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 | 125 | 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 | 53 | 2021 |
Data-driven estimation of sinusoid frequencies G Izacard, S Mohan, C Fernandez-Granda Advances in Neural Information Processing Systems 32, 2019 | 51 | 2019 |
Perturbation CheckLists for evaluating NLG evaluation metrics AB Sai, T Dixit, DY Sheth, S Mohan, MM Khapra arXiv preprint arXiv:2109.05771, 2021 | 38 | 2021 |
Blind nonnegative source separation using biological neural networks C Pehlevan, S Mohan, DB Chklovskii Neural computation 29 (11), 2925-2954, 2017 | 38 | 2017 |
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 | 34 | 2022 |
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 | 33 | 2021 |
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 | 31 | 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 | 19 | 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 | 15 | 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 | 12 | 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 | 9 | 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, ... | 8 | 2023 |
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 | 5 | 2024 |
Simultaneous route and frequency coded genetic algorithm for transit route network design TV Mathew, S Mohan Journal of Transportation Engineering, ASCE 129 (2), 2002 | 5 | 2002 |
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 | 3 | 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 | 3 | 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 | 2 | 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 | 1 | 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 | 1 | 2021 |