Center for Research in Computer Vision

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Yogesh S Rawat

Assistant Professor

CRCV | Center for Research in Computer Vision
University of Central Florida
4328 Scorpius St. HEC 241
Orlando, FL 32816-2365

Phone: (407) 823-6495
Email: yogesh@crcv.ucf.edu


Research
Our lab studies computer vision, multimedia, and deep learning. We mainly explore the video domain with focus on activity recognition and robust video understanding. We also study the role of multiple modalities in computer vision and how different modalities can be utilized for robust video understanding. Another prime focus of the lab is to utilize large-scale unlabelled datasets with label efficient learning. Other interests include, video synthesis, bio-metrics, and robust video representation learning.

For recent list of research publications please visit Google Scholar page.


Latest News [ All News]
3 papers accepted in NeurIPS'22, Congrats to Aayush, Maddy, and Ziwei
Congratulations to Akash for his CVPR 2022 paper
Organizing ROSE workshop and challenge at CVPR-2022!
Organizing TinyAction Challenge in ActivityNet workshop at CVPR-2022!
Invited talk @SRI International Jan 2022
Congratulations to Xianhang for his WACV 2022 paper
Congratulations to Alec for his NeurIPS 2021 paper
Congratulations to Naman for his BMVC 2021 paper
Invited talk @MSR [Deep learning for video understanding], July 2021
Paper accepted in CVPR 2021
Paper accepted in ICLR 2021


Recent Service [ All Service]
Senior PC Member AAAI'23
Associate Editor, IEEE TCSVT [Jan 2022-]
Area Chair, CVPR 2022
Local arrangement chair, IEEE BigData 2021
Program chair, Workshop in IEEE Big MM 2021
PC member, ICLR [2021, 2022]
Associate Editor for MVAP [Jan 2020 - ]
Served in NSF review panel 2021
Area Chair, ACM-MM [2020, 2021]
PC member, NeurIPS [2020, 2021]
PC member, ICCV 2021


Recent Publications [ All Publications] [ Google Scholar]

End-to-End Semi-Supervised Learning for Video Action Detection
CVPR 2022
Akash Kumar, Yogesh Rawat
[Paper] [Code]

Reformulating Zero-shot Action Recognition for Multi-label Actions
NeurIPS 2021
Alec Kerrigan, Kevin Duarte, Yogesh Rawat, Mubarak Shah
[Paper] [Presentation]

LARNet: Latent Action Representation for Human Action Synthesis
BMVC 2021
Naman Biyani, Aayush J Rana, Shruti Vyas, Yogesh S Rawat
[Paper] [Project] [Presentation] [Code]

Pose-guided Generative Adversarial Net for Novel View Action Synthesis
WACV 2022
Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, and Yogesh S Rawat
[Paper] [Project] [Code]

NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels
ACM MM Asia 2021
Mohit Sharma, Raj Patra, Harshal Desai, Shruti Vyas, Yogesh Rawat, Rajiv Ratn Shah
[Paper] [Project]

Modeling Multi-Label Action Dependencies for Temporal Action Localization
CVPR 2021
Praveen Tirupattur, Kevin Duarte, Yogesh Rawat, Mubarak Shah
[Paper] [Code]

In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning
ICLR 2021
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah
[Paper] [Presentation] [Code]