| 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 | 55 | 2021 |
| Perturbation CheckLists for evaluating NLG evaluation metrics AB Sai, T Dixit, DY Sheth, S Mohan, MM Khapra arXiv preprint arXiv:2109.05771, 2021 | 41 | 2021 |
| 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 | 36 | 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 | 34 | 2022 |
| Demonstration of a measurement-based adaptation protocol with quantum reinforcement learning on the IBM Q experience platform KS Shenoy, DY Sheth, BK Behera, PK Panigrahi Quantum Information Processing 19, 1-13, 2020 | 16 | 2020 |
| 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 |
| PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget DY Sheth, A Rajkumar IEEE International Conference on Data Mining (ICDM) (Also presented at …, 2021 | 1 | 2021 |
| Active ranking from pairwise comparisons with dynamically arriving items and voters DY Sheth, A Rajkumar Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 229-233, 2020 | 1 | 2020 |
Sreyas MohanMeta在 nyu.edu 的电子邮件经过验证
