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Carlos Fernandez-GrandaCourant Institute and Center for Data Science, New York UniversityEmail yang diverifikasi di cims.nyu.edu
Peter A CrozierArizona State UniversityEmail yang diverifikasi di asu.edu
Joshua L. VincentArizona State UniversityEmail yang diverifikasi di asu.edu
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.Email yang diverifikasi di nyu.edu
Ramon ManzorroUniversidad de CádizEmail yang diverifikasi di uca.es
Dev Yashpal ShethIndian Institute of Technology MadrasEmail yang diverifikasi di cse.iitm.ac.in
David S. MattesonProfessor, Statistics & Data Science, Cornell UniversityEmail yang diverifikasi di cornell.edu
Mitesh KhapraIndian Institute of Technology MadrasEmail yang diverifikasi di cse.iitm.ac.in
Matan LeibovichCourant Instructor & Assitant Professor, New York UniversityEmail yang diverifikasi di nyu.edu
Binh TangMeta AIEmail yang diverifikasi di meta.com
Zahra KadkhodaiePhD Student, New York UniversityEmail yang diverifikasi di nyu.edu
Aakash KakuGoogle, PhD @ NYUEmail yang diverifikasi di google.com
Mai TanArizona State UniversityEmail yang diverifikasi di asu.edu
Gautier IzacardMicrosoft AIEmail yang diverifikasi di inflection.ai
Dmitri "Mitya" B. ChklovskiiFlatiron Institute, Simons Foundation and NYUEmail yang diverifikasi di flatironinstitute.org
Cengiz PehlevanHarvard UniversityEmail yang diverifikasi di seas.harvard.edu
Weicheng ZhuCenter for Data Science, New York UniversityEmail yang diverifikasi di nyu.edu
Narges RazavianNew York University Medical CenterEmail yang diverifikasi di nyumc.org
Prasan ShedligeriPostDoc Candidate, University of BonnEmail yang diverifikasi di uni-bonn.de
Kaushik MitraDepartment of Electrical Engineering, IIT MadrasEmail yang diverifikasi di ee.iitm.ac.in

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Sreyas Mohan

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Email yang diverifikasi di nyu.edu - Beranda

Image Processing Computer Vision Deep Learning Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	154	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	72	2021
Data-driven estimation of sinusoid frequencies G Izacard, S Mohan, C Fernandez-Granda Advances in Neural Information Processing Systems 32, 2019	64	2019
Perturbation CheckLists for evaluating NLG evaluation metrics AB Sai, T Dixit, DY Sheth, S Mohan, MM Khapra arXiv preprint arXiv:2109.05771, 2021	53	2021
Blind nonnegative source separation using biological neural networks C Pehlevan, S Mohan, DB Chklovskii Neural computation 29 (11), 2925-2954, 2017	43	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	42	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	40	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	36	2021
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	23	2023
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	21	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	18	2021
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	17	2024
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	15	2020
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	13	2023
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	7	2022
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
Knee Cartilage Segmentation Using Diffusion-Weighted MRI A Duarte, CV Hegde, A Kaku, S Mohan, JG Raya arXiv preprint arXiv:1912.01838, 2019	2	2019
Wast-3d: Wasserstein-2 distance for scene-to-scene stylization on 3d gaussians D Kotovenko, O Grebenkova, N Sarafianos, A Paliwal, P Ma, ... European Conference on Computer Vision, 298-314, 2024	1	2024

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