| Semantic drift compensation for class-incremental learning L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, J Weijer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 410* | 2020 |
| Learning Metrics from Teachers: Compact Networks for Image Embedding L Yu, VO Yazici, X Liu, J van de Weijer, Y Cheng, A Ramis 2019 Computer Vision and Pattern Recognition (CVPR19), 2019 | 155 | 2019 |
| Self-training for class-incremental semantic segmentation L Yu, X Liu, J Van de Weijer IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 | 62 | 2022 |
| Continually learning self-supervised representations with projected functional regularization A Gomez-Villa, B Twardowski, L Yu, AD Bagdanov, J Van de Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 48 | 2022 |
| Beyond eleven color names for image understanding L Yu, L Zhang, J van de Weijer, FS Khan, Y Cheng, CA Parraga Machine Vision and Applications 29, 361-373, 2018 | 38 | 2018 |
| Weakly supervised domain-specific color naming based on attention L Yu, Y Cheng, J van de Weijer 2018 24th International Conference on Pattern Recognition (ICPR), 3019-3024, 2018 | 15 | 2018 |
| DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Y Wang, L Yu, J van de Weijer Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 13* | 2020 |
| Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning JT Zhai, X Liu, L Yu, MM Cheng The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), 2024 | 9 | 2024 |
| Task formulation matters when learning continually: A case study in visual question answering M Nikandrou, L Yu, A Suglia, I Konstas, V Rieser arXiv preprint arXiv:2210.00044, 2022 | 8 | 2022 |
| Going for GOAL: A resource for grounded football commentaries A Suglia, J Lopes, E Bastianelli, A Vanzo, S Agarwal, M Nikandrou, L Yu, ... arXiv preprint arXiv:2211.04534, 2022 | 7 | 2022 |
| Adversarial robustness of visual dialog L Yu, V Rieser arXiv preprint arXiv:2207.02639, 2022 | 7 | 2022 |
| Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment L Yu, M Nikandrou, J Jin, V Rieser The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023 | 4 | 2023 |
| Exploiting the semantic knowledge of pre-trained text-encoders for continual learning L Yu, Z Tao, H Yao, J Van de Weijer, C Xu arXiv preprint arXiv:2408.01076, 2024 | 2 | 2024 |
| Class incremental learning for light-weighted networks Z Tao, L Yu, H Yao, S Huang, C Xu IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 2 | 2024 |
| Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data Y Wang, L Yu, J van de Weijer, S JUI International Conference on Learning Representations (ICLR 2022), 2022 | 2 | 2022 |
| Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models L Yu, H Zhang, C Xu NeurIPS 2024, 2024 | 1 | 2024 |
| 视觉语言模型引导的文本知识嵌入的小样本增量学习 姚涵涛，余璐，徐常胜， 软件学报 35 (5), 1-19, 2023 | 1* | 2023 |
| Camera-Incremental Object Re-Identification With Identity Knowledge Evolution H Yao, J Luo, L Yu, C Xu IEEE Transactions on Multimedia, 2024 | | 2024 |
Joost van de WeijerComputer Vision Center, Universitat Autònoma de BarcelonaPatvirtintas el. paštas cvc.uab.es
