Ketul Shah

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Citations	100	97
h-index	6	6
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Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Anshul ShahGraduate Student, Johns Hopkins UniversityVerified email at jhu.edu
Aniket RoyPh.D scholar, Department of Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Prasan ShedligeriPostDoc Candidate, University of BonnVerified email at uni-bonn.de
Kaushik MitraDepartment of Electrical Engineering, IIT MadrasVerified email at ee.iitm.ac.in
Prithviraj DharResearch Scientist at Meta Platforms, IncVerified email at meta.com
Chun Pong LauAssistant Professor, City University of Hong KongVerified email at cityu.edu.hk
Anirban RoySenior Scientist, SRI InternationalVerified email at sri.com
Matthias ZwickerProfessor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Abhinav ShrivastavaAssistant Professor, University of Maryland, College ParkVerified email at cs.umd.edu
Susmija JabbireddyUniversity of MarylandVerified email at umd.edu
Kamal GuptaUniversity of Maryland, College ParkVerified email at cs.umd.edu

Ketul Shah

Johns Hopkins University

Verified email at jh.edu - Homepage

Computer Vision Machine Learning Computer Graphics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Photorealistic image reconstruction from hybrid intensity and event-based sensor P Shedligeri, K Mitra Journal of Electronic Imaging 28 (6), 063012-063012, 2019	35	2019
Felmi: Few shot learning with hard mixup A Roy, A Shah, K Shah, P Dhar, A Cherian, R Chellappa Advances in Neural Information Processing Systems 35, 24474-24486, 2022	19	2022
Multi-view action recognition using contrastive learning K Shah, A Shah, CP Lau, CM de Melo, R Chellappa Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	16	2023
Synthetic-to-real domain adaptation for action recognition: A dataset and baseline performances AV Reddy, K Shah, W Paul, R Mocharla, J Hoffman, KD Katyal, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 11374 …, 2023	9	2023
Diffalign: Few-shot learning using diffusion based synthesis and alignment A Roy, A Shah, K Shah, A Roy, R Chellappa arXiv preprint arXiv:2212.05404 3, 2022	8	2022
Improved modeling of 3D shapes with multi-view depth maps K Gupta, S Jabbireddy, K Shah, A Shrivastava, M Zwicker 2020 International Conference on 3D Vision (3DV), 71-80, 2020	7	2020
Halp: Hallucinating latent positives for skeleton-based self-supervised learning of actions A Shah, A Roy, K Shah, S Mishra, D Jacobs, A Cherian, R Chellappa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	5	2023
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics A Roy, M Suin, A Shah, K Shah, J Liu, R Chellappa arXiv preprint arXiv:2311.09753, 2023	1	2023
MV2MAE: Multi-View Video Masked Autoencoders K Shah, R Crandall, J Xu, P Zhou, M George, M Bansal, R Chellappa arXiv preprint arXiv:2401.15900, 2024		2024
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training A Reddy, W Paul, C Rivera, K Shah, CM de Melo, R Chellappa arXiv preprint arXiv:2312.02914, 2023		2023
Leveraging synthetic data for robust gesture recognition K Katyal, R Chellappa, K Shah, A Reddy, J Hoffman, W Paul, R Mocharla, ... Synthetic Data for Artificial Intelligence and Machine Learning: Tools …, 2023		2023

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