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Peter Gehler

Unsupervised Object Learning via Common Fate


Oct 13, 2021
Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf

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Dynamic Inference with Neural Interpreters


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

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* NeurIPS 2021 
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You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction


Oct 11, 2021
Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf

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


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

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* ICCV 2021, 14 pages, 13 figures 
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Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


Jul 23, 2021
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel

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


Jul 12, 2021
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer

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Backward-Compatible Prediction Updates: A Probabilistic Approach


Jul 02, 2021
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter Gehler

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Towards Total Recall in Industrial Anomaly Detection


Jun 15, 2021
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter Gehler

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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

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* Web: https://domainadaptation.org/selflearning 
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Towards causal generative scene models via competition of experts


Apr 27, 2020
Julius von Kügelgen, Ivan Ustyuzhaninov, Peter Gehler, Matthias Bethge, Bernhard Schölkopf

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

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* 4 pages, 3 figures, 2 tables, Proceedings of the 26th Color and Imaging Conference 
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Deep Directional Statistics: Pose Estimation with Uncertainty Quantification


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

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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

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* To appear in ECCV 2016 
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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

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* Accepted at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) 
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3D Object Class Detection in the Wild


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

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Multi-View Priors for Learning Detectors from Sparse Viewpoint Data


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

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