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Chenshen Wu
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Books and Theses
- 2024
- [b1]Chenshen Wu:
Going beyond Classification Problems for the Continual Learning of Deep Neural Networks. Autonomous University of Barcelona, Spain, 2024
Journal Articles
- 2024
- [j1]Yaxing Wang
, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer
:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. 132(2): 490-514 (2024)
Conference and Workshop Papers
- 2023
- [c5]Chenshen Wu, Joost van de Weijer:
Density Map Distillation for Incremental Object Counting. CVPR Workshops 2023: 2506-2515 - 2022
- [c4]Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer:
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC 2022: 38 - 2020
- [c3]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
:
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops 2020: 915-924 - 2018
- [c2]Yaxing Wang, Chenshen Wu, Luis Herranz
, Joost van de Weijer
, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: Generating Images from Limited Data. ECCV (6) 2018: 220-236 - [c1]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS 2018: 5966-5976
Informal and Other Publications
- 2023
- [i6]Chenshen Wu, Joost van de Weijer:
Density Map Distillation for Incremental Object Counting. CoRR abs/2304.05255 (2023) - 2022
- [i5]Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer:
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR abs/2210.01600 (2022) - 2021
- [i4]Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR abs/2104.13742 (2021) - 2020
- [i3]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz
, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CoRR abs/2004.09199 (2020) - 2018
- [i2]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: generating images from limited data. CoRR abs/1805.01677 (2018) - [i1]Chenshen Wu, Luis Herranz
, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR abs/1809.02058 (2018)
Coauthor Index
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last updated on 2024-08-18 00:31 CEST by the dblp team
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