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Peter Gehler bio photo

Peter Gehler

Is trying to learn how to learn to see.

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Welcome!

I am a researcher at AWS in Tübingen. Before, I was W3 professor at the University of Würzburg, group leader at the Bernstein Center of Computational Neuroscience at the University of Tübingen and affiliated with the Max Planck Institute for Intelligent Systems in Tübingen as a senior research scientist.

I want to enable computers to understand the physical world around us. I am mostly interested in models that infer semantic and physical properties of visual data.


We have several openings for internship on a number of topics, year round. Please drop me an email if you are interested.


Postdocs

Students


Publications

Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice

Anne Wannenwetsch , Martin Kiefel , Peter Gehler , and Stefan Roth

German Conference on Pattern Recognition (GCPR), 2019

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Learning an event sequence embedding for dense event-based deep stereo

Stepan Tulyakov , Francois Fleuret , Martin Kiefel , Peter Gehler , and Michael Hirsch

International Conference on Computer Vision (ICCV), 2019

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Providing a single Ground-truth for Illuminant Estimation for the ColorChecker Dataset

Ghalia Hemrit , Graham Finlayson , Arjan Gijsenij , Peter Gehler , Simone Bianco , Mark Drew , Brian Funt , and Lilong Shi

Pattern Analysis and Machine Intelligence (PAMI), 2019

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Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

Sergey Prokudin , Peter Gehler , and Sebastian Nowozin

European Conference on Computer Vision (ECCV), 2018

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Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation

Mohamed Omran , Christoph Lassner , Gerard Pons-Moll , Peter Gehler , and Bernt Schiele

International Conference on 3DVision (3DV), 2018

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A Generative Model of People in Clothing

Christoph Lassner , Gerard Pons-Moll , and Peter Gehler

International Conference on Computer Vision (ICCV), 2017

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Semantic Video CNNs through Representation Warping

Raghudeep Gadde , Varun Jampani , and Peter Gehler

International Conference on Computer Vision (ICCV), 2017

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Towards Accurate Marker-less Human Shape and Pose Estimation over Time

Yinghao Huang , Federica Bogo , Christoph Lassner , Angjoo Kanazawa , Peter Gehler , Javier Romero , Ijaz Akther , and Michael Black

International Conference on 3D Vision (3DV), 2017

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Learning To Filter Object Detections

Sergey Prokudin , Daniel Kappler , Sebastian Nowozin , and Peter Gehler

German Conference on Patter Recognition (GCPR), 2017

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A Curious Problem with Using the Colour Checker Dataset for Illuminant Estimation

Ghalia Hemrit , Graham Finlayson , Peter Gehler , and Arjan Gijsenij

Color and Imaging Conference (CIC), 2017

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Reflectance Adaptive Filtering Improves Intrinsic Image Estimation

Thomas Nestmeyer and Peter Gehler

Computer Vision and Pattern Recognition (CVPR), 2017

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Video Propagation Networks

Varun Jampani , Raghudeep Gadde , and Peter Gehler

Computer Vision and Pattern Recognition (CVPR), 2017

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Unite the People: Closing the Loop Between 3D and 2D Human Representations

Christoph Lassner , Javier Romero , Martin Kiefel , Federica Bogo , Michael Black , and Peter Gehler

Computer Vision and Pattern Recognition (CVPR), 2017

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Efficient 2D and 3D Facade Segmentation using Auto-Context

Raghudeep Gadde , Varun Jampani , Renaud Marlet , and Peter Gehler

Pattern Analysis and Machine Intelligence (PAMI), 2017

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barrista -- caffe well served

Christoph Lassner , Martin Kiefel , Daniel Kappler , and Peter Gehler

Multimedia 2016 Open Source Software Competition (ACMMM), 2016

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Superpixel Convolutional Networks using Bilateral Inceptions

Raghudeep Gadde , Varun Jampani , Martin Kiefel , Daniel Kappler , and Peter Gehler

Proceedings of the European Conference on Computer Vision (ECCV), 2016

pdf bib supplementary arxiv project page

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

Federica Bogo , Angjoo Kanazawa , Christoph Lassner , Peter Gehler , Javier Romero , and Michael Black

Proceedings of the European Conference on Computer Vision (ECCV), 2016

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DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Leonid Pishchulin , Eldar Insafutdinov , Siyu Tang , Björn Andres , Mykhaylo Andriluka , Peter Gehler , and Bernt Schiele

Computer Vision and Pattern Recognition (CVPR), 2016

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Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks

Varun Jampani , Martin Kiefel , and Peter Gehler

Computer Vision and Pattern Recognition (CVPR), 2016

pdf bib supplementary arxiv code scholar

Proceedings of the 37th German Conference on Pattern Recognition

Jürgen Gall , Peter Gehler , and Bastian Leibe

GCPR Proceedings, 2015

bib project page

3D Object Class Detection in the Wild

Bojan Pepik , Michael Stark , Peter Gehler , Tobias Ritschel , and Bernt Schiele

CVPR workshop on 3D from a Single Image (CVPR-W), 2015

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Permutohedral Lattice CNNs

Martin Kiefel , Varun Jampani , and Peter Gehler

International Confernence on Learning Representations Workshops, 2015

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The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

Varun Jampani , Sebastian Nowozin , Matt Loper , and Peter Gehler

Computer Vision and Image Understanding (CVIU), 2015

bib arxiv scholar

Multi-view and 3D Deformable Part Models

Bojan Pepik , Michael Stark , Peter Gehler , and Bernt Schiele

Pattern Analysis and Machine Intelligence (PAMI), 2015

bib scholar

Efficient Facade Segmentation using Auto-Context

Varun Jampani , Raghudeep Gadde , and Peter Gehler

Winter Conference on Applications of Computer Vision (WACV), 2015

pdf bib supplementary project page scholar

Advanced Structured Prediction

Sebastian Nowozin , Peter Gehler , Jeremy Jancsary , and Christoph Lampert

MIT press, 2014

bib project page scholar

Intrinsic Video

Naejin Kong , Peter Gehler , and Michael Black

Proceedings of the European Conference on Computer Vision (ECCV), 2014

pdf bib supplementary project page video scholar

Human Pose Estimation with Fields of Parts

Martin Kiefel and Peter Gehler

Proceedings of the European Conference on Computer Vision (ECCV), 2014

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Efficient Non-linear Markov Models for Human Motion

Andreas Lehrmann , Peter Gehler , and Sebastian Nowozin

Computer Vision and Pattern Recognition (CVPR), 2014

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Human Pose Estimation: New Benchmark and State of the Art Analysis

Mykhaylo Andriluka , Leonid Pishchulin , Peter Gehler , and Bernt Schiele

Computer Vision and Pattern Recognition (CVPR), 2014

pdf bib project page scholar

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data

Bojan Pepik , Michael Stark , Peter Gehler , and Bernt Schiele

International Conference on Learning Representations (ICLR), 2014

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Strong Appearance and Expressive Spatial Models for Human Pose Estimation

Leonid Pishchulin , Mykhaylo Andriluka , Peter Gehler , and Bernt Schiele

International Conference on Computer Vision (ICCV), 2013

pdf bib project page code scholar

A Non-parametric Bayesian Network Prior of Human Pose

Andreas Lehrmann , Peter Gehler , and Sebastian Nowozin

International Conference on Computer Vision (ICCV), 2013

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Branch&Rank for Efficient Object Detection

Alain Lehmann , Peter Gehler , and Luc Van Gool

International Journal of Computer Vision (IJCV), 2013

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Poselet conditioned pictorial structures

Leonid Pishchulin , Mykhaylo Andriluka , Peter Gehler , and Bernt Schiele

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

pdf bib project page code scholar

Occlusion Patterns for Object Class Detection

Bojan Pepik , Michael Stark , Peter Gehler , and Bernt Schiele

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

pdf bib scholar

3D2PM - 3D Deformable Part Models

Bojan Pepik , Peter Gehler , Michael Stark , and Bernt Schiele

Proceedings of the European Conference on Computer Vision (ECCV), 2012

pdf bib poster video scholar

Pottics - The Potts Topic Model for Semantic Image Segmentation

Christoph Dann , Peter Gehler , Stefan Roth , and Sebastian Nowozin

Proceedings of 34th DAGM Symposium (DAGM), 2012

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Teaching 3D Geometry to Deformable Part Models

Bojan Pepik , Michael Stark , Peter Gehler , and Bernt Schiele

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

pdf bib scholar

Learning Search Based Inference for Object Detection

Peter Gehler and Alain Lehmann

ICML workshop on Inferning, 2012

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Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance

Peter Gehler , Carsten Rother , Martin Kiefel , Lumin Zhang , and Bernhard Schölkopf

Advances in Neural Information Processing Systems (NIPS), 2011

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Branch&Rank - Non-Linear Object Detection

Alain Lehmann , Peter Gehler , and Luc Van Gool

Proceedings of the British Machine Vision Conference (BMVC), 2011

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Learning Output Kernels with Block Coordinate Descent

Francesco Dinuzzo , Cheng Soon Ong , Peter Gehler , and Gianluigi Pillonetto

International Conference on Machine Learning (ICML), 2011

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Scene Carving - Scene Consistent Image Retargeting

Alex Mansfield , Peter Gehler , Luc Van Gool , and Carsten Rother

European Conference on Computer Vision (ECCV), 2010

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Visibility Maps for Improving Seam Carving

Alex Mansfield , Peter Gehler , Luc Van Gool , and Carsten Rother

Media Retargeting Workshop (ECCV), 2010

pdf bib supplementary poster slides project page code scholar

On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation

Sebastian Nowozin , Peter Gehler , and Christoph Lampert

European Conference on Computer Vision (ECCV), 2010

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An introduction to Kernel Learning Algorithms

Peter Gehler and Bernhard Schölkopf

In Kernel Methods for Remote Sensing Data Analysis, 2009

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Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers

Peter Gehler and Sebastian Nowozin

Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2009

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On feature combination for multiclass object classification

Peter Gehler and Sebastian Nowozin

International Conference on Computer Vision (ICCV), 2009

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Infinite Kernel Learning

Peter Gehler and Sebastian Nowozin

Kernel Learning - Automatic Selection of Optimal Kernels (NIPS workshop on Kernel Learning), 2008

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Infinite Kernel Learning

Peter Gehler and Sebastian Nowozin

Technical Report 178, Max Planck Institute, 2008

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Bayesian Color Constancy Revisited

Peter Gehler , Carsten Rother , Andrew Blake , Tom Minka , and Toby Sharp

IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008

pdf bib project page scholar

Deterministic Annealing for Multiple-Instance Learning

Peter Gehler and Olivier Chapelle

Artificial Intelligence and Statistics (AIStats), 2007

pdf bib scholar

Implicit Wiener Series, Part II Regularised estimation

Peter Gehler and Matthias O. Franz

Technical Report 148, Max Planck Institute, 2006

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The rate adapting poisson model for information retrieval and object recognition

Peter Gehler , Alex Holub , and Max Welling

Proceedings of the 23rd international conference on Machine learning (ICML), 2006

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Products of ``Edge-perts''

Peter Gehler and Max Welling

Advances in Neural Information Processing Systems 18 (NIPS), 2006

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How to choose the covariance for Gaussian process regression independently of the basis

Matthias O. Franz and Peter Gehler

Proceedings of the Workshop Gaussian Processes in Practice, 2006

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University Courses


Tutorials and Practicals


Chair Positions and Memberships

Member of ELLIS.


Conference and Workshop Organization


Mountainbiking