Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN. - Lu Yu 004; Yongmei Cheng; Xialei Liu; Nan Liu (ISKE, 2015)

Weakly Supervised Domain-Specific Color Naming Based on Attention. - Lu Yu 004; Yongmei Cheng; Joost van de Weijer 001 (ICPR, 2018)

Beyond Eleven Color Names for Image Understanding. - Lu Yu 004; Lichao Zhang; Joost van de Weijer 001; Fahad Shahbaz Khan; Yongmei Cheng; C. Alejandro Párraga (Mach. Vis. Appl., 2018)

Learning Metrics From Teachers: Compact Networks for Image Embedding. - Lu Yu 004; Vacit Oguz Yazici; Xialei Liu; Joost van de Weijer 001; Yongmei Cheng; Arnau Ramisa (CVPR, 2019)

Semantic representation: from color to deep embeddings. - Lu Yu 004 (2019)

Semantic Drift Compensation for Class-Incremental Learning. - Lu Yu 004; Bartlomiej Twardowski; Xialei Liu; Luis Herranz; Kai Wang 060; Yongmei Cheng; Shangling Jui; Joost van de Weijer 001 (CVPR, 2020)

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. - Yaxing Wang; Lu Yu 004; Joost van de Weijer 001 (NeurIPS, 2020)

Continually Learning Self-Supervised Representations with Projected Functional Regularization. - Alex Gomez-Villa; Bartlomiej Twardowski; Lu Yu 004; Andrew D. Bagdanov; Joost van de Weijer 001 (CVPR Workshops, 2022)

Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. - Yaxing Wang; Joost van de Weijer 001; Lu Yu 004; Shangling Jui (ICLR, 2022)

Self-Training for Class-Incremental Semantic Segmentation. - Lu Yu 004; Xialei Liu; Joost van de Weijer 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. - Jiang-Tian Zhai; Xialei Liu; Lu Yu 004; Ming-Ming Cheng (AAAI, 2024)

Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models. - Lu Yu 004; Haiyang Zhang; Changsheng Xu (NeurIPS, 2024)

Hierarchical Prompts for Rehearsal-free Continual Learning. - Yukun Zuo; Hantao Yao; Lu Yu 004; Liansheng Zhuang; Changsheng Xu (CoRR, 2024)

SEP: Self-Enhanced Prompt Tuning for Visual-Language Model. - Hantao Yao; Rui Zhang 040; Lu Yu 004; Changsheng Xu (CoRR, 2024)

Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. - Lu Yu 004; Zhe Tao; Hantao Yao; Joost van de Weijer 001; Changsheng Xu (CoRR, 2024)

Few-shot Incremental Learning with Textual Knowledge Embedding by Visual-language Model. - Hantao Yao; Lu Yu 004; Changsheng Xu (Int. J. Softw. Informatics, 2024)

Camera-Incremental Object Re-Identification With Identity Knowledge Evolution. - Hantao Yao; Jifei Luo; Lu Yu 004; Changsheng Xu (IEEE Trans. Multim., 2024)

Class Incremental Learning for Light-Weighted Networks. - Zhe Tao; Lu Yu 004; Hantao Yao; Shucheng Huang; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Language Guided Concept Bottleneck Models for Interpretable Continual Learning. - Lu Yu 004; Haoyu Han; Zhe Tao; Hantao Yao; Changsheng Xu (CVPR, 2025)

Locality Preserving Markovian Transition for Instance Retrieval. - Jifei Luo; Wenzheng Wu; Hantao Yao; Lu Yu 004; Changsheng Xu (CoRR, 2025)