Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation. - Zhengyuan Xie; Haiquan Lu; Jia-Wen Xiao; Enguang Wang; Le Zhang; Xialei Liu (ECCV (26), 2024)

Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. - Zhimao Peng; Enguang Wang; Xialei Liu; Ming-Ming Cheng (IJCAI, 2024)

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. - Enguang Wang; Zhimao Peng; Zhengyuan Xie; Xialei Liu; Ming-Ming Cheng (CoRR, 2024)

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. - Enguang Wang; Zhimao Peng; Zhengyuan Xie; Fei Yang; Xialei Liu; Ming-Ming Cheng (CVPR, 2025)

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery. - Enguang Wang; Zhimao Peng; Zhengyuan Xie; Haori Lu; Fei Yang; Xialei Liu (CoRR, 2025)

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution. - Haori Lu; Xusheng Cao; Linlan Huang; Enguang Wang; Fei Yang; Xialei Liu (CoRR, 2025)

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning. - Xinbin Yuan; Jian Zhang; Kaixin Li; Zhuoxuan Cai; Lujian Yao; Jie Chen; Enguang Wang; Qibin Hou; Jinwei Chen; Peng-Tao Jiang; Bo Li 026 (CoRR, 2025)

Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection. - Zhimao Peng; Enguang Wang; Xialei Liu; Ming-Ming Cheng (IEEE Trans. Circuits Syst. Video Technol., 2025)