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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


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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 Sch├Âlkopf

* NeurIPS 2021 

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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


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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

* 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 K├╝gelgen, Frederik Tr├Ąuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Sch├Âlkopf, Francesco Locatello, Wieland Brendel


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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


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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


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Towards Total Recall in Industrial Anomaly Detection


Jun 15, 2021
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Sch├Âlkopf, 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

* Web: https://domainadaptation.org/selflearning 

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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" 

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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

* 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

* 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

* 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

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

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