activity
20242026
collaborators

10 papers

cs.CV2026

RePose: A Real-Time 3D Human Pose Estimation and Biomechanical Analysis Framework for Rehabilitation

Junxiao Xue, Pavel Smirnov, Ziao Li +13

We propose a real-time 3D human pose estimation and motion analysis method termed RePose for rehabilitation training. It is capable of real-time monitoring and evaluation of patien…

cs.CV2026

Disentangling Hardness from Noise: An Uncertainty-Driven Model-Agnostic Framework for Long-Tailed Remote Sensing Classification

Chi Ding, Junxiao Xue, Xinyi Yin +5

Long-Tailed distributions are pervasive in remote sensing due to the inherently imbalanced occurrence of grounded objects. However, a critical challenge remains largely overlooked,…

cs.CV2025

Scalable Audio-Visual Masked Autoencoders for Efficient Affective Video Facial Analysis

Xuecheng Wu, Junxiao Xue, Xinyi Yin +7

Affective video facial analysis (AVFA) has emerged as a key research field for building emotion-aware intelligent systems, yet this field continues to suffer from limited data avai…

cs.CV2025

Towards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLM

Junxiao Xue, Quan Deng, Xuecheng Wu +7

Remote sensing change understanding (RSCU) is essential for analyzing remote sensing images and understanding how human activities affect the environment. However, existing dataset…

cs.CV2025

FAMNet: Integrating 2D and 3D Features for Micro-expression Recognition via Multi-task Learning and Hierarchical Attention

Liangyu Fu, Xuecheng Wu, Danlei Huang +1

Micro-expressions recognition (MER) has essential application value in many fields, but the short duration and low intensity of micro-expressions (MEs) bring considerable challenge…

cs.CV2025

TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations

Xinyi Yin, Wenbo Yuan, Xuecheng Wu +2

Abnormal Human Behavior Detection (AHBD) under special scenarios is becoming increasingly crucial. While YOLO-based detection methods excel in real-time tasks, they remain hindered…