Peter Gehler

12.4k citations

44 papers · 5.7k indexed · 5 hit papers · h-index 26

Impact in

Computer Vision and Pattern Recognition top 0.1%
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems

Papers in ⓘ

Computer Vision and Pattern Recognition 36
- Advanced Image and Video Retrieval Techniques 15
- Advanced Neural Network Applications 9
- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 8
- Advanced Vision and Imaging 7
- Image Enhancement Techniques 7
- Image Retrieval and Classification Techniques 6
Media Technology 5

Co-authors: Bernt Schiele (9 shared papers)Leonid Pishchulin (4 shared papers)Mykhaylo Andriluka (4 shared papers)Sebastian Nowozin (9 shared papers)Bernhard Schölkopf (5 shared papers)Thomas Brox (2 shared papers)Martin Kiefel (7 shared papers)Latha Pemula (1 shared paper)
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Journal of Computer Vision (1 paper)Computer Vision and Image Understanding (1 paper)Lecture notes in computer science (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
Partner nations: Germany United States United Kingdom

In The Last Decade

Peter Gehler

43 papers receiving 5.5k citations

Hit Papers

5 papers align trajectories log scale

Towards Total Recall in Industrial Anomaly Detection 2022 · 622 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2017 Unite the People: Closing the Loop Between 3D and 2D Human Representations
2016 DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
2014 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
2009 On feature combination for multiclass object classification

Peers

Countries citing papers authored by Peter Gehler

Since Specialization

Citations

This map shows the geographic impact of Peter Gehler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Gehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gehler more than expected).

Fields of papers citing papers by Peter Gehler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Gehler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Gehler. The network helps show where Peter Gehler may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Gehler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Gehler Line = papers co-authored together Peter Gehler links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	2D Human Pose Estimation: New Benchmark and State of the Art Analysis Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, Bernt Schiele Hit paper breakdown →	2014	1536
2	Towards Total Recall in Industrial Anomaly Detection 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter Gehler Hit paper breakdown →	2022	622
3	DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele Hit paper breakdown →	2016	622
4	On feature combination for multiclass object classification Peter Gehler, Sebastian Nowozin Hit paper breakdown →	2009	577
5	Unite the People: Closing the Loop Between 3D and 2D Human Representations Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter Gehler Hit paper breakdown →	2017	293
6	Bayesian color constancy revisited Peter Gehler, Carsten Rother, Andrew Blake, Tom Minka, Toby Sharp	2008	257
7	Poselet Conditioned Pictorial Structures Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele	2013	217
8	Teaching 3D geometry to deformable part models Bojan Pepik, Michael Stark, Peter Gehler, Bernt Schiele	2012	129
9	Strong Appearance and Expressive Spatial Models for Human Pose Estimation Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler, Bernt Schiele	2013	128
10	Towards Accurate Marker-Less Human Shape and Pose Estimation over Time ANU Open Research (Australian National University) ·Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter Gehler, Javier Romero, Ijaz Akhter, Michael J. Black	2017	125
11	Video Propagation Networks Varun Jampani, Raghudeep Gadde, Peter Gehler	2017	122
12	Efficient Nonlinear Markov Models for Human Motion Andreas Lehrmann, Peter Gehler, Sebastian Nowozin	2014	107
13	Occlusion Patterns for Object Class Detection Bojan Pepikj, Michael Stark, Peter Gehler, Bernt Schiele	2013	98
14	Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks Varun Jampani, Martin Kiefel, Peter Gehler	2016	98
15	CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler, Thomas Brox	2021	93
16	Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance Max Planck Institute for Plasma Physics ·Peter Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf	2011	83
17	Deterministic Annealing for Multiple-Instance Learning MPG.PuRe (Max Planck Society) ·Peter Gehler, Olivier Chapelle	2007	61
18	The rate adapting poisson model for information retrieval and object recognition Peter Gehler, Alex Holub, Max Welling	2006	61
19	Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter Gehler, Michael Hirsch	2019	60
20	Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance Neural Information Processing Systems ·Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf, Peter Gehler	2011	57

About Peter Gehler

Peter Gehler is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 44 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (7 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.6k citations), Human-Computer Interaction (727 citations), Artificial Intelligence (1.5k citations), Computer Graphics and Computer-Aided Design (158 citations) and Media Technology (350 citations). Peter Gehler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernt Schiele, Leonid Pishchulin, Mykhaylo Andriluka, Sebastian Nowozin, Bernhard Schölkopf, Thomas Brox, Martin Kiefel, Latha Pemula, Joaquin Zepeda and Karsten Roth. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Computer Vision and Image Understanding, Lecture notes in computer science and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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