Stefan Roth
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Media Technology top 0.05%
Papers in
-
- Advanced Vision and Imaging 27
- Advanced Image Processing Techniques 22
- Video Surveillance and Tracking Methods 20
- Advanced Image and Video Retrieval Techniques 19
- Advanced Neural Network Applications 15
- Image and Signal Denoising Methods 13
- Human Pose and Action Recognition 9
- Co-authors
- Bernt Schiele (19 shared papers)Markus Enzweiler (5 shared papers)Uwe Franke (5 shared papers)Marius Cordts (5 shared papers)Timo Rehfeld (4 shared papers)Sebastian Ramos (2 shared papers)Mohamed Omran (2 shared papers)Rodrigo Benenson (2 shared papers)
- Journals
- International Journal of Computer Vision (7 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (7 papers)The Journal of Urology (2 papers)Image and Vision Computing (2 papers)Computers & Graphics (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Stefan Roth
105 papers receiving 17.0k citations
Stefan Roth's Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 14.5k
- Media Technology 2.4k
- Computer Graphics and Computer-Aided Design 444
- Artificial Intelligence 3.8k
- Automotive Engineering 989
Countries citing papers authored by Stefan Roth
This map shows the geographic impact of Stefan Roth'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 Stefan Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Roth more than expected).
Fields of papers citing papers by Stefan Roth
This network shows the impact of papers produced by Stefan Roth. 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 Stefan Roth. The network helps show where Stefan Roth may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Roth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Cityscapes Dataset for Semantic Urban Scene Understanding Hit paper breakdown → | 2016 | 7106 |
| 2 | A Database and Evaluation Methodology for Optical Flow Hit paper breakdown → | 2010 | 1345 |
| 3 | Secrets of optical flow estimation and their principles Hit paper breakdown → | 2010 | 985 |
| 4 | Fields of Experts: A Framework for Learning Image Priors Hit paper breakdown → | 2005 | 696 |
| 5 | People-tracking-by-detection and people-detection-by-tracking Hit paper breakdown → | 2008 | 569 |
| 6 | Fields of Experts Hit paper breakdown → | 2009 | 554 |
| 7 | Pictorial structures revisited: People detection and articulated pose estimation Hit paper breakdown → | 2009 | 521 |
| 8 | A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them Hit paper breakdown → | 2013 | 423 |
| 9 | Continuous Energy Minimization for Multitarget Tracking Hit paper breakdown → | 2013 | 400 |
| 10 | A Database and Evaluation Methodology for Optical Flow Hit paper breakdown → | 2007 | 396 |
| 11 | Shrinkage Fields for Effective Image Restoration Hit paper breakdown → | 2014 | 357 |
| 12 | Monocular 3D pose estimation and tracking by detection Hit paper breakdown → | 2010 | 322 |
| 13 | UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss Hit paper breakdown → | 2018 | 317 |
| 14 | 2004 | 260 | |
| 15 | 2012 | 225 | |
| 16 | 2013 | 143 | |
| 17 | 2015 | 141 | |
| 18 | 2015 | 127 | |
| 19 | 2009 | 124 | |
| 20 | 2007 | 114 |
About Stefan Roth
Stefan Roth is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Aerospace Engineering, having authored 107 papers that have together received 17.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Advanced Image Processing Techniques (22 papers), Video Surveillance and Tracking Methods (20 papers), Advanced Image and Video Retrieval Techniques (19 papers), Advanced Neural Network Applications (15 papers), Image and Signal Denoising Methods (13 papers), Human Pose and Action Recognition (9 papers) and Image Processing Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (14.5k citations), Media Technology (2.4k citations), Computer Graphics and Computer-Aided Design (444 citations), Artificial Intelligence (3.8k citations) and Automotive Engineering (989 citations). Stefan Roth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bernt Schiele, Markus Enzweiler, Uwe Franke, Marius Cordts, Timo Rehfeld, Sebastian Ramos, Mohamed Omran, Rodrigo Benenson, Michael J. Black and Michael J. Black. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Urology, Image and Vision Computing and Computers & Graphics.
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.