3 papers
cs.CV2026
SpatialSV: Internalizing Interpretable 3D Spatial Awareness in MLLMs via Task-Oriented Visual Supervision
Jiayu Tang, Yuchen Zhou, Chao Gou
Unlocking the spatial intelligence of multimodal large language model (MLLMs) is crucial for understanding and interacting with the 3D world. Prevailing approaches typically inject…
cs.CV2025
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
Yuchen Zhou, Jiayu Tang, Shuo Yang +6
Vision-Language Models (VLMs), exemplified by CLIP, have emerged as foundational for multimodal intelligence. However, their capacity for logical understanding remains significantl…
cs.CV2025
Where, What, Why: Towards Explainable Driver Attention Prediction
Yuchen Zhou, Jiayu Tang, Xiaoyan Xiao +6
Modeling task-driven attention in driving is a fundamental challenge for both autonomous vehicles and cognitive science. Existing methods primarily predict where drivers look by ge…