Rushikesh Zawar

According to our database, Rushikesh Zawar authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Towards Understanding Camera Motions in Any Video.

Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Tiffany Ling, Yuhan Huang, Sifan Liu, Mingyu Chen, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan

CoRR, April, 2025

Tuned Compositional Feature Replays for Efficient Stream Learning.

Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers.

Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors.

Yehonathan Litman, Or Patashnik, Kangle Deng, Aviral Agrawal, Rushikesh Zawar, Fernando De la Torre, Shubham Tulsiani

Proceedings of the International Conference on 3D Vision, 2025

2024

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images.

Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe

CoRR, 2024

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition.

Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk

CoRR, 2024

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition.

Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Jensen-Shannon Divergence in Safe Multi- Agent RL.

Rushikesh Zawar, Prabhdeep Singh Sethi, Roshan Roy

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2022

Detecting Anomalies using Generative Adversarial Networks on Images.

Rushikesh Zawar, Krupa Bhayani, Neelanjan Bhowmik, Kamlesh Tiwari, Dhiraj Sangwan

CoRR, 2022