Gehler, Peter V.

33 publications

NeurIPS 2022 Assaying Out-of-Distribution Generalization in Transfer Learning 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

NeurIPS 2021 Backward-Compatible Prediction Updates: A Probabilistic Approach Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler

NeurIPS 2021 Dynamic Inference with Neural Interpreters Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf

ICCV 2017 A Generative Model of People in Clothing Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler

CVPR 2017 Reflectance Adaptive Filtering Improves Intrinsic Image Estimation Thomas Nestmeyer, Peter V. Gehler

ICCV 2017 Semantic Video CNNs Through Representation Warping Raghudeep Gadde, Varun Jampani, Peter V. Gehler

CVPR 2017 Unite the People: Closing the Loop Between 3D and 2D Human Representations Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler

CVPR 2017 Video Propagation Networks Varun Jampani, Raghudeep Gadde, Peter V. Gehler

CVPR 2016 DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele

ECCV 2016 Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black

CVPR 2016 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks Varun Jampani, Martin Kiefel, Peter V. Gehler

ECCV 2016 Superpixel Convolutional Networks Using Bilateral Inceptions Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler

CVPRW 2015 3D Object Class Detection in the Wild Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele

WACV 2015 Efficient Facade Segmentation Using Auto-Context Varun Jampani, Raghudeep Gadde, Peter V. Gehler

ICLR 2015 Permutohedral Lattice CNNs Martin Kiefel, Varun Jampani, Peter V. Gehler

CVPR 2014 Efficient Nonlinear Markov Models for Human Motion Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin

ECCV 2014 Intrinsic Video Naejin Kong, Peter V. Gehler, Michael J. Black

ICLR 2014 Multi-View Priors for Learning Detectors from Sparse Viewpoint Data Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

ICCV 2013 A Non-Parametric Bayesian Network Prior of Human Pose Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin

ECCV 2012 3D2PM - 3D Deformable Part Models Bojan Pepik, Peter V. Gehler, Michael Stark, Bernt Schiele

CVPR 2012 Teaching 3D Geometry to Deformable Part Models Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

ICML 2011 Learning Output Kernels with Block Coordinate Descent Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto

NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf, Peter V. Gehler

ECCV 2010 On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert

ECCV 2010 Scene Carving: Scene Consistent Image Retargeting Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother

ECCV 2010 Visibility Maps for Improving Seam Carving Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother

ECCVW 2010 Visibility Maps for Improving Seam Carving Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother

CVPR 2009 Let the Kernel Figure It Out; Principled Learning of Pre-Processing for Kernel Classifiers Peter V. Gehler, Sebastian Nowozin

ICCV 2009 On Feature Combination for Multiclass Object Classification Peter V. Gehler, Sebastian Nowozin

CVPR 2008 Bayesian Color Constancy Revisited Peter V. Gehler, Carsten Rother, Andrew Blake, Thomas P. Minka, Toby Sharp

AISTATS 2007 Deterministic Annealing for Multiple-Instance Learning Peter V. Gehler, Olivier Chapelle

ICML 2006 The Rate Adapting Poisson Model for Information Retrieval and Object Recognition Peter V. Gehler, Alex Holub, Max Welling

NeurIPS 2005 Products of ``Edge-Perts Max Welling, Peter V. Gehler