Refereed Conferences and Journals

2018
  • Video Synthesis from a Single Image and Motion Stroke

    Q. Hu, A. Wälchli, T. Portenier, M. Zwicker and P. Favaro, 2018. Technical Report.

    PDF arXiv 
    @article{hu2018video,
    author = {Hu, Qiyang and W{\"a}lchli, Adrian and Portenier, Tiziano and Zwicker, Matthias and Favaro, Paolo},
    journal = {arXiv preprint arXiv:1812.01874},
    title = {Video synthesis from a single image and motion stroke},
    year = {2018}
}
  • Motion Deblurring of Faces

    G. G. Chrysos, P. Favaro and S. Zafeiriou, in International Journal of Computer Vision, 2018.

    PDF 
    @article{chrysos2018motion,
  title={Motion deblurring of faces},
  author={Chrysos, Grigorios G and Favaro, Paolo and Zafeiriou, Stefanos},
  journal={International Journal of Computer Vision},
  pages={1--23},
  year={2018},
  publisher={Springer}
}
  • Normalized Blind Deconvolution

    M. Jin, S. Roth, P. Favaro, in European Conference on Computer Vision (ECCV), 2018.

    PDF Project 
    @inproceedings{jin2018normalized,
  title={Normalized Blind Deconvolution},
  author={Jin, Meiguang and Roth, Stefan and Favaro, Paolo},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  pages={668--684},
  year={2018}
}
  • Understanding Degeneracies and Ambiguities in Attribute Transfer

    A. Szabó, Q. Hu, T. Portenier, M. Zwicker, P. Favaro, in European Conference on Computer Vision (ECCV), pp. 700-714, 2018.

    PDF Poster 
    @inproceedings{szabo2018understanding,
  title={Understanding Degeneracies and Ambiguities in Attribute Transfer},
  author={Szabo, Attila and Hu, Qiyang and Portenier, Tiziano and Zwicker, Matthias and Favaro, Paolo},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  pages={700--714},
  year={2018}
}
  • Deep Bilevel Learning

    S. Jenni and P. Favaro, in European Conference on Computer Vision (ECCV), pp. 618-633, 2018.

    PDF arXiv Project 
    @inproceedings{jenni2018deep,
  title={Deep Bilevel Learning},
  author={Jenni, Simon and Favaro, Paolo},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  pages={618--633},
  year={2018}
}
  • Self-Supervised Feature Learning by Learning to Spot Artifacts

    S. Jenni, and P. Favaro, in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    PDF arXiv Project Poster 
    @inproceedings{jenni2018self,
  title={Self-supervised feature learning by learning to spot artifacts},
  author={Jenni, Simon and Favaro, Paolo},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2733--2742},
  year={2018}
}
  • Boosting Self-Supervised Learning via Knowledge Transfer

    M. Noroozi, A. Vinjimoor, P. Favaro and H. Pirsiavash, in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    PDF arXiv Project 
    @inproceedings{noroozi2018boosting,
  title={Boosting self-supervised learning via knowledge transfer},
  author={Noroozi, Mehdi and Vinjimoor, Ananth and Favaro, Paolo and Pirsiavash, Hamed},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={9359--9367},
  year={2018}
}
  • Disentangling Factors of Variation by Mixing Them

    Q. Hu, A. Szabó, T. Portenier, M. Zwicker and P. Favaro, in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    PDF Project 
    @inproceedings{hu2018disentangling,
  title={Disentangling factors of variation by mixing them},
  author={Hu, Qiyang and Szab{\'o}, Attila and Portenier, Tiziano and Favaro, Paolo and Zwicker, Matthias},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={3399--3407},
  year={2018}
}
  • Fine-Grained Retrieval with Autoencoders

    T. Portenier, Q. Hu, M. Zwicker and P. Favaro, in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 5, pp. 85-95, 2018.

    PDF 
    @inproceedings{portenier2018fine,
  title={Fine-Grained Retrieval with Autoencoders.},
  author={Portenier, Tiziano and Hu, Qiyang and Favaro, Paolo and Zwicker, Matthias},
  booktitle={VISIGRAPP (5: VISAPP)},
  pages={85--95},
  year={2018}
}
  • Learning to Extract a Video Sequence from a Single Motion-Blurred Image

    M. Jin, G. Meishvili, and P. Favaro, in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    Paper Supplement
    arXiv Project Video 
    @inproceedings{jin2018learning,
  title={Learning to extract a video sequence from a single motion-blurred image},
  author={Jin, Meiguang and Meishvili, Givi and Favaro, Paolo},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={6334--6342},
  year={2018}
}
  • FaceShop: Deep Sketch-based Image Editing

    T. Portenier, Q. Hu, A. Szabó, S. Bigdeli, P. Favaro, M. Zwicker, in SIGGRAPH, 2018.

    PDF arXiv Project 
    @article{portenier2018faceshop,
  title={Faceshop: Deep sketch-based face image editing},
  author={Portenier, Tiziano and Hu, Qiyang and Szabo, Attila and Bigdeli, Siavash Arjomand and Favaro, Paolo and Zwicker, Matthias},
  journal={ACM Transactions on Graphics (TOG)},
  volume={37},
  number={4},
  pages={99},
  year={2018},
  publisher={ACM}
}
  • Challenges in Disentangling Independent Factors of Variation

    A. Szabó, Q. Hu, T. Portenier, M. Zwicker, P. Favaro, in International Conference on Learning Representations (ICLR workshop — poster only), 2018.

    PDF arXiv 
    @article{szabo2017challenges,
  title={Challenges in disentangling independent factors of variation},
  author={Szab{\'o}, Attila and Hu, Qiyang and Portenier, Tiziano and Zwicker, Matthias and Favaro, Paolo},
  journal={arXiv preprint arXiv:1711.02245},
  year={2017}
}
  • Learning Face Deblurring Fast and Wide

    M. Jin, M. Hirsch and P. Favaro, in Proc. of New Trends in Image Restoration and Enhancement workshop, 2018.

    PDF Project 
    @inproceedings{jin2018learning,
  title={Learning face deblurring fast and wide},
  author={Jin, Meiguang and Hirsch, Michael and Favaro, Paolo},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={745--753},
  year={2018}
}
  • Learning to See through Reflections

    M. Jin, S. Süsstrunk and P. Favaro, in Proc. of International Conference on Computational Photography (ICCP), 2018. (oral)

    PDF Project 
    @inproceedings{jin2018learning,
  title={Learning to see through reflections},
  author={Jin, Meiguang and S{\"u}sstrunk, Sabine and Favaro, Paolo},
  booktitle={2018 IEEE International Conference on Computational Photography (ICCP)},
  pages={1--12},
  year={2018},
  organization={IEEE}
}
  • Plenoptic Image Motion Deblurring

    P. Chandramouli, M. Jin, D. Perrone and P. Favaro, in IEEE Transactions on Image Processing, 2018.

    PDF Project 
    @article{chandramouli2018plenoptic,
  title={Plenoptic Image Motion Deblurring},
  author={Chandramouli, Paramanand and Jin, Meiguang and Perrone, Daniele and Favaro, Paolo},
  journal={IEEE Transactions on Image Processing},
  volume={27},
  number={4},
  pages={1723--1734},
  year={2018},
  publisher={IEEE}
}

PhD Theses

  • Motion Deblurring from a Single Image

    Meiguang Jin, Dec. 2018.

    PDF 
    @phdthesis{jin_2018, 
    title={Motion Deblurring from a Single Image}, 
    author={Jin, Meiguang}, 
    year={2018}
}