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Lu Yu 0004
Person information
- affiliation: Northwestern Polytechnical University, Key Laboratory of Information Fusion Technology, Xi'an, China
- affiliation: Universitat Autonoma de Barcelona, Computer Vision Center/Computer Science Department, Spain
Other persons with the same name
- Lu Yu — disambiguation page
- Lu Yu 0001 — Clemson University, Department of Electrical and Computer Engineering, SC, USA
- Lu Yu 0003 — Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China
- Lu Yu 0005 — Waseda University, Kitakyushu, Japan
- Lu Yu 0006 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Lu Yu 0007 — Hang Seng University of Hong Kong, Department of Computing, Hong Kong (and 1 more)
- Lu Yu 0008 — Army Engineering University of PLA, College of Communication Engineering, Nanjing, Jiangsu, China (and 1 more)
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2020 – today
- 2024
- [j5]Hantao Yao, Lu Yu, Changsheng Xu:
Few-shot Incremental Learning with Textual Knowledge Embedding by Visual-language Model. Int. J. Softw. Informatics 14(2): 123-144 (2024) - [j4]Zhe Tao, Lu Yu, Hantao Yao, Shucheng Huang, Changsheng Xu:
Class Incremental Learning for Light-Weighted Networks. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12210-12220 (2024) - [j3]Hantao Yao, Jifei Luo, Lu Yu, Changsheng Xu:
Camera-Incremental Object Re-Identification With Identity Knowledge Evolution. IEEE Trans. Multim. 26: 11246-11260 (2024) - [c8]Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng:
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. AAAI 2024: 6971-6978 - [i12]Yukun Zuo, Hantao Yao, Lu Yu, Liansheng Zhuang, Changsheng Xu:
Hierarchical Prompts for Rehearsal-free Continual Learning. CoRR abs/2401.11544 (2024) - [i11]Hantao Yao, Rui Zhang, Lu Yu, Changsheng Xu:
SEP: Self-Enhanced Prompt Tuning for Visual-Language Model. CoRR abs/2405.15549 (2024) - [i10]Lu Yu, Zhe Tao, Hantao Yao, Joost van de Weijer, Changsheng Xu:
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. CoRR abs/2408.01076 (2024) - [i9]Lu Yu, Haiyang Zhang, Changsheng Xu:
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models. CoRR abs/2410.21802 (2024) - 2023
- [j2]Lu Yu, Xialei Liu, Joost van de Weijer:
Self-Training for Class-Incremental Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9116-9127 (2023) - [i8]Hantao Yao, Lu Yu, Jifei Luo, Changsheng Xu:
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution. CoRR abs/2305.15909 (2023) - [i7]Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng:
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning. CoRR abs/2312.12722 (2023) - 2022
- [c7]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: 3866-3876 - [c6]Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui:
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR 2022 - 2021
- [i6]Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer:
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR abs/2112.15022 (2021) - 2020
- [c5]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: 6980-6989 - [c4]Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. NeurIPS 2020 - [i5]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 abs/2004.00440 (2020) - [i4]Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. CoRR abs/2011.05867 (2020) - [i3]Lu Yu, Xialei Liu, Joost van de Weijer:
Self-Training for Class-Incremental Semantic Segmentation. CoRR abs/2012.03362 (2020)
2010 – 2019
- 2019
- [b1]Lu Yu:
Semantic representation: from color to deep embeddings. Autonomous University of Barcelona, Spain, 2019 - [c3]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: 2907-2916 - [i2]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 abs/1904.03624 (2019) - 2018
- [j1]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): 361-373 (2018) - [c2]Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. ICPR 2018: 3019-3024 - [i1]Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. CoRR abs/1805.04385 (2018) - 2015
- [c1]Lu Yu, Yongmei Cheng, Xialei Liu, Nan Liu:
Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN. ISKE 2015: 485-488
Coauthor Index
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