Wei Wang

Wei Wang will defend his PhD in May 2018, with very nice contributions in computer vision, in particular in the use of deep learning (often based on recurrent networks and variational auto-encoders) for face analysis and synthesis. I had the pleasure to publish with him [1] and to be part of his PhD Jury.

Wei is currently a post-doctoral fellow at EPFL.

References

  1. W. Wei, X. Alameda-Pineda, D. Xu, E. Ricci, and N. Sebe, “Every Smile is Unique: Landmark-Guided Diverse Smile Generation,” in IEEE International Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA, 2018. [ bib pdf arxiv ]
    @inproceedings{Wang-CVPR-2018,
      title={Every Smile is Unique: Landmark-Guided Diverse Smile Generation},
      author={Wei, Wang and Alameda-Pineda, Xavier and Xu, Dan and Ricci, Elisa and Sebe, Nicu},
      booktitle={IEEE International Conference on Computer Vision and Pattern Recognition},
      year={2018},
      arxiv={http://arxiv.org/abs/1802.01873/},
      address={Salt Lake City, USA},
      pdf={http://xavirema.eu/wp-content/papercite-data/pdf/Wang-CVPR-2018.pdf}
    }

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