Lu Yu

33 papers A* 8A 1B 1Misc 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness.
CoRR
Lu Yu, Haiyang Zhang, Changsheng Xu
2025 A* conf
Language Guided Concept Bottleneck Models for Interpretable Continual Learning.
CVPR
Lu Yu, Haoyu Han, Zhe Tao, Hantao Yao, Changsheng Xu
2025 J jnl
Language Guided Concept Bottleneck Models for Interpretable Continual Learning.
CoRR
Lu Yu, Haoyu Han, Zhe Tao, Hantao Yao, Changsheng Xu
2025 A conf
Leveraging Multiple Deep Experts for Online Class-incremental Learning.
ICME
Zhe Tao, Lu Yu, Hantao Yao, Changsheng Xu
2025 A* conf
Locality Preserving Markovian Transition for Instance Retrieval.
ICML
Jifei Luo, Wenzheng Wu, Hantao Yao, Lu Yu, Changsheng Xu
2025 J jnl
Locality Preserving Markovian Transition for Instance Retrieval.
CoRR
Jifei Luo, Wenzheng Wu, Hantao Yao, Lu Yu, Changsheng Xu
2024 J jnl
Camera-Incremental Object Re-Identification With Identity Knowledge Evolution.
IEEE Trans. Multim.
Hantao Yao, Jifei Luo, Lu Yu, Changsheng Xu
2024 J jnl
Class Incremental Learning for Light-Weighted Networks.
IEEE Trans. Circuits Syst. Video Technol.
Zhe Tao, Lu Yu, Hantao Yao, Shucheng Huang, Changsheng Xu
2024 J jnl
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning.
CoRR
Lu Yu, Zhe Tao, Hantao Yao, Joost van de Weijer, Changsheng Xu
2024 J jnl
Few-shot Incremental Learning with Textual Knowledge Embedding by Visual-language Model.
Int. J. Softw. Informatics
Hantao Yao, Lu Yu, Changsheng Xu
2024 A* conf
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning.
AAAI
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
2024 J jnl
Hierarchical Prompts for Rehearsal-free Continual Learning.
CoRR
Yukun Zuo, Hantao Yao, Lu Yu, Liansheng Zhuang, Changsheng Xu
2024 J jnl
SEP: Self-Enhanced Prompt Tuning for Visual-Language Model.
CoRR
Hantao Yao, Rui Zhang, Lu Yu, Changsheng Xu
2024 A* conf
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models.
NeurIPS
Lu Yu, Haiyang Zhang, Changsheng Xu
2024 J jnl
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models.
CoRR
Lu Yu, Haiyang Zhang, Changsheng Xu
2023 J jnl
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution.
CoRR
Hantao Yao, Lu Yu, Jifei Luo, Changsheng Xu
2023 J jnl
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning.
CoRR
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
2023 J jnl
Self-Training for Class-Incremental Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Lu Yu, Xialei Liu, Joost van de Weijer
2022 — conf
Continually Learning Self-Supervised Representations with Projected Functional Regularization.
CVPR Workshops
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
2022 A* conf
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data.
ICLR
Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui
2021 J jnl
Continually Learning Self-Supervised Representations with Projected Functional Regularization.
CoRR
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
2020 A* conf
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs.
NeurIPS
Yaxing Wang, Lu Yu, Joost van de Weijer
2020 J jnl
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs.
CoRR
Yaxing Wang, Lu Yu, Joost van de Weijer
2020 J jnl
Self-Training for Class-Incremental Semantic Segmentation.
CoRR
Lu Yu, Xialei Liu, Joost van de Weijer
2020 A* conf
Semantic Drift Compensation for Class-Incremental Learning.
CVPR
Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020 J jnl
Semantic Drift Compensation for Class-Incremental Learning.
CoRR
Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2019 A* conf
Learning Metrics From Teachers: Compact Networks for Image Embedding.
CVPR
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
2019 J jnl
Learning Metrics from Teachers: Compact Networks for Image Embedding.
CoRR
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
2019 — —
Semantic representation: from color to deep embeddings.
Lu Yu
2018 J jnl
Beyond Eleven Color Names for Image Understanding.
Mach. Vis. Appl.
Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Shahbaz Khan, Yongmei Cheng, C. Alejandro Párraga
2018 B conf
Weakly Supervised Domain-Specific Color Naming Based on Attention.
ICPR
Lu Yu, Yongmei Cheng, Joost van de Weijer
2018 J jnl
Weakly Supervised Domain-Specific Color Naming Based on Attention.
CoRR
Lu Yu, Yongmei Cheng, Joost van de Weijer
2015 Misc conf
Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN.
ISKE
Lu Yu, Yongmei Cheng, Xialei Liu, Nan Liu