Rushikesh Zawar — accepted AI-conference papers

2025

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

Andrew Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Rajat Dewan, Margaret Marie Henderson, Leila Wehbe +1

ICLR 2025poster

We introduce BrainSAIL (Semantic Attribution and Image Localization), a method for linking neural selectivity with spatially distributed semantic visual concepts in natural scenes. BrainSAIL leverages recent advances in large-scale artificial neural networks, using them to provide insights into the…

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2025

Towards Understanding Camera Motions in Any Video

Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra +7

NeurIPS 2025spotlight

We introduce CameraBench, a large-scale dataset and benchmark designed to assess and improve camera motion understanding. CameraBench consists of ~3,000 diverse internet videos, annotated by experts through a rigorous multi-stage quality control process. One of our core contributions is a taxonomy o…

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2024

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

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

NeurIPS 2024poster

Text-to-image diffusion models have made significant progress in generating naturalistic images from textual inputs, and demonstrate the capacity to learn and represent complex visual-semantic relationships. While these diffusion models have achieved remarkable success, the underlying mechanisms dri…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗