Author

Thang Vu

Korea Advanced Institute of Science and Technology

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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

Open access 2026

Speaking ITM’s Language: Query Reformulation and Temporal-MMR for Long-Video QA

The resulting training-free pipeline, RECAST, consistently outperforms recent frame-selection baselines without modifying the ITM encoder, and preserves the per-frame matching cost of a standard single-query baseline.

S. Han, Thang Vu, Junyeong Kim · IEEE Access · 0 citations