6 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…
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…
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…
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…
HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs
Zijian Zhang, Xuecheng Wu, Danlei Huang +3
Driven by the rapid progress in vision-language models (VLMs), the responsible behavior of large-scale multimodal models has become a prominent research area, particularly focusing…
3A-YOLO: New Real-Time Object Detectors with Triple Discriminative Awareness and Coordinated Representations
Xuecheng Wu, Junxiao Xue, Liangyu Fu +3
Recent research on real-time object detectors (e.g., YOLO series) has demonstrated the effectiveness of attention mechanisms for elevating model performance. Nevertheless, existing…