Vatsal Agarwal

According to our database, Vatsal Agarwal authored at least 13 papers between 2012 and 2026.

Collaborative distances:

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

2026

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos.

Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping

CoRR, March, 2026

Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory.

Vatsal Agarwal, Saksham Suri, Matthew Gwilliam, Pulkit Kumar, Abhinav Shrivastava

CoRR, February, 2026

2025

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor.

Vatsal Agarwal, Matthew Gwilliam, Gefen Kohavi, Eshan Verma, Daniel Ulbricht, Abhinav Shrivastava

CoRR, July, 2025

2024

LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation.

Archana Swaminathan, Anubhav Gupta, Kamal Gupta, Shishira R. Maiya, Vatsal Agarwal, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2024, 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

Coarse-to-Fine Human Mesh Recovery with Transformers.

Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness.

Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

A Frequency Perspective of Adversarial Robustness.

Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava

CoRR, 2021

2020

Weakly-supervised lesion segmentation on CT scans using co-segmentation.

Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Weakly Supervised Lesion Co-Segmentation on Ct Scans.

Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2012

MIPModDB: a central resource for the superfamily of major intrinsic proteins.

Anjali Bansal Gupta, Ravi Kumar Verma, Vatsal Agarwal, Manu Vajpai, Vivek Bansal, Ramasubbu Sankararamakrishnan

Nucleic Acids Res., 2012