Sreyas Mohan
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Robust and interpretable blind image denoising via bias-free convolutional neural networks
S Mohan, Z Kadkhodaie, EP Simoncelli, C Fernandez-Granda
arXiv preprint arXiv:1906.05478, 2019
Unsupervised deep video denoising
DY Sheth, S Mohan, JL Vincent, R Manzorro, PA Crozier, MM Khapra, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Data-driven estimation of sinusoid frequencies
G Izacard, S Mohan, C Fernandez-Granda
Advances in Neural Information Processing Systems 32, 2019
Perturbation checklists for evaluating NLG evaluation metrics
AB Sai, T Dixit, DY Sheth, S Mohan, MM Khapra
arXiv preprint arXiv:2109.05771, 2021
Blind nonnegative source separation using biological neural networks
C Pehlevan, S Mohan, DB Chklovskii
Neural computation 29 (11), 2925-2954, 2017
Developing and evaluating deep neural network-based denoising for nanoparticle TEM images with ultra-low signal-to-noise
JL Vincent, R Manzorro, S Mohan, B Tang, DY Sheth, EP Simoncelli, ...
Microscopy and Microanalysis 27 (6), 1431-1447, 2021
Deep denoising for scientific discovery: A case study in electron microscopy
S Mohan, R Manzorro, JL Vincent, B Tang, DY Sheth, EP Simoncelli, ...
IEEE Transactions on Computational Imaging 8, 585-597, 2022
Adaptive denoising via gaintuning
S Mohan, JL Vincent, R Manzorro, P Crozier, C Fernandez-Granda, ...
Advances in neural information processing systems 34, 23727-23740, 2021
Data driven coded aperture design for depth recovery
PA Shedligeri, S Mohan, K Mitra
2017 IEEE International Conference on Image Processing (ICIP), 56-60, 2017
Deep probability estimation
S Liu, A Kaku, W Zhu, M Leibovich, S Mohan, B Yu, H Huang, L Zanna, ...
arXiv preprint arXiv:2111.10734, 2021
Be like water: Robustness to extraneous variables via adaptive feature normalization
A Kaku, S Mohan, A Parnandi, H Schambra, C Fernandez-Granda
arXiv preprint arXiv:2002.04019, 2020
MMG-ego4D: multimodal generalization in egocentric action recognition
X Gong, S Mohan, N Dhingra, JC Bazin, Y Li, Z Wang, R Ranjan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Steindreamer: Variance reduction for text-to-3d score distillation via stein identity
P Wang, Z Fan, D Xu, D Wang, S Mohan, F Iandola, R Ranjan, Y Li, Q Liu, ...
arXiv preprint arXiv:2401.00604, 2023
Simultaneous route and frequency coded genetic algorithm for transit route network design
TV Mathew, S Mohan
Journal of Transportation Engineering, ASCE 129 (2), 2002
Taming mode collapse in score distillation for text-to-3d generation
P Wang, D Xu, Z Fan, D Wang, S Mohan, F Iandola, R Ranjan, Y Li, Q Liu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
The Impact of Artificial Intelligence on In Situ Electron Microscopy
PA Crozier, AM Morales, M Leibovich, S Mohan, P Haluai, M Tan, ...
Microscopy and Microanalysis 29 (Supplement_1), 1595-1596, 2023
A Deep Learning Approach to Retrieving 3D Structure Information from High Resolution Time-Resolved TEM Images
R Manzorro, M Leibovich, J Vincent, S Mohan, D Matteson, ...
Microscopy and Microanalysis 27 (S1), 464-465, 2021
Evaluating unsupervised denoising requires unsupervised metrics
A Marcos-Morales, M Leibovich, S Mohan, JL Vincent, P Haluai, M Tan, ...
arXiv preprint arXiv:2210.05553, 2022
Study on the mechanism of the transfer of lncRNA-H19 by exosomal bionic nanocarriers to inhibit the growth of pituitary tumors
Z Wu, Y Zhang
Brain Tumor Research and Treatment 10 (Suppl), 2022
Developing Deep Neural Network-based Denoising Techniques for Time-Resolved In Situ TEM of Catalyst Nanoparticles
J Vincent, S Mohan, R Manzorro, B Tang, D Sheth, M Khapra, D Matteson, ...
Microscopy and Microanalysis 27 (S1), 262-264, 2021
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