Philip Häusser

Learning by Association: Strategies for solving computer vision tasks with less labeled data

Philip Häusser, 2018 .

FlowNet: Learning Optical Flow with Convolutional Networks

Thomas Brox, Alexey Dosovitskiy, Patrick van der Smagt, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning by Association — A Versatile Semi-Supervised Training Method for Neural Networks

Daniel Cremers, Alexander Mordvintsev, Philip Häusser, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Thomas Brox, Eddy Ilg, Alexey Dosovitskiy, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Associative Domain Adaptation

Daniel Cremers, Alexander Mordvintsev, Thomas Frerix, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Better Text Understanding Through Image-To-Text Transfer pdf

Olivier Teytaud, Sylvain Gelly, Olivier Bousquet, 2017, ArXiv.

Associative Deep Clustering: Training a Classification Network with No Labels

Daniel Cremers, Philip Häusser, Elie Aljalbout, 2018, GCPR.

Learning by Association

Philip Häusser, Philip Häusser, 2018 .