4 papers
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni, Givi Meishvili, Paolo Favaro
We introduce a novel self-supervised learning approach to learn representations of videos that are responsive to changes in the motion dynamics. Our representations can be learned…
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Simon Jenni, Hailin Jin, Paolo Favaro
We introduce a novel principle for self-supervised feature learning based on the discrimination of specific transformations of an image. We argue that the generalization capability…
Learning to Have an Ear for Face Super-Resolution
Givi Meishvili, Simon Jenni, Paolo Favaro
We propose a novel method to use both audio and a low-resolution image to perform extreme face super-resolution (a 16x increase of the input size). When the resolution of the input…
On Stabilizing Generative Adversarial Training with Noise
Simon Jenni, Paolo Favaro
We present a novel method and analysis to train generative adversarial networks (GAN) in a stable manner. As shown in recent analysis, training is often undermined by the probabili…