1 citations · 1 across the 10 of their papers we have counts for
12 papers
AutoAgent0: An Agentic Runtime for Safe Closed-Loop Driving
Jiageng Liu, Seth Z. Zhao, Zewei Zhou +9
Safe autonomous driving requires more than accurate planning at a single frame: it demands reliable closed-loop execution in dynamic environments. Although end-to-end driving polic…
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…
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…
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…
GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
Yiran Ding, Yuen Gao, Chunqi Qian +1
Behavioral phenotyping of genetic animal models currently requires labor-intensive manual feature engineering that limits reproducibility and scalability. We present GEESE, an end-…
Do Joint Audio-Video Generation Models Understand Physics?
Zijun Cui, Xiulong Liu, Hao Fang +8
Joint audio-video generation models are rapidly approaching professional production quality, raising a central question: do they understand audio-visual physics, or merely generate…
Grading the Unspoken: Evaluating Tacit Reasoning in Quantum Field Theory and String Theory with LLMs
Xingyang Yu, Yinghuan Zhang, Yufei Zhang +1
Large language models have demonstrated impressive performance across many domains of mathematics and physics. One natural question is whether such models can support research in h…
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…
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…
Bayesian Network Structure Discovery Using Large Language Models
Yinghuan Zhang, Yufei Zhang, Parisa Kordjamshidi +1
Understanding probabilistic dependencies among variables is central to analyzing complex systems. Traditional structure learning methods often require extensive observational data…
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…
Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
Aliakbar Nafar, Kristen Brent Venable, Zijun Cui +1
In this work, we evaluate the potential of Large Language Models (LLMs) in building Bayesian Networks (BNs) by approximating domain expert priors. LLMs have demonstrated potential…