Author

Dhruv Parikh

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Preprint Sep 2026

DriveReferee: Geometric Safety Verdicts Need Not Be Learned for Driving World-Action Models

DriveReferee is introduced, which uses a learned geometry readout to predict the scene representation from camera observations and executes the geometric safety rule directly rather than learning it, and which matches or outperforms all learned-verifier and heuristic baselines.

Feng-Cheng Yu, Dhruv Parikh, Jun-Jie Ye et al. · 0 citations

Preprint Sep 2026

PhysWAM: Physically Consistent World Action Model for Autonomous Driving

PhysWAM is presented, a unified world-action model for autonomous driving that co-denoises multiview video, metric depth, and ego motion within a single flow-matching transformer and Coupled Point Projection is introduced, demonstrating that the geometric relationship between scene depth and ego motion provides a direc...

Dhruv Parikh, Feng-Cheng Yu, Quan-Kai Gao et al. · 0 citations

Jul 2026

FOLIO: Focused Semantic Memory for Streaming Video Understanding

FOLIO is introduced, a training-free focused semantic memory system that records important parts of the stream in higher detail while keeping surrounding context compactly and substantially reducing the cost of maintaining streaming memory by reserving detailed records for focused entities and storing surrounding conte...

Haoyang Fan, Dhruv Parikh, Anvitha Ramachandran et al. · arXiv.org · 1 citation · ⚡1