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.

I am looking for PhD students for Fall 2024, please reach out with your resume if you are interested in working with our group.

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


Latest News [ All News]
2 papers accepted in NeurIPS'23, congrats to Rajat and Shresth!
1 paper accepted in ICCV 2023, congrats to Nishant!
2 papers accepted in CVPR 2023, congrats to Aayush and Maddy!
Invited talk - FGAD @ WACV 2023!
Invited talk - ATLAS @ ECCV 2022! [Link]
Congratulations to Aayush and Maddy for NeurIPS 2022 Scholar Award!
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 @MSR [Deep learning for video understanding], July 2021


Recent Service [ All Service]
Area Chair, WACV 2025
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]


Recent Publications [ All Publications] [ Google Scholar]

A Large-Scale Robustness Analysis of Video Action Recognition Models
CVPR2023
Madeline Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh Rawat, Vibhav Vineet
[Paper] [Code]

Hybrid Active Learning via Deep Clustering for Video Action Detection
CVPR2023
Aayush Rana, Yogesh Rawat
[Paper] [Code]

Self-supervised learning for videos: A survey
ACM Computing Surveys 2023
Madeline Schiappa, Yogesh Rawat, Mubarak Shah
[Paper] [Code]

Are all Frames Equal? Active Sparse Labeling for Video Action Detection
NeurIPS 2022
Aayush Rana, Yogesh Rawat
[Paper] [Code]

Don’t Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation
NeurIPS 2022
Ziwei Xu, Yogesh Rawat, Yongkang Wong, Mohan Kankanhalli, Mubarak Shah
[Paper] [Code]

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
NeurIPS Dataset and Benchmarking 2022
Madeline Chantry, Shruti Vyas, Hamid Palangi, Yogesh Rawat, Vibhav Vineet
[Paper] [Code]

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

Video Action Detection: Analysing Limitations and Challenges
CVPRW 2022
Rajat Modi, 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]