7 papers · 2 filters
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…
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…
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…
InfoSyncNet: Information Synchronization Temporal Convolutional Network for Visual Speech Recognition
Junxiao Xue, Xiaozhen Liu, Xuecheng Wu +2
Estimating spoken content from silent videos is crucial for applications in Assistive Technology (AT) and Augmented Reality (AR). However, accurately mapping lip movement sequences…
HOLA: Enhancing Audio-visual Deepfake Detection via Hierarchical Contextual Aggregations and Efficient Pre-training
Xuecheng Wu, Danlei Huang, Heli Sun +9
Advances in Generative AI have made video-level deepfake detection increasingly challenging, exposing the limitations of current detection techniques. In this paper, we present HOL…