About me

Joost van de Weijer
Position: Senior Scientist
Centre de Visió per Computador
Universitat Autònoma de Barcelona
Edifici O, Campus UAB
08193 – Bellaterra – Cerdanyola – Spain
Fax: +34 93 581 1670
Tel: +34 93 581 4905
E-mail: joost AT cvc DOT uab DOT es

CV

I am the leader of the Learning and Machine Perception Team (LAMP) and a senior researcher at the Computer Vision Center (Universitat Autònoma de Barcelona). My main research interest is in applying color imaging theory to the field of computer vision: color constancy, color naming, object recognition, recoloring algorithms, color feature detection and color feature extraction.

An overview of my publications is available in Google Scholar.

Selection latest arXiv papers


  • Y. Wang, L. Herranz, and J. van de Weijer, “Mix and match networks: multi-domain alignment for unpaired image-to-image translation,” Arxiv, 2019.
    [PDF] | [URL] | [Bibtex]
    @article{yaxing2019mix,
    title={Mix and match networks: multi-domain alignment for unpaired image-to-image translation},
    author={Wang, Yaxing and Herranz, Luis and van de Weijer,Joost },
    journal={ARXIV},
    url = {https://github.com/yaxingwang/Mix-and-match-networks},
    year={2019}
    }

Selection Latest Publications


  • X. Liu, J. Van de Weijer, and A. D. Bagdanov, “Exploiting unlabeled data in cnns by self-supervised learning to rank,” Ieee transactions on pattern analysis and machine intelligence, 2019.
    [PDF] | [Bibtex]
    @article{xialei2019ranking,
    title={Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank},
    author={Liu, Xialei and Van de Weijer, Joost and Bagdanov,Andrew D.},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    year={2019}
    }

  • L. Yu, V. W. J. de Vacit Oguz Yazici, Y. Cheng, and A. Ramisa, “Learning metrics from teachers: compact networks for image embedding,” in Proceedings of ieee conference on computer vision and pattern recognition (cvpr), 2019.
    [PDF] | [URL] | [Bibtex]
    @inproceedings{lu2019metrics,
    title={Learning Metrics from Teachers: Compact Networks for Image Embedding},
    author={Yu, Lu and Vacit Oguz, Yazici, Van de Weijer, Joost and Cheng,Yongmei and Ramisa, Arnau},
    booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2019},
    url = {https://github.com/yulu0724/EmbeddingDistillation}
    }

  • A. Gonzalez-Garcia, J. van de Weijer, and Y. Bengio, “Image-to-image translation for cross-domain disentanglement,” in Conference on neural information processing systems (neurips), 2018.
    [PDF] | [URL] | [Bibtex]
    @inproceedings{abel2018disentanglement,
    title={Image-to-image translation for cross-domain disentanglement},
    author={Gonzalez-Garcia, Abel and van de Weijer, Joost and Bengio, Yoshua},
    booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
    url = {https://github.com/agonzgarc/cross-domain-disen},
    year={2018}
    }

  • C. Wu, L. Herranz, X. Liu, Y. Wang, J. van de Weijer, and B. Raducanu, “Memory replay gans: learning to generate images from new categories without forgetting,” in Conference on neural information processing systems (neurips), 2018.
    [PDF] | [URL] | [Bibtex]
    @inproceedings{chenshen2018mergan,
    title={Memory Replay GANs: learning to generate images from new categories without forgetting},
    author={Wu, Chenshen and Herranz, Luis and Liu, Xialei and Wang, Yaxing and van de Weijer, Joost and Raducanu, Bogdan},
    booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
    url = {http://www.lherranz.org/2018/10/29/mergans/},
    year={2018}
    }

  • Y. Wang, W. Chenshen, L. Herranz, J. van de Weijer, A. Gonzalez{-}Garcia, and B. Raducanu, “Transferring gans: generating images from limited data,” in Proceedings of european conference on computer vision (eccv), 2018.
    [PDF] | [URL] | [Bibtex]
    @inproceedings{yaxing2018transfer,
    title={Transferring GANs: generating images from limited data},
    author={Wang, Yaxing and Wu. Chenshen and Herranz, Luis and van de Weijer, Joost and Gonzalez{-}Garcia, Abel and Raducanu, Bogdan},
    booktitle={Proceedings of European Conference on Computer Vision (ECCV)},
    year={2018},
    url = {https://github.com/yaxingwang/Transferring-GANs}
    }

  • Y. Wang, J. van de Weijer, and L. Herranz, “Mix and match networks: encoder-decoder alignment for zero-pair imagetranslation,” in Proceedings of ieee conference on computer vision and pattern recognition (cvpr), 2018.
    [PDF] | [URL] | [Bibtex]
    @inproceedings{yaxing2018mix,
    title={Mix and match networks: encoder-decoder alignment for zero-pair imagetranslation},
    author={Wang, Yaxing and van de Weijer, Joost and Herranz, Luis},
    booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2018},
    url = {https://github.com/yaxingwang/Mix-and-match-networks}
    }

  • X. Liu, J. van de Weijer, and A. D. Bagdanov, “Leveraging unlabeled data for crowd counting by learning to rank,” in Proceedings of ieee conference on computer vision and pattern recognition (cvpr), 2018.
    [PDF] | [URL] | [Bibtex]
    @inproceedings{xialei2018crowd,
    title={Leveraging Unlabeled Data for Crowd Counting by Learning to Rank},
    author={Liu, Xialei and van de Weijer, Joost and Bagdanov, Andrew D},
    booktitle={Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2018},
    url = {https://github.com/xialeiliu/CrowdCountingCVPR18}
    }

news

For latest news see the LAMP page.