2 papers
cs.CV2026
ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos
Chia-Hsiang Kao, Cong Phuoc Huynh, Chien-Yi Wang +5
Inferring rigid-body physical states and properties from monocular videos is a fundamental step toward physics-based perception and simulation. Existing approaches assume specific…
cs.CV2026
Reinforcing Structured Chain-of-Thought for Video Understanding
Peiyao Wang, Haotian Xu, Noranart Vesdapunt +6
Multi-modal Large Language Models (MLLMs) show promise in video understanding. However, their reasoning often suffers from thinking drift and weak temporal comprehension, even when…