1 citations · 1 across the 4 of their papers we have counts for
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Mind the Temporal Gap: Evaluating Video Models for Temporal Understanding in Driving
Shiva Sreeram, Erfan Aasi, Tsun-Hsuan Wang +2
Modern video-language models are increasingly treated as general-purpose video reasoners, yet it remains unclear whether they robustly capture temporal dynamics in safety-critical…
Perception-Aware Multimodal Spatial Reasoning from Monocular Images
Yanchun Cheng, Rundong Wang, Xulei Yang +4
Spatial reasoning from monocular images is essential for autonomous driving, yet current Vision-Language Models (VLMs) still struggle with fine-grained geometric perception, partic…
See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
Amir Mallak, Erfan Aasi, Shiva Sreeram +3
Recent advances in end-to-end autonomous driving show that policies trained on patch-aligned features extracted from foundation models generalize better to Out-of-Distribution (OOD…