5 papers
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…
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
Siyu Yan, Long Zeng, Xuecheng Wu +6
As large language models~(LLMs) become widely adopted, ensuring their alignment with human values is crucial to prevent jailbreaks where adversaries manipulate models to produce ha…
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…
A Trustworthy Method for Multimodal Emotion Recognition
Junxiao Xue, Xiaozhen Liu, Jie Wang +2
Existing emotion recognition methods mainly focus on enhancing performance by employing complex deep models, typically resulting in significantly higher model complexity. Although…
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…