Yogesh Singh Rawat

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Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaVerified email at crcv.ucf.edu
Kevin DuarteUniversity of Central FloridaVerified email at knights.ucf.edu
Shruti VyasUniversity of Central FloridaVerified email at ucf.edu
Praveen TirupatturPhD, University of Central FloridaVerified email at ucf.edu
Mamshad Nayeem RizveAdobeVerified email at adobe.com
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Aayush RanaQualcomm Technologies Inc.Verified email at ucf.edu
Madeline Chantry SchiappaUniversity of Central FloridaVerified email at knights.ucf.edu
Vibhav VineetMicrosoft ResearchVerified email at microsoft.com
Akash KumarPhD student, University of Central FloridaVerified email at knights.ucf.edu
Ugur DemirNorthwestern UniversityVerified email at u.northwestern.edu
Hamid PalangiGoogle and University of WashingtonVerified email at google.com
Concetto SpampinatoUniversity of CataniaVerified email at dieei.unict.it
Swapan Kumar ParuiIndian Statistical InstituteVerified email at isical.ac.in
Ujjwal BhattacharyaComputer Vision and Pattern Recognition Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Song, MingliFull Professor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
Hilde KuehneTuebingen AI Center, University of Tuebingen, MIT-IBM Watson LabVerified email at uni-tuebingen.de
Ajay DivakaranSenior Technical Director, Vision and Learning, SRI InternationalVerified email at sri.com
Chidansh BhattIBM Thomas J. Watson Research CenterVerified email at ibm.com

Yogesh Singh Rawat

Assistant Professor, CRCV, University of Central Florida

Verified email at ucf.edu - Homepage

Computer Vision Multimedia


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In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning MN Rizve, K Duarte, YS Rawat, M Shah The International Conference on Learning Representations (ICLR), 2021	700	2021
VideoCapsuleNet: A Simplified Network for Action Detection K Duarte, YS Rawat, M Shah Advances in Neural Information Processing Systems, 2018	228	2018
Self-supervised learning for videos: A survey MC Schiappa, YS Rawat, M Shah ACM Computing Surveys 55 (13s), 1-37, 2023	157	2023
ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network P Tirupattur, YS Rawat, C Spampinato, M Shah Proceedings of the 2018 ACM on Multimedia Conference, 950-958, 2018	105	2018
Visual-textual Capsule Routing for Text-based Video Segmentation B McIntosh, K Duarte, YS Rawat, M Shah Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020	86*	2020
ConTagNet: Exploiting user context for image tag recommendation YS Rawat, MS Kankanhalli Proceedings of the 24th ACM international conference on Multimedia, 1102-1106, 2016	85	2016
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing K Duarte, YS Rawat, M Shah Proceedings of the IEEE International Conference on Computer Vision, 2019	82	2019
Modeling Multi-Label Action Dependencies for Temporal Action Localization P Tirupattur, K Duarte, Y Rawat, M Shah Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021	81	2021
An analytic scheme for online handwritten Bangla cursive word recognition U Bhattacharya, A Nigam, YS Rawat, SK Parui Proc. of the 11th ICFHR, 320-325, 2008	72	2008
Multi-view Action Recognition using Cross-view Video Prediction S Vyas, YS Rawat, M Shah Proceedings of the European Conference on Computer Vision (ECCV), 2020	69	2020
TinyVIRAT: Low-resolution Video Action Recognition U Demir, YS Rawat, M Shah 25th International Conference on Pattern Recognition, 2020	61	2020
ClickSmart: A Context-Aware Viewpoint Recommendation System for Mobile Photography Y Rawat, M Kankanhalli IEEE Transactions on Circuits and Systems for Video Technology, 2016	49	2016
End-to-End Semi-Supervised Learning for Video Action Detection A Kumar, YS Rawat Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022	41	2022
Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation Z Xu, YS Rawat, Y Wong, M Kankanhalli, M Shah Advances in Neural Information Processing Systems, 2022	38	2022
Gabriellav2: Towards better generalization in surveillance videos for action detection I Dave, Z Scheffer, A Kumar, S Shiraz, YS Rawat, M Shah Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	38	2022
Context-aware photography learning for smart mobile devices YS Rawat, MS Kankanhalli ACM Transactions on Multimedia Computing, Communications, and Applications …, 2015	37	2015
Adversarial Learning for Personalized Tag Recommendation E Quintanilla, Y Rawat, A Sakryukin, M Shah, M Kankanhalli IEEE Transactions on Multimedia, 2020	36	2020
A large-scale robustness analysis of video action recognition models MC Schiappa, N Biyani, P Kamtam, S Vyas, H Palangi, V Vineet, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	31	2023
In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning. arXiv 2021 MN Rizve, K Duarte, YS Rawat, M Shah arXiv preprint arXiv:2101.06329, 0	25
Reformulating zero-shot action recognition for multi-label actions A Kerrigan, K Duarte, Y Rawat, M Shah Advances in Neural Information Processing Systems 34, 25566-25577, 2021	24	2021

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