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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

Pictura: Perspective-View Self-Play at Scale for Driving

Yuan Yin, Elias Ramzi, Marc Lafon +8

The paper presents Pictura, a GPU‑accelerated multi‑agent driving simulator that renders each vehicle's egocentric camera view, enabling large‑scale self‑play training of driving p…

cs.RO2026

Test-Time Trajectory Optimization for Autonomous Driving

Yihong Xu, Eloi Zablocki, Yuan Yin +4

End-to-end planners for autonomous driving typically generate a set of candidate trajectories, score each one, and return the highest-scoring candidate. However, the scorer is appl…

cs.CV2026

PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting

Yihong Xu, Yuan Yin, Éloi Zablocki +3

Accurately predicting how agents move in dynamic scenes is essential for safe autonomous driving. State-of-the-art motion forecasting models rely on datasets with manually annotate…

cs.CV2026

Driving on Registers

Ellington Kirby, Alexandre Boulch, Yihong Xu +11

We present DrivoR, a simple and efficient transformer-based architecture for end-to-end autonomous driving. Our approach builds on pretrained Vision Transformers (ViTs) and introdu…

cs.LG2026

IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation

Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu +2

Parameter-efficient fine-tuning (PEFT) methods, such as LoRA, reduce adaptation cost by injecting low-rank updates into pretrained weights. However, LoRA's down-projection is rando…