49 citations · 49 across the 2 of their papers we have counts for
3 papers
A Variational U-Net for Conditional Appearance and Shape Generation
Patrick Esser, Ekaterina Sutter, Björn Ommer
Deep generative models have demonstrated great performance in image synthesis. However, results deteriorate in case of spatial deformations, since they generate images of objects d…
Unsupervised Video Understanding by Reconciliation of Posture Similarities
Timo Milbich, Miguel Bautista, Ekaterina Sutter +1
Understanding human activity and being able to explain it in detail surpasses mere action classification by far in both complexity and value. The challenge is thus to describe an a…
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel A. Bautista, Artsiom Sanakoyeu, Ekaterina Sutter +1
Exemplar learning is a powerful paradigm for discovering visual similarities in an unsupervised manner. In this context, however, the recent breakthrough in deep learning could not…