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cs.CV2026
MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
Yiming Xu, Hao Cheng, Monika Sester
Autoregressive generation is natural for language, where predicted tokens can be directly reused as the next prediction state, but trajectory forecasting lacks such a clean token:…
cs.CV2026
Seeing Before Answering: Training-Free Visual Layer Profiling for Vision-Language Models
Ruchen Liu, Yi Yang, Yiming Xu +3
LLaVA-style Vision-Language Models (VLMs) pass visual tokens from a fixed late layer of the vision backbone, typically the penultimate one, to the language model. We first show tha…
cs.CV2026
HiMAP: History-aware Map-occupancy Prediction with Fallback
Yiming Xu, Yi Yang, Hao Cheng +1
Accurate motion forecasting is critical for autonomous driving, yet most predictors rely on multi-object tracking (MOT) with identity association, assuming that objects are correct…