Peter V. Gehler

Orcid: 0000-0002-5812-4052

Affiliations:
  • University of Tübingen, Bernstein Center for Computational Neuroscience, Germany
  • Max Planck Institute for Intelligent Systems, Tübingen, Germany
  • ETH Zurich, Computer Vision Laboratory, Switzerland


According to our database1, Peter V. Gehler authored at least 67 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
TeST: Test-time Self-Training under Distribution Shift.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unsupervised Object Learning via Common Fate.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022
If your data distribution shifts, use self-learning.
Trans. Mach. Learn. Res., 2022

Assaying Out-Of-Distribution Generalization in Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Role of Pretrained Representations for the OOD Generalization of RL Agents.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain.
Proceedings of the Tenth International Conference on Learning Representations, 2022

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Total Recall in Industrial Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.
CoRR, 2021

Adapting ImageNet-scale models to complex distribution shifts with self-learning.
CoRR, 2021

Backward-Compatible Prediction Updates: A Probabilistic Approach.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Inference with Neural Interpreters.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Providing a Single Ground-Truth for Illuminant Estimation for the ColorChecker Dataset.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Towards causal generative scene models via competition of experts.
CoRR, 2020

2019
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice.
Proceedings of the Pattern Recognition, 2019

2018
Efficient 2D and 3D Facade Segmentation Using Auto-Context.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Rehabilitating the Color Checker Dataset for Illuminant Estimation.
CoRR, 2018

Rehabilitating the ColorChecker Dataset for Illuminant Estimation.
Proceedings of the 26th Color and Imaging Conference, 2018

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
A Curious Problem with Using the Colour Checker Dataset for Illuminant Estimation.
Proceedings of the 25th Color and Imaging Conference, 2017

A Generative Model of People in Clothing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Semantic Video CNNs Through Representation Warping.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning to Filter Object Detections.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Reflectance Adaptive Filtering Improves Intrinsic Image Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unite the People: Closing the Loop Between 3D and 2D Human Representations.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Video Propagation Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Barrista: Caffe Well-Served.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Superpixel Convolutional Networks Using Bilateral Inceptions.
Proceedings of the Computer Vision - ECCV 2016, 2016

Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image.
Proceedings of the Computer Vision - ECCV 2016, 2016

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Multi-View and 3D Deformable Part Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models.
Comput. Vis. Image Underst., 2015

Sparse Convolutional Networks using the Permutohedral Lattice.
CoRR, 2015

Permutohedral Lattice CNNs.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Superpixel Convolutional Networks using Bilateral Inceptions.
CoRR, 2015

Efficient Facade Segmentation Using Auto-context.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

3D object class detection in the wild.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Branch&Rank for Efficient Object Detection.
Int. J. Comput. Vis., 2014

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Intrinsic Video.
Proceedings of the Computer Vision - ECCV 2014, 2014

Human Pose Estimation with Fields of Parts.
Proceedings of the Computer Vision - ECCV 2014, 2014

Efficient Nonlinear Markov Models for Human Motion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2D Human Pose Estimation: New Benchmark and State of the Art Analysis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Strong Appearance and Expressive Spatial Models for Human Pose Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Non-parametric Bayesian Network Prior of Human Pose.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Poselet Conditioned Pictorial Structures.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Occlusion Patterns for Object Class Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
3D2PM - 3D Deformable Part Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

Pottics - The Potts Topic Model for Semantic Image Segmentation.
Proceedings of the Pattern Recognition, 2012

Teaching 3D geometry to deformable part models.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning Output Kernels with Block Coordinate Descent.
Proceedings of the 28th International Conference on Machine Learning, 2011

Branch&Rank: Non-Linear Object Detection.
Proceedings of the British Machine Vision Conference, 2011

2010
On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation.
Proceedings of the Computer Vision - ECCV 2010, 2010

Visibility Maps for Improving Seam Carving.
Proceedings of the Trends and Topics in Computer Vision, 2010

Scene Carving: Scene Consistent Image Retargeting.
Proceedings of the Computer Vision, 2010

2009
Kernel learning approaches for image classification.
PhD thesis, 2009

On feature combination for multiclass object classification.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Bayesian color constancy revisited.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Deterministic Annealing for Multiple-Instance Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006
The rate adapting poisson model for information retrieval and object recognition.
Proceedings of the Machine Learning, 2006

2005
Products of Edge-perts.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005


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