Lu Yu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Incremental Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. AAAI (2024)
Lu Yu, Xialei Liu, Joost van de Weijer
Self-Training for Class-Incremental Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning. CoRR (2023)
Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR (2022)
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CVPR Workshops (2022)
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR (2021)
Yaxing Wang, Lu Yu, Joost van de Weijer
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. CoRR (2020)
Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
Semantic Drift Compensation for Class-Incremental Learning. CVPR (2020)
Yaxing Wang, Lu Yu, Joost van de Weijer
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. NeurIPS (2020)
Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
Semantic Drift Compensation for Class-Incremental Learning. CoRR (2020)
Lu Yu, Xialei Liu, Joost van de Weijer
Self-Training for Class-Incremental Semantic Segmentation. CoRR (2020)
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
Learning Metrics From Teachers: Compact Networks for Image Embedding. CVPR (2019)
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
Learning Metrics from Teachers: Compact Networks for Image Embedding. CoRR (2019)
Lu Yu, Yongmei Cheng, Joost van de Weijer
Weakly Supervised Domain-Specific Color Naming Based on Attention. ICPR (2018)
Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Shahbaz Khan, Yongmei Cheng, C. Alejandro Párraga
Beyond Eleven Color Names for Image Understanding. Mach. Vis. Appl. 29 (2) (2018)
Lu Yu, Yongmei Cheng, Joost van de Weijer
Weakly Supervised Domain-Specific Color Naming Based on Attention. CoRR (2018)
Lu Yu, Yongmei Cheng, Xialei Liu, Nan Liu
Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN. ISKE (2015)