Transferring GANs: Generating Images from Limited Data. - Yaxing Wang; Chenshen Wu; Luis Herranz; Joost van de Weijer 001; Abel Gonzalez-Garcia; Bogdan Raducanu (ECCV (6), 2018)

Memory Replay GANs: Learning to Generate New Categories without Forgetting. - Chenshen Wu; Luis Herranz; Xialei Liu; Yaxing Wang; Joost van de Weijer 001; Bogdan Raducanu (NeurIPS, 2018)

Memory Replay GANs: learning to generate images from new categories without forgetting. - Chenshen Wu; Luis Herranz; Xialei Liu; Yaxing Wang; Joost van de Weijer 001; Bogdan Raducanu (CoRR, 2018)

Generative Feature Replay For Class-Incremental Learning. - Xialei Liu; Chenshen Wu; Mikel Menta; Luis Herranz; Bogdan Raducanu; Andrew D. Bagdanov; Shangling Jui; Joost van de Weijer 001 (CVPR Workshops, 2020)

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Yaxing Wang; Abel Gonzalez-Garcia; Chenshen Wu; Luis Herranz; Fahad Shahbaz Khan; Shangling Jui; Joost van de Weijer 001 (CoRR, 2021)

Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. - Kai Wang 060; Chenshen Wu; Andy Bagdanov; Xialei Liu; Shiqi Yang; Shangling Jui; Joost van de Weijer 001 (BMVC, 2022)

Density Map Distillation for Incremental Object Counting. - Chenshen Wu; Joost van de Weijer 001 (CVPR Workshops, 2023)

Going beyond Classification Problems for the Continual Learning of Deep Neural Networks - Chenshen Wu (2024)

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Yaxing Wang; Abel Gonzalez-Garcia; Chenshen Wu; Luis Herranz; Fahad Shahbaz Khan; Shangling Jui; Jian Yang 003; Joost van de Weijer 001 (Int. J. Comput. Vis., 2024)