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Namitha Padmanabhan
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Conference and Workshop Papers
- 2024
- [c1]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV 2024: 1506-1516
Informal and Other Publications
- 2024
- [i5]Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava:
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions. CoRR abs/2401.10217 (2024) - [i4]Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava:
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition. CoRR abs/2407.18249 (2024) - 2023
- [i3]Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava:
Diffusion Models Beat GANs on Image Classification. CoRR abs/2307.08702 (2023) - [i2]Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava:
Do text-free diffusion models learn discriminative visual representations? CoRR abs/2311.17921 (2023) - 2022
- [i1]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR abs/2202.00011 (2022)
Coauthor Index
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last updated on 2024-08-25 20:04 CEST by the dblp team
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