Philip Häusser

12 papers A* 4Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Spatio-Temporal Activation Wavefront Reconstruction From Sparsely Sampled Electrograms. IEEE Trans. Biomed. Eng. Kostiantyn Ahapov, Peter Ruppersberg, Philip Häusser, Melissa H. Kong, Michael Möller
2018	—	`conf`	Associative Deep Clustering: Training a Classification Network with No Labels. GCPR Philip Häusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, Daniel Cremers
2018	—	`—`	Learning by Association: Strategies for solving computer vision tasks with less labeled data. Philip Häusser
2017	A*	`conf`	Associative Domain Adaptation. ICCV Philip Häusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers
2017	J	`jnl`	Associative Domain Adaptation. CoRR Philip Häusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers
2017	J	`jnl`	Better Text Understanding Through Image-To-Text Transfer. CoRR Karol Kurach, Sylvain Gelly, Michal Jastrzebski, Philip Häusser, Olivier Teytaud, Damien Vincent, Olivier Bousquet
2017	A*	`conf`	Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks. CVPR Philip Häusser, Alexander Mordvintsev, Daniel Cremers
2017	J	`jnl`	Learning by Association - A versatile semi-supervised training method for neural networks. CoRR Philip Häusser, Alexander Mordvintsev, Daniel Cremers
2016	A*	`conf`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2015	J	`jnl`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2015	A*	`conf`	FlowNet: Learning Optical Flow with Convolutional Networks. ICCV Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	J	`jnl`	FlowNet: Learning Optical Flow with Convolutional Networks. CoRR Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox