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2020 – today
- 2024
[j1]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Split Computing With Scalable Feature Compression for Visual Analytics on the Edge. IEEE Trans. Multim. 26: 10121-10133 (2024)- [c4]Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja:
Learning Implicit Representation for Reconstructing Articulated Objects. ICLR 2024 - [c3]Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja:
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video. ICML 2024 - [i5]Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja:
Learning Implicit Representation for Reconstructing Articulated Objects. CoRR abs/2401.08809 (2024) - [i4]Samyak Rawlekar, Shubhang Bhatnagar, Vishnuvardhan Pogunulu Srinivasulu, Narendra Ahuja:
Improving Multi-label Recognition using Class Co-Occurrence Probabilities. CoRR abs/2404.16193 (2024) - [i3]Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja:
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video. CoRR abs/2405.12607 (2024) - [i2]Samyak Rawlekar, Shubhang Bhatnagar, Narendra Ahuja:
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations. CoRR abs/2409.08381 (2024) - 2023
- [c2]Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz:
Radiology Reports Improve Visual Representations Learned from Radiographs. MIDL 2023: 1385-1405 - 2022
- [c1]Zhongzheng Yuan
, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Feature Compression for Rate Constrained Object Detection on the Edge. MIPR 2022: 1-6 - [i1]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Feature Compression for Rate Constrained Object Detection on the Edge. CoRR abs/2204.07314 (2022)
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