seelamantula, “Efficient resampling of speech/audio signals,” Proceedings of National Conference on Communications (NCC) 2016, IIT Guwahati, March 4-6, 2016. 

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula, “Joint dictionary training for bandwidth extension of speech signals,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, March 20-25, 2016.

J. Sadasivan and C. S. Seelamantula, “An unbiased risk estimator for Gaussian mixture noise distributions — Application to speech denoising,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, March 20-25, 2016.

S. Mukherjee and C. S. Seelamantula, “A divide-and-conquer dictionary learning algorithm and its performance analysis,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, March 20-25, 2016. 

J. R. Harish Kumar, A. K. Pediredla, and C. S. Seelamantula, “Active discs for automated optic disc segmentation,” Proceedings of IEEE GlobalSIP, Orlando, Florida, December 14-16, 2015. 

P. Kurpad and C. S. Seelamantula, “Dictionary-learning-based post-filter for HMM-based speech synthesis,” Proceedings of IEEE Region 10 Conference (TENCON), Macau, November 1-4, 2015. 

C. S. Seelamantula and T. Blu, “Image denoising in multiplicative noise,” Proceedings of IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, September 27-30, 2015. 

S. Mukherjee and C. S. Seelamantula, “Smoothing does not improve the convergence rate of LASSO,” Proceedings of SPARS 2015.

A. Adiga, S. Mulleti, S. Prasad, and C. S. Seelamantula, “Two-dimensional FRI signal reconstruction using blind deconvolution,” 11th International Conference on Sampling Theory and Applications (SampTA), Washington, United States, May 25-29, 2015.

S. Nagesh and C. S. Seelamantula, “An FRI model for asymmetric pulse trains and characterization of ventricular hypertrophy condition,” Invited paper to a special session on Sampling Signals with Finite Rate of Innovation in Biomedical Applications, 11th International Conference on Sampling Theory and Applications (SampTA), Washington, United States, May 25-29, 2015.

S. Nagesh and C. S. Seelamantula, “FRI sampling and reconstruction of asymmetric pulses,” Proceedings of the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 19-24, 2015. 

M. Venkatesh and C. S. Seelamantula, “Directional bilateral filters,” Proceedings of the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 19-24, 2015.

S. Mulleti and C. S. Seelamantula, “Periodic nonuniform sampling for FRI signals,” Proceedings of the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 19-24, 2015.

C. S. Seelamantula, B. A. Shenoy, S. Coquoz, and T. Lasser, “Exact reconstruction in quantitative phase microscopy,” Proceedings of the 21st IEEE International Conference on Image Processing (ICIP), Paris, October 27-30, 2014.

S. Srinivas, A. Adiga, and C. S. Seelamantula, “Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition,” Proceedings of the 21st IEEE International Conference on Image Processing (ICIP), Paris, October 27-30, 2014. 

S. Mulleti, S. Nagesh, R. Langoju, A. Patil, and C. S. Seelamantula, “Ultrasound image reconstruction using the finite-rate-of-innovation principle,”  Proceedings of the 21st IEEE International Conference on Image Processing (ICIP), Paris, October 27-30, 2014. Top 10% ICIP Paper Award. 

S. Menon and C. S. Seelamantula, “Robust Savitzky-Golay filters,” Proceedings of the 19th International Workshop on Digital Signal Processing, Hong Kong, August 20-23, 2014. 

B. Panisetti, T. Blu, and C. S. Seelamantula, “An unbiased risk estimator for multiplicative noise -- Application to 1-D signal denoising,” Proceedings of the 19th International Workshop on Digital Signal Processing, Hong Kong, August 20-23, 2014. 

S. Mukherjee and C. S. Seelamantula, “A split-and-merge dictionary learning algorithm for sparse representation - Application to image denoising,” Proceedings of the 19th International Workshop on Digital Signal Processing, Hong Kong, August 20-23, 2014. 

A. Adiga and C. S. Seelamantula, “An alternating lp-l2 projections algorithm (ALPA) for speech modeling using sparsity constraints,” Proceedings of the 19th International Workshop on Digital Signal Processing, Hong Kong, August 20-23, 2014. 

S. R. Krishnan and C. S. Seelamantula, “Optimum parameter selection in sparse reconstruction of frequency-domain optical-coherence tomography signals,” Proceedings of the 19th International Workshop on Digital Signal Processing, Hong Kong, during August 20-23, 2014.

S. Mulleti and C. S. Seelamantula, “Ellipse fitting using finite-rate-of-innovation principles,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014.

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula, “An optimum shrinkage estimator based on minimum probability of error criterion and application to signal denoising,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014. 

S. Nagesh, S. Mulleti, and C. S. Seelamantula, “On the role of the Hilbert transform in boosting the performance of the annihilating filter,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014.

R. R. Shenoy and C. S. Seelamantula, “Frequency-domain linear prediction using temporal analysis,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014. 

S. Gurugopinath, C. R. Murthy, and C. S. Seelamantula, “Zero-crossings based spectrum sensing under noise uncertainties,” Proceedings of National Conference on Communications 2014, IIT Kanpur, February 28 - March 2, 2014. 

A. Adiga, M. Magimai-Doss, C. S. Seelamantula, “Gammatone wavelet cepstral coefficients for robust speech recognition,” Proceedings of IEEE Region 10 Conference (TENCON), Xi’an, China, October 22-25, 2013. 

B. Vishwanath and C. S. Seelamantula, “Cell tracking using particle filters and level sets,” Proceedings of IEEE Region 10 Conference (TENCON), Xi’an, China, October 22-25, 2013. 

S. V. Menon and C. S. Seelamantula, “SURE-optimal two-dimensional Savitzky-Golay filters for image denoising,” Proceedings of IEEE International Conference on Image Processing (ICIP), Melbourne, September 15-18, 2013. 

B. A. Shenoy, S. Mukherjee, and C. S. Seelamantula, “Phase retrieval for a class of 2-D signals characterized by first-order difference equations,” Proceedings of IEEE International Conference on Image Processing (ICIP), Melbourne, September 15-18, 2013. 

A. Jose, S. R. Krishnan, and C. S. Seelamantula, “Ridge detection using Savitzky-Golay filtering and steerable second-order Gaussian derivatives,” Proceedings of IEEE International Conference on Image Processing (ICIP), Melbourne, September 15-18, 2013. 

J. K. Mogali, N. Nallapareddy, C. S. Seelamantula, and M. Unser, “A shape-template based two-stage corpus callosum segmentation technique for sagittal plane T1-weighted brain magnetic resonance images,” Proceedings of IEEE International Conference on Image Processing (ICIP), Melbourne, September 15-18, 2013.

S. Mulleti, B. A. Shenoy, and C. S. Seelamantula, “Sparse signal recovery in shift-invariant spaces,” Proceedings of Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Lausanne, Switzerland, July 8-11, 2013. 

S. Mukherjee and C. S. Seelamantula, “Fixed-point algorithms for sparse-signal phase retrieval,” Proceedings of Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Lausanne, Switzerland, July 8-11, 2013. 

A. Jose and C. S. Seelamantula, “Bilateral edge detectors,” Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, May 26-31, 2013. 

H. Aragonda and C. S. Seelamantula, “Riesz-transform-based demodulation of narrowband speech spectrograms,” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, May 26-31, 2013. 

S. Ghose, S. Hampali, and C. S. Seelamantula, “Estimation of linearly frequency modulated chirp signal parameters using instantaneous autocorrelation,” Proceedings of IET Radar Conference, Xi'an, China, April 14-16, 2013. 

S. Mulleti, B. Ajay Shenoy, and C. S. Seelamantula, “A multichannel sampling method for 2-D finite-rate-ofinnovation signals,” Proceedings of IEEE International Conference on Electronics, Computing, and Communication Technologies (CONECCT), Bangalore, January 17-19, 2013.

S. R. Krishnan and C. S. Seelamantula, “A generalized Stein's estimation approach for speech enhancement based on perceptual criteria,” Proceedings of Workshop on Statistical and Perceptual Audition (SAPA) — Speech Communication with Adaptive Learning (SCALE), Portland, September 7-8, 2012. 

R. S. Hegadi, A. K. Pediredla, and C. S. Seelamantula, “Bilateral smoothing of gradient vector flow field and application to image segmentation,” Proceedings of IEEE International Conference on Image Processing (ICIP) 2012, Orlando, September 30 - October 3, 2012.

H. Kishan and C. S. Seelamantula, “Optimal parameter selection for bilateral filter using Poisson unbiased risk estimate,” Proceedings of the IEEE International Conference on Image Processing (ICIP) 2012, Orlando, September 30 - October 3, 2012.

C. S. Seelamantula, “Some new results on signal reconstruction from Fourier transform magnitude spectrum,” Proceedings of International  Conference on Signal Processing and Communications (SPCOM) 2012, July 22-25, 2012. 

N. R. Muraka and C. S. Seelamantula, “A risk-estimation-based formulation for speech enhancement and its relation to Wiener filtering,” Proceedings of International  Conference on Signal Processing and Communications (SPCOM) 2012, July 22-25, 2012. 

R. R. Shenoy and C. S. Seelamantula, “Spectral zero-crossings: Localization properties and application to epoch extraction in speech signals,” Proceedings of International  Conference on Signal Processing and Communications (SPCOM) 2012, July 22-25, 2012. 

H. Kishan and C. S. Seelamantula, “SURE-fast bilateral filters,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012, March 25-30, Kyoto, Japan. 

A. K. Pediredla and C. S. Seelamantula, “A unified approach for optimization of snakuscules and ovuscules,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012, March 25-30, Kyoto, Japan. 

S. Mukherjee and C. S. Seelamantula, “An iterative algorithm for phase retrieval with sparsity constraints: Application to frequency-domain optical-coherence tomography,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012, March 25-30, Kyoto, Japan. 

R. R. Shenoy and C. S. Seelamantula, “Spectral zero-crossings alone enable reliable estimation of interaural time delay,” Proc. 45th Audio Engineering Society conference (Theme: Applications of time-frequency processing in audio), Helsinki, Finland, March 1-4, 2012. 

A. K. Pediredla and C. S. Seelamantula, “Active-contour-based automatic image quantitation techniques for Western Blot Analysis,” Proceedings of the Seventh IEEE International Symposium on Image and Signal Processing and Analysis, Croatia, September 4-6, 2011. 

A. K. Pediredla and C. S. Seelamantula, “A Huber-loss-driven clustering technique and its application to robust cell detection,” Proceedings of the Seventh IEEE International Symposium on Image and Signal Processing and Analysis, Croatia, September 4-6, 2011. 

N. R. Muraka and C. S. Seelamantula, “A risk-estimation-based comparison of mean-square error and Itakura-Saito distortion measures for speech enhancement,” Proceedings of Interspeech, Florence, Italy, August 27-31, 2011. 

H. Aragonda and C. S. Seelamantula, “Quadrature approximation properties of the spiral-phase quadrature transform,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2011, May 22-27, Prague, Czech Republic.

R. R. Shenoy and C. S. Seelamantula, “Spectral-envelope group-delay models for transient signals,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2011, May 22-27, Prague, Czech Republic. 

C. S. Seelamantula, “A finite-rate-of-innovation signal sampling perspective of the source-filter model of speech production,” Proceedings of the Eighth International Workshop on Sampling Theory and Applications (SampTA) 2011, May 2-6, 2011, Singapore. 

V. Ramakrishnan, K. Shetty, Pawan Kumar G, and C. S. Seelamantula, “Efficient post-processing techniques for speech enhancement,” Proceedings of National Conference on Communications (NCC), Bangalore, India, January 28-30, 2011. 

R. R. Shenoy and C. S. Seelamantula, “Epoch estimation in speech signals using spectral zero-crossing rate,” Proceedings of Centenary Conference, Department of Electrical Engineering, December 15-17, 2011. 

A. Adiga, A. Venkitaraman, and C. S. Seelamantula, “Auditory-motivated Gammatone wavelet transform,” Proceedings of Centenary Conference, Department of Electrical Engineering, December 15-17, 2011. 

A. Venkitaraman and C. S. Seelamantula, “Temporal envelope fit using gamma distribution functions,” Proceedings of Centenary Conference, Department of Electrical Engineering,  December 15-17, 2011. 

S. Harshavardhan, C. S. Seelamantula, and T. V. Sreenivas, “A multimodal density function estimation approach to formant tracking,” pp. 2410-2413, Proceedings of Interspeech, Makuhari, Japan, September 27-30, 2010. 

C. S. Seelamantula, “A sub-Nyquist sampling method for computing the level-crossings of an analog signal: Theory and applications,” pp. 1-5, Proceedings of The Eighth International Conference on Signal Processing and Communications (SPCOM), Bangalore, July 18-21, 2010. 

N. Pavillon, C. S. Seelamantula, M. Unser, and C. Depeursinge, “Artifact-free reconstruction from off-axis digital holograms through nonlinear filtering,” Proceedings of SPIE Photonics Europe 2010 (SPIE-PE'10), Brussels, Belgium, April 12-16, 2010.

A. K. Pediredla and C. S. Seelamantula, “A novel clustering technique robust to outliers,” IBM-Collaborative Academia Research Exchange (I-CARE) 2010 Workshop, IBM, Bangalore, October 22, 2010. 

N. Pavillon, C. S. Seelamantula, M. Unser, and C. Depeursinge, “A nonlinear technique for automatic twinimage and zero-order term suppression in digital holographic microscopy,” Proceedings of the Sixth International Workshop on Advanced Optical Metrology, pp. 160-163, Springer, Stuttgart, September 8-11, 2009. 

N. Pavillon, C. S. Seelamantula, C. Depeursinge, and M. Unser, “A new nonlinear technique for automatic elimination of twin image and zero-order image in digital holography,” FRINGE 2009, Frascati, Italy, November 30 - December 4, 2009.

C. S. Seelamantula, F. Aguet, S. Romain, P. Thévenaz, and M. Unser, “Parametric B-spline snakes on distance maps: Ap plication to segmentation of histology images,” Proceedings of European Signal Processing Conference (EUSIPCO), August 25-29, 2008.

S. Chandra Sekhar, R. Michaely, R. A. Leitgeb, and M. Unser, “Theoretical analysis of complex-conjugateambiguity suppression in frequency-domain optical-coherence tomography,” Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May 14-17, 2008, pp. 396-399. 

J.-C. Baritaux, S. Chandra Sekhar, and M. Unser, “A spline-based forward model for optical diffuse tomography,” Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May 14-17, 2008, pp. 384-387. 

S. Chandra Sekhar and M. Unser, “Performance analysis of the cepstral technique for frequency-domain optical-coherence tomography,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008, March 31 - April 4, pp. 557-560. 

A. S. Murthy, S. Chandra Sekhar, and T. V. Sreenivas, “Robust and high-resolution voiced/unvoiced classification in noisy speech using a signal smoothness criterion,” Proceedings of Interspeech, 2007.

S. Chandra Sekhar, R. A. Leitgeb, A. H. Bachmann, and M. Unser, “Logarithmic transformation technique for exact signal recovery in frequency-domain optical coherence tomography,” Proceedings of SPIE European Conference on Biomedical Optics (ECBO), 2007.

S. Chandra Sekhar, H. Nazkani, T. Blu and M. Unser, “A new technique for high-resolution frequency domain optical coherence tomography,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2007, April 15-20, vol. I, pp. 425-428. 

S. Chandra Sekhar, R. A. Leitgeb, M. L. Villiger, A. H. Bachmann, T. Blu and M. Unser, “Non-iterative exact signal recovery in frequency-domain optical-coherence tomography,” Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2007, April 12-15, pp. 808-811.

T. G. Thomas and S. Chandra Sekhar, “Perception studies on the attributes of synthetic clear speech for the hard of hearing,” Proceedings of IEEE International Symposium on Signal Processing and Applications (ISSPA), February 12-15, 2007, pp. 1-4. 

S. Chandra Sekhar, S. Pilli, C. Lakshmikanth, and T. V. Sreenivas, “Novel auditory motivated subband temporal envelope based fundamental frequency estimation algorithm,” Proceedings of European Signal Processing Conference (EUSIPCO), September 4-8, 2006. 

S. Chandra Sekhar and T. V. Sreenivas, “Novel approach to AM-FM decomposition with applications to speech and music analysis,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2004, vol. II, pp. 753-756. 

S. Chandra Sekhar, “A contraction mapping technique for instantaneous frequency estimation,” IEEE India Conference, 2004. 140.S. Chandra Sekhar and T. V. Sreenivas, “Instantaneous frequency estimation using level-crossing information,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2003, vol. VI, pp. 141-144.

S. Chandra Sekhar and T. V. Sreenivas, “Polynomial instantaneous frequency estimation using levelcrossing information,” Proceedings of IEEE-EURASIP Nonlinear Signal and Image Processing (NSIP) Workshop, 2003. 

J. K. Gupta, S. Chandra Sekhar and T. V. Sreenivas, “Performance analysis of AM-FM estimators,” Proceedings of IEEE Region 10 conference (TENCON), October 2003, pp. 954-958. 

S. Chandra Sekhar and T. V. Sreenivas, “Polynomial instantaneous frequency estimation using zerocrossing information,” Proceedings of National Conference on Communications, IIT Madras, 2003. 

S. Chandra Sekhar and T. V. Sreenivas, “Zero-crossing approach to tracking instantaneous frequency,” Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP), 2001.

S. Chandra Sekhar, “Improved robustness of zero-crossing based frequency estimation,” Proceedings of IEEE Bangalore Chapter Conference, 2001.

C. S. Seelamantula et al., "Low-rate super-resolution ultrasound imaging system," Indian Patent (no. 423410) granted on February 28, 2023.

N. Pavillon, C. S. Seelamantula, C. Depeursinge, and M. Unser, "Method and apparatus for enhanced spatial bandwidth wavefronts reconstructed from digital interferograms or holograms," US Patent 20120116703, published May 10, 2012. http://www.freepatentsonline.com/20120116703.pdf

C.S. Seelamantula and T.V. Sreenivas, “A suite of novel audio coding algorithms,” Indian Patent.