Rethinking Optical Flow Methods for Micro-Expression Spotting. - Yuan Zhao 006; Xin Tong; Zichong Zhu; Jianda Sheng; Lei Dai; Lingling Xu; Xuehai Xia; Yu Jiang; Jiao Li (ACM Multimedia, 2022)

Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - Xiaoqi Zhao; Youwei Pang; Shijie Chang; Yuan Zhao 006; Lihe Zhang; Huchuan Lu; Jinsong Ouyang; Georges El Fakhri; Xiaofeng Liu 001 (CoRR, 2024)

FocusCLIP: Focusing on Anomaly Regions by Visual-Text Discrepancies. - Yuan Zhao 006; Jiayu Sun; Lihe Zhang; Huchuan Lu (IEEE Trans. Circuits Syst. Video Technol., 2025)

UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression. - Yuan Zhao 006; Youwei Pang; Lihe Zhang; Hanqi Liu; Jiaming Zuo; Huchuan Lu; Xiaoqi Zhao (CoRR, 2025)