132 citations · 166 across the 6 of their papers we have counts for
19 papers
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure
Paul Henderson, Christoph H. Lampert, Bernd Bickel
Our goal in this work is to generate realistic videos given just one initial frame as input. Existing unsupervised approaches to this task do not consider the fact that a video typ…
Towards Understanding Knowledge Distillation
Mary Phuong, Christoph H. Lampert
Knowledge distillation, i.e., one classifier being trained on the outputs of another classifier, is an empirically very successful technique for knowledge transfer between classifi…
Fairness Through Regularization for Learning to Rank
Nikola Konstantinov, Christoph H. Lampert
Given the abundance of applications of ranking in recent years, addressing fairness concerns around automated ranking systems becomes necessary for increasing the trust among end-u…
A Flexible Selection Scheme for Minimum-Effort Transfer Learning
Amelie Royer, Christoph H. Lampert
Fine-tuning is a popular way of exploiting knowledge contained in a pre-trained convolutional network for a new visual recognition task. However, the orthogonal setting of transfer…
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson, Christoph H. Lampert
A natural approach to generative modeling of videos is to represent them as a composition of moving objects. Recent works model a set of 2D sprites over a slowly-varying background…
Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios
Amelie Royer, Christoph H. Lampert
State-of-the-art detection systems are generally evaluated on their ability to exhaustively retrieve objects densely distributed in the image, across a wide variety of appearances…