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Samyak Rawlekar
Samyak Rawlekar
I am a PhD student in the Computer Vision and Robotics Laboratory at the University of Illinois Urbana-Champaign. I am advised by Prof. Narendra Ahuja.
I love pixels and have recently been integrating them with text to solve intricate and exciting problems in Computer Vision. Particularly, I focus on using large multi-modal (vision-language) models for multi-task learning.
Previously, I obtained MS in Computer Engineering from New York University, and B.Tech in Electrical Engineering from IIT Dharwad.
Selected Publications
Please visit my Google Scholar for the full list of publications
Efficiently Disentangling CLIP for Multi-Object Perception
- Samyak Rawlekar, Yujun Cai, Yiwei Wang, Ming-Hsuan Yang, Narendra Ahuja
- Preprint
- paper
PositiveCoOp: Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
- Samyak Rawlekar, Shubhang Bhatnagar, Narendra Ahuja
- WACV 2025
- paper | project page
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
- Samyak Rawlekar*, Shubhang Bhatnagar*, Vishnuvardhan Pogunulu Srinivasulu, Narendra Ahuja
- CVPRW 2024, ICPR 2024 [Oral, Top-5%]
- paper | project page
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton
- Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja
- ICML 2024
- paper
LIMR: Learning Implicit Representation for Reconstructing Articulated Objects
- Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja
- ICLR 2024
- paper