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Marc Masana, Bartlomiej Twardowski, & Joost Van de Weijer. (2020). On Class Orderings for Incremental Learning. In ICML Workshop on Continual Learning.
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David Berga, Marc Masana, & Joost Van de Weijer. (2020). Disentanglement of Color and Shape Representations for Continual Learning. In ICML Workshop on Continual Learning.
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M. Li, Xialei Liu, Joost Van de Weijer, & Bogdan Raducanu. (2020). Learning to Rank for Active Learning: A Listwise Approach. In 25th International Conference on Pattern Recognition (pp. 5587–5594).
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Carola Figueroa Flores, Bogdan Raducanu, David Berga, & Joost Van de Weijer. (2021). Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. In 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 4, pp. 163–171).
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Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew Bagdanov, & Joost Van de Weijer. (2020). Recurrent attention to transient tasks for continual image captioning. In 34th Conference on Neural Information Processing Systems.
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Yaxing Wang, Lu Yu, & Joost Van de Weijer. (2020). DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. In 34th Conference on Neural Information Processing Systems.
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Kai Wang, Luis Herranz, Anjan Dutta, & Joost Van de Weijer. (2020). Bookworm continual learning: beyond zero-shot learning and continual learning. In Workshop TASK-CV 2020.
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Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew Bagdanov, et al. (2020). Generative Feature Replay for Class-Incremental Learning. In CLVISION – Workshop on Continual Learning in Computer Vision.
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Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, & Joost Van de Weijer. (2020). MineGAN: effective knowledge transfer from GANs to target domains with few images. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmai Cheng, et al. (2020). Semantic Drift Compensation for Class-Incremental Learning of Embeddings. In 33rd IEEE Conference on Computer Vision and Pattern Recognition.
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Yaxing Wang, Joost Van de Weijer, Lu Yu, & Shangling Jui. (2022). Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. In 10th International Conference on Learning Representations.
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Aitor Alvarez-Gila, Joost Van de Weijer, & Estibaliz Garrote. (2017). Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. In 1st International Workshop on Physics Based Vision meets Deep Learning.
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Ivet Rafegas, & Maria Vanrell. (2017). Color representation in CNNs: parallelisms with biological vision. In ICCV Workshop on Mutual Benefits ofr Cognitive and Computer Vision.
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Marc Masana, Joost Van de Weijer, Luis Herranz, Andrew Bagdanov, & Jose Manuel Alvarez. (2017). Domain-adaptive deep network compression. In 17th IEEE International Conference on Computer Vision.
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Xialei Liu, Joost Van de Weijer, & Andrew Bagdanov. (2017). RankIQA: Learning from Rankings for No-reference Image Quality Assessment. In 17th IEEE International Conference on Computer Vision.
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Hassan Ahmed Sial, S. Sancho, Ramon Baldrich, Robert Benavente, & Maria Vanrell. (2018). Color-based data augmentation for Reflectance Estimation. In 26th Color Imaging Conference (pp. 284–289).
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JW Xiao, CB Zhang, J. Feng, Xialei Liu, Joost Van de Weijer, & MM Cheng. (2023). Endpoints Weight Fusion for Class Incremental Semantic Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7204–7213).
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, et al. (2023). NTIRE 2023 challenge on image denoising: Methods and results. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 1904–1920).
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