Namitha Padmanabhan

According to our database, Namitha Padmanabhan authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement.

Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Do Text-Free Diffusion Models Learn Discriminative Visual Representations?

Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2024, 2024

Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition.

Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2024, 2024

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions.

Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Do text-free diffusion models learn discriminative visual representations?

Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava

CoRR, 2023

Diffusion Models Beat GANs on Image Classification.

Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava

CoRR, 2023

2022

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.

Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava

CoRR, 2022