4 papers
Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models
Hanxin Zhang, Mingshuo Xu, Abdulqader Dhafer +3
Vision-Language-Action (VLA) policies often fail under distribution shift, suggesting that decisions may depend on spurious visual correlations rather than task-relevant causes. We…
vSTMD: Visual Motion Detection for Extremely Tiny Target at Various Velocities
Mingshuo Xu, Hao Luan, Zhou Daniel Hao +2
Visual motion detection for extremely tiny (ET-) targets is challenging, due to their category-independent nature and the scarcity of visual cues, which often incapacitate mainstre…
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
Ziyan Qin, Jigen Peng, Shigang Yue +1
Compared to human vision, locust visual systems excel at rapid and precise collision detection, despite relying on only hundreds of thousands of neurons organized through a few neu…
Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
Ziyan Qin, Qinbing Fu, Jigen Peng +1
Amari's Dynamic Neural Field (DNF) framework provides a brain-inspired approach to modeling the average activation of neuronal groups. Leveraging a single field, DNF has become a p…