4 papers
HM-Talker: Hybrid Motion Modeling for High-Fidelity Talking Head Synthesis
Shiyu Liu, Kui Jiang, Junjun Jiang +4
Audio-driven talking head generation faces a fundamental trade-off between personalization and generalization, limiting its practical application. Implicit models often achieve gen…
AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
Tingting Zheng, Hongxun Yao, Kui Jiang +2
Recent advances in multi-instance learning (MIL) have witnessed impressive performance in whole slide image (WSI) analysis. However, the inherent sparsity of tumors and their morph…
DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
Xi Chen, Hongxun Yao, Zhaopan Xu +1
Source-free active domain adaptation (SFADA) enhances knowledge transfer from a source model to an unlabeled target domain using limited manual labels selected via active learning.…
M2DAO-Talker: Harmonizing Multi-granular Motion Decoupling and Alternating Optimization for Talking-head Generation
Kui Jiang, Shiyu Liu, Junjun Jiang +2
Audio-driven talking head generation holds significant potential for film production. While existing 3D methods have advanced motion modeling and content synthesis, they often prod…