| Memory Replay GANs: learning to generate images from new categories without forgetting C Wu, L Herranz, X Liu, Y Wang, J van de Weijer, B Raducanu Conference on Neural Information Processing Systems(NIPS), 2018 | 403* | 2018 |
| Transferring GANs: generating images from limited data Y Wang, C Wu, L Herranz, J van de Weijer, A Gonzalez-Garcia, ... European Conference on Computer Vision(ECCV), 2018 | 317 | 2018 |
| Generative feature replay for class-incremental learning X Liu, C Wu, M Menta, L Herranz, B Raducanu, AD Bagdanov, S Jui, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 131 | 2020 |
| Minegan++: Mining generative models for efficient knowledge transfer to limited data domains Y Wang, A Gonzalez-Garcia, C Wu, L Herranz, FS Khan, S Jui, J Yang, ... International Journal of Computer Vision 132 (2), 490-514, 2024 | 4 | 2024 |
| Density map distillation for incremental object counting C Wu, J van de Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Positive pair distillation considered harmful: Continual meta metric learning for lifelong object re-identification K Wang, C Wu, A Bagdanov, X Liu, S Yang, S Jui, J van de Weijer arXiv preprint arXiv:2210.01600, 2022 | 2 | 2022 |
| Supplementary Material: Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification K Wang, C Wu, A Bagdanov, X Liu, S Yang, S Jui, J van de Weijer | | 2022 |
| Lifelong Learning for Intelligent Vision Systems C Wu | | |
