Peter V. Gehler

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 56

Top Topics

Adaptive Filtering

Visual Representation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele
TeST: Test-time Self-Training under Distribution Shift. WACV (2023)
Florian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS (2022)
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
Towards Total Recall in Industrial Anomaly Detection. CVPR (2022)
Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele
TeST: Test-time Self-Training under Distribution Shift. CoRR (2022)
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter V. Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning. CoRR (2021)
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. CoRR (2021)
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
Dynamic Inference with Neural Interpreters. CoRR (2021)
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
Towards Total Recall in Industrial Anomaly Detection. CoRR (2021)
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler
Backward-Compatible Prediction Updates: A Probabilistic Approach. CoRR (2021)
Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR (2021)
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
Dynamic Inference with Neural Interpreters. NeurIPS (2021)
Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. CoRR (2021)
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler
Backward-Compatible Prediction Updates: A Probabilistic Approach. NeurIPS (2021)
Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
Unsupervised Object Learning via Common Fate. CoRR (2021)
Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. CoRR (2021)
Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. ICCV (2021)
Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Mark S. Drew, Brian V. Funt, Lilong Shi
Providing a Single Ground-Truth for Illuminant Estimation for the ColorChecker Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Julius von Kügelgen, Ivan Ustyuzhaninov, Peter V. Gehler, Matthias Bethge, Bernhard Schölkopf
Towards causal generative scene models via competition of experts. CoRR (2020)
Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. ICCV (2019)
Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. GCPR (2019)
Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. CoRR (2019)
Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Mark S. Drew
Rehabilitating the Color Checker Dataset for Illuminant Estimation. CoRR (2018)
Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
Efficient 2D and 3D Facade Segmentation Using Auto-Context. IEEE Trans. Pattern Anal. Mach. Intell. 40 (5) (2018)
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation. 3DV (2018)
Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. CoRR (2018)
Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. ECCV (9) (2018)
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation. CoRR (2018)
Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Brian V. Funt, Mark S. Drew, Lilong Shi
Rehabilitating the ColorChecker Dataset for Illuminant Estimation. CIC (2018)
Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
A Generative Model of People in Clothing. ICCV (2017)
Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler
Learning to Filter Object Detections. GCPR (2017)
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CVPR (2017)
Graham D. Finlayson, Ghalia Hemrit, Arjan Gijsenij, Peter V. Gehler
A Curious Problem with Using the Colour Checker Dataset for Illuminant Estimation. CIC (2017)
Raghudeep Gadde, Varun Jampani, Peter V. Gehler
Semantic Video CNNs Through Representation Warping. ICCV (2017)
Thomas Nestmeyer, Peter V. Gehler
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation. CVPR (2017)
Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
A Generative Model of People in Clothing. CoRR (2017)
Raghudeep Gadde, Varun Jampani, Peter V. Gehler
Semantic Video CNNs through Representation Warping. CoRR (2017)
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CoRR (2017)
Varun Jampani, Raghudeep Gadde, Peter V. Gehler
Video Propagation Networks. CVPR (2017)
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. CoRR (2016)
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. ECCV (5) (2016)
Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler
Barrista: Caffe Well-Served. ACM Multimedia (2016)
Thomas Nestmeyer, Peter V. Gehler
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation. CoRR (2016)
Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
Efficient 2D and 3D Facade Segmentation using Auto-Context. CoRR (2016)
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation. CVPR (2016)
Varun Jampani, Raghudeep Gadde, Peter V. Gehler
Video Propagation Networks. CoRR (2016)
Varun Jampani, Martin Kiefel, Peter V. Gehler
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. CVPR (2016)
Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler
Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) (2016)
Martin Kiefel, Varun Jampani, Peter V. Gehler
Permutohedral Lattice CNNs. ICLR (Workshop) (2015)
Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. Comput. Vis. Image Underst. 136 (2015)
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation. CoRR (2015)
Raghudeep Gadde, Varun Jampani, Martin Kiefel, Peter V. Gehler
Superpixel Convolutional Networks using Bilateral Inceptions. CoRR (2015)
Martin Kiefel, Varun Jampani, Peter V. Gehler
Sparse Convolutional Networks using the Permutohedral Lattice. CoRR (2015)
Varun Jampani, Raghudeep Gadde, Peter V. Gehler
Efficient Facade Segmentation Using Auto-context. WACV (2015)
Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele
3D Object Class Detection in the Wild. CoRR (2015)
Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele
3D object class detection in the wild. CVPR Workshops (2015)
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
Multi-View and 3D Deformable Part Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (11) (2015)
Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models. CoRR (2014)
Alain D. Lehmann, Peter V. Gehler, Luc Van Gool
Branch&Rank for Efficient Object Detection. Int. J. Comput. Vis. 106 (3) (2014)
Naejin Kong, Peter V. Gehler, Michael J. Black
Intrinsic Video. ECCV (2) (2014)
Mykhaylo Andriluka, Leonid Pishchulin, Peter V. Gehler, Bernt Schiele
2D Human Pose Estimation: New Benchmark and State of the Art Analysis. CVPR (2014)
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
Multi-View Priors for Learning Detectors from Sparse Viewpoint Data. ICLR (Poster) (2014)
Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
Efficient Nonlinear Markov Models for Human Motion. CVPR (2014)
Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
A Non-parametric Bayesian Network Prior of Human Pose. ICCV (2013)
Leonid Pishchulin, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
Poselet Conditioned Pictorial Structures. CVPR (2013)
Leonid Pishchulin, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
Strong Appearance and Expressive Spatial Models for Human Pose Estimation. ICCV (2013)
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
Occlusion Patterns for Object Class Detection. CVPR (2013)
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
Teaching 3D geometry to deformable part models. CVPR (2012)
Bojan Pepik, Peter V. Gehler, Michael Stark, Bernt Schiele
3D2PM - 3D Deformable Part Models. ECCV (6) (2012)
Christoph Dann, Peter V. Gehler, Stefan Roth, Sebastian Nowozin
Pottics - The Potts Topic Model for Semantic Image Segmentation. DAGM/OAGM Symposium (2012)
Alain D. Lehmann, Peter V. Gehler, Luc Van Gool
Branch&Rank: Non-Linear Object Detection. BMVC (2011)
Peter V. Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. NIPS (2011)
Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto
Learning Output Kernels with Block Coordinate Descent. ICML (2011)
Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother
Scene Carving: Scene Consistent Image Retargeting. ECCV (1) (2010)
Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother
Visibility Maps for Improving Seam Carving. ECCV Workshops (1) (2010)
Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert
On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. ECCV (6) (2010)
Peter V. Gehler, Sebastian Nowozin
On feature combination for multiclass object classification. ICCV (2009)
Peter V. Gehler, Sebastian Nowozin
Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers. CVPR (2009)
Peter V. Gehler, Carsten Rother, Andrew Blake, Thomas P. Minka, Toby Sharp
Bayesian color constancy revisited. CVPR (2008)
Peter V. Gehler, Olivier Chapelle
Deterministic Annealing for Multiple-Instance Learning. AISTATS (2007)
Peter V. Gehler, Alex Holub, Max Welling
The rate adapting poisson model for information retrieval and object recognition. ICML (2006)
Peter V. Gehler, Max Welling
Products of Edge-perts. NIPS (2005)