P. Gehler

发表

An introduction to graphical models

P. Gehler, Peter Gehler, 2001 .

Teaching 3D geometry to deformable part models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

On feature combination for multiclass object classification

Sebastian Nowozin, Peter V. Gehler, S. Nowozin, 2009, 2009 IEEE 12th International Conference on Computer Vision.

The rate adapting poisson model for information retrieval and object recognition

Peter V. Gehler, Max Welling, Alex Holub, 2006, ICML.

Bayesian color constancy revisited

Andrew Blake, Peter V. Gehler, Toby Sharp, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

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

Peter V. Gehler, Michael J. Black, Javier Romero, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Poselet Conditioned Pictorial Structures

Peter V. Gehler, Bernt Schiele, Mykhaylo Andriluka, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

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

Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert, 2010, ECCV.

The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models

Sebastian Nowozin, Peter V. Gehler, Varun Jampani, 2014, Comput. Vis. Image Underst..

Occlusion Patterns for Object Class Detection

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Strong Appearance and Expressive Spatial Models for Human Pose Estimation

Peter V. Gehler, Bernt Schiele, Mykhaylo Andriluka, 2013, 2013 IEEE International Conference on Computer Vision.

Learning Output Kernels with Block Coordinate Descent

Peter V. Gehler, Cheng Soon Ong, Gianluigi Pillonetto, 2011, ICML.

Efficient Nonlinear Markov Models for Human Motion

Sebastian Nowozin, Peter V. Gehler, Andreas M. Lehrmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

2D Human Pose Estimation: New Benchmark and State of the Art Analysis

Bernt Schiele, Mykhaylo Andriluka, Leonid Pishchulin, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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

Peter V. Gehler, Michael J. Black, Javier Romero, 2016, ECCV.

Implicit Wiener Series, Part II: Regularised estimation

P. Gehler, M. Franz, Peter Gehler, 2006 .

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

P. Gehler, M. Franz, 2006 .

1 The Power of LP Relaxation for MAP Inference

Christoph H. Lampert, S. Nowozin, P. Gehler, 2013 .

Smoothed Coordinate Descent for MAP Inference

Christoph H. Lampert, S. Nowozin, P. Gehler, 2014 .

TR-178 Infinite Kernel Learning

S. Nowozin, P. Gehler, Peter Gehler, 2008 .

Backward-Compatible Prediction Updates: A Probabilistic Approach pdf

Peter V. Gehler, Bernhard Schölkopf, Matthäus Kleindessner, 2021, NeurIPS.

An introduction to kernel learning algorithms

Peter V. Gehler, Bernhard Schölkopf, B. Schölkopf, 2009 .

T HE R OLE OF P RETRAINED R EPRESENTATIONS FOR THE OOD G ENERALIZATION OF RL A GENTS

B. Schölkopf, O. Winther, P. Gehler, 2022 .

Towards Total Recall in Industrial Anomaly Detection

B. Schölkopf, T. Brox, P. Gehler, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, T. Brox, F. Wenzel, 2022, ArXiv.