Recently, PhD student Simon Jenni visited the AI Summer School P.A.I.S.S. in Grenoble and received the award for best poster for his CVPR work Self-Supervised Feature Learning by Learning to Spot Artifacts. Congratulations!

We are very happy to announce that we have a total of eight accepted papers in the conferences CVPR, ECCV and SIGGRAPH. For CVPR we have a new record of four accepted submissions:

• Disentangling Factors of Variation by Mixing Them by Hu et al.
• Learning to Extract a Video Sequence from a Single Motion-Blurred Image by Jin et al.
• Self-Supervised Feature Learning by Learning to Spot Artifacts by Jenni et al.
• Boosting Self-Supervised Learning via Knowledge Transfer by Noroozi et al.

A common theme of all of these works is “self-supervised learning”, a trending topic in Computer Vision and Deep Learning that our group is very much interested in. Furthermore, in ECCV we have

• "Deep Bilevel Learning" by Jenni et al.,
• "Understanding Degeneracies and Ambiguities in Attribute Transfer" by Szabó et al.,
• and "Normalized Blind Deconvolution" by Jin et al.

We also have a SIGGRAPH work FaceShop: Deep Sketch-based Image Editing by Portenier et al. that got attention in the press. You can read the article here.