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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[at]crcv.ucf.edu

Research
Our research group is focused on advancing computer vision and AI, particularly in the areas of video understanding, multimodal learning, and robust AI systems. Our work explores foundational models and machine learning techniques to tackle challenges like action recognition, anomaly detection, and resilience to adversarial conditions. We aim to develop intelligent systems that not only perceive but also reason about complex visual and multimodal data for real-world applications.
We are always looking for PhD candidates, 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.

Selected Recent Publications [ All Publications] [ Google Scholar]

DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
CVPR 2025
Xin Liang, Yogesh Rawat
[Paper] [Code]

STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding
CVPR 2025
Aaryan Garg, Akash Kumar, Yogesh Rawat
[Paper] [Code] [Project page]

HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding
CVPR 2025
Shehreen Azad, Vibhav Vineet, Yogesh Rawat
[Paper] [Code] [Project page]

LR0.FM: Low-Resolution Zero-Shot Classification Benchmark for Foundation Models
ICLR 2025
Priyank Pathak, Shyam Marjit, Shruti Vyas, Yogesh Rawat
[Paper] [Code] [Project page]

Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding
ICLR 2025
Akash Kumar, Zsolt Kira, Yogesh Rawat
[Paper] [Code] [Project page]

T2L: Efficient Zero-Shot Action Recognition with Temporal Token Learning
TMLR 2025
Shahzad Ahmad, Sukalpa Chanda, Yogesh S Rawat
[Paper] [Code]

Stable Mean Teacher for Semi-supervised Video Action Detection
AAAI 2025
Akash Kumar, Sirshapan Mitra, Yogesh Rawat
[Paper] [Code]

Asynchronous Perception Machine for Test Time Training
NeurIPS 2024
Rajat Modi, Yogesh Rawat,
[Paper] [Website] [Code]

AirSketch: Generative Motion to Sketch
NeurIPS 2024
HXG Lim, X Cui, YS Rawat, SN Lim,
[Paper] [Code]

Navigating Hallucinations for Reasoning of Unintentional Activities
EMNLP Findings 2024
Shresth Grover, Vibhav Vineet, Yogesh S Rawat
[Paper] [Code]

Activity-Biometrics: Person Identification from Daily Activities
CVPR 2024
Shehreen Azad, and Yogesh Singh Rawat
[Paper] [Code]


Group Members

Akash Kumar

PhD student

Priyank Pathak

PhD student

Rajat Modi

PhD student

Shehreen Azad

PhD student

Raiyaan Abdullah

PhD student

Xin Liang

PhD student

Grace Lim

PhD student

Sirshapan Mitra

PhD student

Former Members

  • Ayush Rana [PhD Student], Now: Qualcomm
  • Madeline Schiappa [PhD Student], Now: Arctic Wolf
  • Rahul Ambati [Master Student], Now: Amazon
  • Xianhang Li [Research Assistant], Now: Ph.D student at UC, Santa Cruz
  • Alex Matasa [Master Student], Now: Machine Learning Engineer II at Vadum Inc.
  • Arushi Rai [REU Student], Now: PhD student at University of Pittsburgh
  • Kara Schatz [REU Student], Now: PhD Student at North Carolina State University
  • Erik Quintanilla [REU Student], Now: Software Engineer at Amazon

Sponsors
Intelligence Advanced Research Projects Activity (IARPA)
Defense Advanced Research Projects Agency (DARPA)
National Science Foundation (NSF)
DRS