Peter V. Gehler

82 papers A* 26A 4Journal 32Unranked 19

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	TeST: Test-time Self-Training under Distribution Shift. WACV Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele
2022	A*	`conf`	Assaying Out-Of-Distribution Generalization in Transfer Learning. NeurIPS 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
2022	J	`jnl`	TeST: Test-time Self-Training under Distribution Shift. CoRR Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele
2022	A*	`conf`	Towards Total Recall in Industrial Anomaly Detection. CVPR Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
2021	J	`jnl`	Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2021	A*	`conf`	Backward-Compatible Prediction Updates: A Probabilistic Approach. NeurIPS Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler
2021	J	`jnl`	Backward-Compatible Prediction Updates: A Probabilistic Approach. CoRR Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler
2021	A*	`conf`	CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. ICCV Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox
2021	J	`jnl`	CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. CoRR Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox
2021	A*	`conf`	Dynamic Inference with Neural Interpreters. NeurIPS Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
2021	J	`jnl`	Dynamic Inference with Neural Interpreters. CoRR Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
2021	J	`jnl`	Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning. CoRR Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter V. Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
2021	J	`jnl`	Towards Total Recall in Industrial Anomaly Detection. CoRR Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
2021	J	`jnl`	Unsupervised Object Learning via Common Fate. CoRR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2021	J	`jnl`	Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. CoRR Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
2021	J	`jnl`	You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. CoRR Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf
2020	J	`jnl`	Providing a Single Ground-Truth for Illuminant Estimation for the ColorChecker Dataset. IEEE Trans. Pattern Anal. Mach. Intell. Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Mark S. Drew, Brian V. Funt, Lilong Shi
2020	J	`jnl`	Towards causal generative scene models via competition of experts. CoRR Julius von Kügelgen, Ivan Ustyuzhaninov, Peter V. Gehler, Matthias Bethge, Bernhard Schölkopf
2019	—	`conf`	Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. GCPR Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
2019	J	`jnl`	Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. CoRR Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
2019	A*	`conf`	Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. ICCV Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch
2018	—	`conf`	Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. ECCV (9) Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
2018	J	`jnl`	Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. CoRR Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
2018	J	`jnl`	Efficient 2D and 3D Facade Segmentation Using Auto-Context. IEEE Trans. Pattern Anal. Mach. Intell. Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
2018	—	`conf`	Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation. 3DV Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele
2018	J	`jnl`	Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation. CoRR Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele
2018	J	`jnl`	Rehabilitating the Color Checker Dataset for Illuminant Estimation. CoRR Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Mark S. Drew
2018	—	`conf`	Rehabilitating the ColorChecker Dataset for Illuminant Estimation. CIC Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Brian V. Funt, Mark S. Drew, Lilong Shi
2017	—	`conf`	A Curious Problem with Using the Colour Checker Dataset for Illuminant Estimation. CIC Graham D. Finlayson, Ghalia Hemrit, Arjan Gijsenij, Peter V. Gehler
2017	A*	`conf`	A Generative Model of People in Clothing. ICCV Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
2017	J	`jnl`	A Generative Model of People in Clothing. CoRR Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
2017	—	`conf`	Learning to Filter Object Detections. GCPR Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler
2017	A*	`conf`	Reflectance Adaptive Filtering Improves Intrinsic Image Estimation. CVPR Thomas Nestmeyer, Peter V. Gehler
2017	A*	`conf`	Semantic Video CNNs Through Representation Warping. ICCV Raghudeep Gadde, Varun Jampani, Peter V. Gehler
2017	J	`jnl`	Semantic Video CNNs through Representation Warping. CoRR Raghudeep Gadde, Varun Jampani, Peter V. Gehler
2017	A*	`conf`	Unite the People: Closing the Loop Between 3D and 2D Human Representations. CVPR Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler
2017	J	`jnl`	Unite the People: Closing the Loop Between 3D and 2D Human Representations. CoRR Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler
2017	A*	`conf`	Video Propagation Networks. CVPR Varun Jampani, Raghudeep Gadde, Peter V. Gehler
2016	A*	`conf`	Barrista: Caffe Well-Served. ACM Multimedia Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler
2016	A*	`conf`	DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation. CVPR Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
2016	J	`jnl`	Efficient 2D and 3D Facade Segmentation using Auto-Context. CoRR Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
2016	—	`conf`	Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. ECCV (5) Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black
2016	J	`jnl`	Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. CoRR Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black
2016	A*	`conf`	Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. CVPR Varun Jampani, Martin Kiefel, Peter V. Gehler
2016	J	`jnl`	Reflectance Adaptive Filtering Improves Intrinsic Image Estimation. CoRR Thomas Nestmeyer, Peter V. Gehler
2016	—	`conf`	Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler
2016	J	`jnl`	Video Propagation Networks. CoRR Varun Jampani, Raghudeep Gadde, Peter V. Gehler
2015	J	`jnl`	3D Object Class Detection in the Wild. CoRR Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele
2015	—	`conf`	3D object class detection in the wild. CVPR Workshops Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele
2015	J	`jnl`	DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation. CoRR Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
2015	A	`conf`	Efficient Facade Segmentation Using Auto-context. WACV Varun Jampani, Raghudeep Gadde, Peter V. Gehler
2015	J	`jnl`	Multi-View and 3D Deformable Part Models. IEEE Trans. Pattern Anal. Mach. Intell. Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
2015	—	`ed.`	Pattern Recognition - 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings GCPR Juergen Gall, Peter V. Gehler, Bastian Leibe
2015	—	`conf`	Permutohedral Lattice CNNs. ICLR (Workshop) Martin Kiefel, Varun Jampani, Peter V. Gehler
2015	J	`jnl`	Sparse Convolutional Networks using the Permutohedral Lattice. CoRR Martin Kiefel, Varun Jampani, Peter V. Gehler
2015	J	`jnl`	Superpixel Convolutional Networks using Bilateral Inceptions. CoRR Raghudeep Gadde, Varun Jampani, Martin Kiefel, Peter V. Gehler
2015	J	`jnl`	The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. Comput. Vis. Image Underst. Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler
2014	A*	`conf`	2D Human Pose Estimation: New Benchmark and State of the Art Analysis. CVPR Mykhaylo Andriluka, Leonid Pishchulin, Peter V. Gehler, Bernt Schiele
2014	J	`jnl`	Branch&Rank for Efficient Object Detection. Int. J. Comput. Vis. Alain D. Lehmann, Peter V. Gehler, Luc Van Gool
2014	A*	`conf`	Efficient Nonlinear Markov Models for Human Motion. CVPR Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
2014	—	`conf`	Intrinsic Video. ECCV (2) Naejin Kong, Peter V. Gehler, Michael J. Black
2014	—	`conf`	Multi-View Priors for Learning Detectors from Sparse Viewpoint Data. ICLR (Poster) Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
2014	J	`jnl`	The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models. CoRR Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler
2013	A*	`conf`	A Non-parametric Bayesian Network Prior of Human Pose. ICCV Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
2013	A*	`conf`	Occlusion Patterns for Object Class Detection. CVPR Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
2013	A*	`conf`	Poselet Conditioned Pictorial Structures. CVPR Leonid Pishchulin, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
2013	A*	`conf`	Strong Appearance and Expressive Spatial Models for Human Pose Estimation. ICCV Leonid Pishchulin, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele
2012	—	`conf`	3D2PM - 3D Deformable Part Models. ECCV (6) Bojan Pepik, Peter V. Gehler, Michael Stark, Bernt Schiele
2012	—	`conf`	Pottics - The Potts Topic Model for Semantic Image Segmentation. DAGM/OAGM Symposium Christoph Dann, Peter V. Gehler, Stefan Roth, Sebastian Nowozin
2012	A*	`conf`	Teaching 3D geometry to deformable part models. CVPR Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele
2011	A	`conf`	Branch&Rank: Non-Linear Object Detection. BMVC Alain D. Lehmann, Peter V. Gehler, Luc Van Gool
2011	A*	`conf`	Learning Output Kernels with Block Coordinate Descent. ICML Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto
2011	—	`conf`	Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. NIPS Peter V. Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf
2010	—	`conf`	On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. ECCV (6) Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert
2010	—	`conf`	Scene Carving: Scene Consistent Image Retargeting. ECCV (1) Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother
2010	—	`conf`	Visibility Maps for Improving Seam Carving. ECCV Workshops (1) Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother
2009	A*	`conf`	Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers. CVPR Peter V. Gehler, Sebastian Nowozin
2009	A*	`conf`	On feature combination for multiclass object classification. ICCV Peter V. Gehler, Sebastian Nowozin
2008	A*	`conf`	Bayesian color constancy revisited. CVPR Peter V. Gehler, Carsten Rother, Andrew Blake, Thomas P. Minka, Toby Sharp
2007	A	`conf`	Deterministic Annealing for Multiple-Instance Learning. AISTATS Peter V. Gehler, Olivier Chapelle
2006	A*	`conf`	The rate adapting poisson model for information retrieval and object recognition. ICML Peter V. Gehler, Alex Holub, Max Welling
2005	—	`conf`	Products of Edge-perts. NIPS Peter V. Gehler, Max Welling