9 citations · 9 across the 2 of their papers we have counts for
9 papers · 1 filter
Video-ReTime: Learning Temporally Varying Speediness for Time Remapping
Simon Jenni, Markus Woodson, Fabian Caba Heilbron
We propose a method for generating a temporally remapped video that matches the desired target duration while maximally preserving natural video dynamics. Our approach trains a neu…
VPN: Video Provenance Network for Robust Content Attribution
Alexander Black, Tu Bui, Simon Jenni +2
We present VPN - a content attribution method for recovering provenance information from videos shared online. Platforms, and users, often transform video into different quality, c…
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation
Simon Jenni, Paolo Favaro
Current state-of-the-art methods cast monocular 3D human pose estimation as a learning problem by training neural networks on large data sets of images and corresponding skeleton p…
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…