most citedExtracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization

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cs.CV2026

SiPhy: Single-Image Physical Property Reasoning

Hoang Le, Joonwoo Kwon, Elkhan Ismayilzada +2

Inferring physical properties such as mass, stiffness, and elasticity from a single image is essential for simulation and embodied AI, yet most existing approaches rely on multi-vi…

cs.CV2026

SceneBind: Binding What and Where Across Vision, Audio and Language

Mingfei Chen, Zijun Cui, Ruoke Zhang +2

We present SceneBind, an omni-modal representation of realistic scenes with joint semantic and 3D spatial understanding across vision, audio and language. Existing omni-modal encod…

cs.CV2026

Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks

Yangting Sun, Zijun Cui, Yufei Zhang

In many real-world systems, including articulated robots and biomechanical models, rotations are defined in joint space and naturally parameterized by Euler angles with bounded ran…

cs.CV2026

PAD-Hand: Physics-Aware Diffusion for Hand Motion Recovery

Elkhan Ismayilzada, Yufei Zhang, Zijun Cui

Significant advancements made in reconstructing hands from images have delivered accurate single-frame estimates, yet they often lack physics consistency and provide no notion of h…

cs.CV2025

Beyond Motion Pattern: An Empirical Study of Physical Forces for Human Motion Understanding

Anh Dao, Manh Tran, Yufei Zhang +2

Human motion understanding has advanced rapidly through vision-based progress in recognition, tracking, and captioning. However, most existing methods overlook physical cues such a…

cs.CV2025

SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing

Mingfei Chen, Zijun Cui, Xiulong Liu +4

3D spatial reasoning in dynamic, audio-visual environments is a cornerstone of human cognition yet remains largely unexplored by existing Audio-Visual Large Language Models (AV-LLM…