Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Peter Gehler

Unsupervised Object Learning via Common Fate

Oct 13, 2021
Matthias Tangemann, Steffen Schneider, Julius von K├╝gelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias K├╝mmerer, Matthias Bethge, Bernhard Sch├Âlkopf

  Access Paper or Ask Questions

Dynamic Inference with Neural Interpreters

Oct 12, 2021
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Sch├Âlkopf

* NeurIPS 2021 

  Access Paper or Ask Questions

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction

Oct 11, 2021
Osama Makansi, Julius von K├╝gelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, Bernhard Sch├Âlkopf

  Access Paper or Ask Questions

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Sep 30, 2021
Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler, Thomas Brox

* ICCV 2021, 14 pages, 13 figures 

  Access Paper or Ask Questions

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Jul 23, 2021
Lukas Schott, Julius von K├╝gelgen, Frederik Tr├Ąuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Sch├Âlkopf, Francesco Locatello, Wieland Brendel

  Access Paper or Ask Questions

Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning

Jul 12, 2021
Andrea Dittadi, Frederik Tr├Ąuble, Manuel W├╝thrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Sch├Âlkopf, Stefan Bauer

  Access Paper or Ask Questions

Backward-Compatible Prediction Updates: A Probabilistic Approach

Jul 02, 2021
Frederik Tr├Ąuble, Julius von K├╝gelgen, Matth├Ąus Kleindessner, Francesco Locatello, Bernhard Sch├Âlkopf, Peter Gehler

  Access Paper or Ask Questions

Towards Total Recall in Industrial Anomaly Detection

Jun 15, 2021
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Sch├Âlkopf, Thomas Brox, Peter Gehler

  Access Paper or Ask Questions

Adapting ImageNet-scale models to complex distribution shifts with self-learning

Apr 28, 2021
Evgenia Rusak, Steffen Schneider, Peter Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge

* Web: 

  Access Paper or Ask Questions

Towards causal generative scene models via competition of experts

Apr 27, 2020
Julius von K├╝gelgen, Ivan Ustyuzhaninov, Peter Gehler, Matthias Bethge, Bernhard Sch├Âlkopf

* Presented at the ICLR 2020 workshop "Causal learning for decision making" 

  Access Paper or Ask Questions

Rehabilitating the ColorChecker Dataset for Illuminant Estimation

Sep 17, 2018
Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter Gehler, Simone Bianco, Brian Funt, Mark Drew, Lilong Shi

* 4 pages, 3 figures, 2 tables, Proceedings of the 26th Color and Imaging Conference 

  Access Paper or Ask Questions

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

May 09, 2018
Sergey Prokudin, Peter Gehler, Sebastian Nowozin

  Access Paper or Ask Questions

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

Jul 27, 2016
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, Michael J. Black

* To appear in ECCV 2016 

  Access Paper or Ask Questions

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Apr 26, 2016
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele

* Accepted at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) 

  Access Paper or Ask Questions

3D Object Class Detection in the Wild

Mar 17, 2015
Bojan Pepik, Michael Stark, Peter Gehler, Tobias Ritschel, Bernt Schiele

  Access Paper or Ask Questions

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data

Feb 16, 2014
Bojan Pepik, Michael Stark, Peter Gehler, Bernt Schiele

* 13 pages, 7 figures, 4 tables, International Conference on Learning Representations 2014 

  Access Paper or Ask Questions