6 citations · 10 across the 19 of their papers we have counts for
8 papers · 1 filter
Learning Human-Aware Robot Policies for Adaptive Assistance
Jason Qin, Shikun Ban, Wentao Zhu +2
Developing robots that can assist humans efficiently, safely, and adaptively is crucial for real-world applications such as healthcare. While previous work often assumes a centrali…
AlphaChimp: Tracking and Behavior Recognition of Chimpanzees
Xiaoxuan Ma, Yutang Lin, Yuan Xu +6
Understanding non-human primate behavior is crucial for improving animal welfare, modeling social behavior, and gaining insights into both distinctly human and shared behaviors. De…
FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling
Hang Ye, Xiaoxuan Ma, Hai Ci +2
Achieving realistic animated human avatars requires accurate modeling of pose-dependent clothing deformations. Existing learning-based methods heavily rely on the Linear Blend Skin…
SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
Chi Su, Xiaoxuan Ma, Jiajun Su +1
We propose a one-stage framework for real-time multi-person 3D human mesh estimation from a single RGB image. While current one-stage methods, which follow a DETR-style pipeline, a…
Aligning Human Motion Generation with Human Perceptions
Haoru Wang, Wentao Zhu, Luyi Miao +4
Human motion generation is a critical task with a wide range of applications. Achieving high realism in generated motions requires naturalness, smoothness, and plausibility. Despit…
Efficient Action Counting with Dynamic Queries
Xiaoxuan Ma, Zishi Li, Qiuyan Shang +4
Temporal repetition counting aims to quantify the repeated action cycles within a video. The majority of existing methods rely on the similarity correlation matrix to characterize…
Language Models Represent Beliefs of Self and Others
Wentao Zhu, Zhining Zhang, Yizhou Wang
Understanding and attributing mental states, known as Theory of Mind (ToM), emerges as a fundamental capability for human social reasoning. While Large Language Models (LLMs) appea…
Real-time Holistic Robot Pose Estimation with Unknown States
Shikun Ban, Juling Fan, Xiaoxuan Ma +3
Estimating robot pose from RGB images is a crucial problem in computer vision and robotics. While previous methods have achieved promising performance, most of them presume full kn…