4 papers
Towards Cross-View Point Correspondence in Vision-Language Models
Yipu Wang, Yuheng Ji, Yuyang Liu +10
Cross-view correspondence is a fundamental capability for spatial understanding and embodied AI. However, it is still far from being realized in Vision-Language Models (VLMs), espe…
VisualTrans: A Benchmark for Real-World Visual Transformation Reasoning
Yuheng Ji, Yipu Wang, Yuyang Liu +5
Visual transformation reasoning (VTR) is a vital cognitive capability that empowers intelligent agents to understand dynamic scenes, model causal relationships, and predict future…
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu +3
Spatiotemporal Graph Learning (SGL) under Zero-Inflated Distribution (ZID) is crucial for urban risk management tasks, including crime prediction and traffic accident profiling. Ho…
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
Yuheng Ji, Yue Liu, Zhicheng Zhang +6
Vision-Language Models (VLMs) play a crucial role in the advancement of Artificial General Intelligence (AGI). As AGI rapidly evolves, addressing security concerns has emerged as o…