collaborators

10 papers

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

End4: End-to-end Denoising Diffusion for Diffusion-Based Inpainting Detection

Fei Wang, Xuecheng Wu, Zheng Zhang +3

The powerful generative capabilities of diffusion models have significantly advanced the field of image synthesis, enhancing both full image generation and inpainting-based image e…

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…

cs.MM2025

AD-AVSR: Asymmetric Dual-stream Enhancement for Robust Audio-Visual Speech Recognition

Junxiao Xue, Xiaozhen Liu, Xuecheng Wu +3

Audio-visual speech recognition (AVSR) combines audio-visual modalities to improve speech recognition, especially in noisy environments. However, most existing methods deploy the u…

cs.CV2025

eMotions: A Large-Scale Dataset and Audio-Visual Fusion Network for Emotion Analysis in Short-form Videos

Xuecheng Wu, Dingkang Yang, Danlei Huang +9

Short-form videos (SVs) have become a vital part of our online routine for acquiring and sharing information. Their multimodal complexity poses new challenges for video analysis, h…