Bodo Rosenhahn
Impact in
-
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Vision and Imaging 54
- Human Pose and Action Recognition 47
- Video Surveillance and Tracking Methods 38
- Advanced Image and Video Retrieval Techniques 24
- Advanced Neural Network Applications 15
- Co-authors
- Hans‐Peter SeidelGerard Pons‐MollLaura Leal-TaixéMichael Ying YangJüergen GallNils HaslerThomas BroxCarsten Stoll
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)International Journal of Computer Vision (4 papers)Journal of Mathematical Imaging and Vision (3 papers)Machine Vision and Applications (3 papers)Measurement (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Bodo Rosenhahn
194 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 3.3k
- Human-Computer Interaction 349
- Computer Graphics and Computer-Aided Design 205
- Computational Mechanics 677
- Artificial Intelligence 896
Countries citing papers authored by Bodo Rosenhahn
This map shows the geographic impact of Bodo Rosenhahn'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 Bodo Rosenhahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bodo Rosenhahn more than expected).
Fields of papers citing papers by Bodo Rosenhahn
This network shows the impact of papers produced by Bodo Rosenhahn. 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 Bodo Rosenhahn. The network helps show where Bodo Rosenhahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Bodo Rosenhahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 9 | |
| 7 | Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. | 2020 | 2 |
| 8 | 2019 | 9 | |
| 9 | Exploring the Semantics for Visual Relationship Detection. | 2019 | 3 |
| 10 | 2018 | 93 | |
| 11 | Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. | 2017 | 13 |
| 12 | A Novel Multi-Detector Fusion Framework for Multi-Object Tracking | 2017 | 9 |
| 13 | 2014 | 167 | |
| 14 | 2009 | 1 | |
| 15 | PDE-based Anisotropic Disparity-driven Stereo Vision | 2008 | 10 |
| 16 | Human motion - understanding, modeling, capture and animation : Second Workshop, Human Motion 2007 Rio de Janeiro, Brazil, October 20, 2007 : proceedings | 2007 | 0 |
| 17 | Robust Pose Estimation with 3D Textured Models | 2006 | 8 |
| 18 | High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints | 2006 | 22 |
| 19 | Physically Based Tracking of Cloth | 2006 | 7 |
| 20 | Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation. | 2005 | 1 |
About Bodo Rosenhahn
Bodo Rosenhahn is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 205 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (54 papers), Human Pose and Action Recognition (47 papers), Video Surveillance and Tracking Methods (38 papers), Advanced Image and Video Retrieval Techniques (24 papers), Human Motion and Animation (20 papers), Anomaly Detection Techniques and Applications (19 papers), Advanced Neural Network Applications (15 papers) and Robotics and Sensor-Based Localization (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Human-Computer Interaction (349 citations), Computer Graphics and Computer-Aided Design (205 citations), Computational Mechanics (677 citations) and Artificial Intelligence (896 citations). Bodo Rosenhahn has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Hans‐Peter Seidel, Gerard Pons‐Moll, Laura Leal-Taixé, Michael Ying Yang, Jüergen Gall, Nils Hasler, Thomas Brox, Carsten Stoll, Wentong Liao and Timo von Marcard. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Journal of Mathematical Imaging and Vision, Machine Vision and Applications and Measurement.
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.