4 papers
ECHO: Towards Emotionally Appropriate and Contextually Aware Interactive Head Generation
Xiangyu Kong, Xiaoyu Jin, Yihan Pan +6
In natural face-to-face interaction, participants seamlessly alternate between speaking and listening, producing facial behaviors (FBs) that are finely informed by long-range conte…
U-Mind: A Unified Framework for Real-Time Multimodal Interaction with Audiovisual Generation
Xiang Deng, Feng Gao, Yong Zhang +5
Full-stack multimodal interaction in real-time is a central goal in building intelligent embodied agents capable of natural, dynamic communication. However, existing systems are ei…
UniMo: Unifying 2D Video and 3D Human Motion with an Autoregressive Framework
Youxin Pang, Yong Zhang, Ruizhi Shao +5
We propose UniMo, an innovative autoregressive model for joint modeling of 2D human videos and 3D human motions within a unified framework, enabling simultaneous generation and und…
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng, Linyuan Zhou, Han Li +3
Data mixing methods play a crucial role in semi-supervised learning (SSL), but their application is unexplored in long-tailed semi-supervised learning (LTSSL). The primary reason i…