Feature Compression for Rate Constrained Object Detection on the Edge. - Zhongzheng Yuan; Samyak Rawlekar; Siddharth Garg; Elza Erkip; Yao Wang 001 (MIPR, 2022)

Radiology Reports Improve Visual Representations Learned from Radiographs. - Haoxu Huang; Samyak Rawlekar; Sumit Chopra; Cem M. Deniz (MIDL, 2023)

Learning Implicit Representation for Reconstructing Articulated Objects. - Hao Zhang 122; Fang Li 012; Samyak Rawlekar; Narendra Ahuja (ICLR, 2024)

S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video. - Hao Zhang 122; Fang Li 012; Samyak Rawlekar; Narendra Ahuja (ICML, 2024)

Improving Multi-label Recognition using Class Co-Occurrence Probabilities. - Samyak Rawlekar; Shubhang Bhatnagar; Vishnuvardhan Pogunulu Srinivasulu; Narendra Ahuja (ICPR (10), 2024)

Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations. - Samyak Rawlekar; Shubhang Bhatnagar; Narendra Ahuja (CoRR, 2024)

Split Computing With Scalable Feature Compression for Visual Analytics on the Edge. - Zhongzheng Yuan; Samyak Rawlekar; Siddharth Garg; Elza Erkip; Yao Wang 001 (IEEE Trans. Multim., 2024)

PositiveCoOp: Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations. - Samyak Rawlekar; Shubhang Bhatnagar; Narendra Ahuja (WACV, 2025)

Disentangling CLIP Features for Enhanced Localized Understanding. - Samyak Rawlekar; Yujun Cai; Yiwei Wang 001; Ming-Hsuan Yang 001; Narendra Ahuja (CoRR, 2025)