Thomas Brox
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
Papers in
-
- Advanced Vision and Imaging 42
- Advanced Image and Video Retrieval Techniques 25
- Advanced Neural Network Applications 22
- Human Pose and Action Recognition 19
- Medical Image Segmentation Techniques 19
- Video Surveillance and Tracking Methods 14
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- Domain Adaptation and Few-Shot Learning 14
- Co-authors
- Alexey Dosovitskiy (16 shared papers)Eddy Ilg (9 shared papers)Jitendra Malik (5 shared papers)Daniel Cremers (17 shared papers)Margret Keuper (7 shared papers)Philipp Fischer (3 shared papers)Peter Ochs (12 shared papers)N. Michael Mayer (4 shared papers)
- Journals
- International Journal of Computer Vision (14 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)Urban Climate (2 papers)Nature Communications (2 papers)IEEE Transactions on Image Processing (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Thomas Brox
148 papers receiving 13.4k citations
Thomas Brox's Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 10.7k
- Computer Graphics and Computer-Aided Design 658
- Media Technology 1.5k
- Geology 478
- Artificial Intelligence 2.4k
Countries citing papers authored by Thomas Brox
This map shows the geographic impact of Thomas Brox'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 Thomas Brox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Brox more than expected).
Fields of papers citing papers by Thomas Brox
This network shows the impact of papers produced by Thomas Brox. 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 Thomas Brox. The network helps show where Thomas Brox may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Brox, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FlowNet: Learning Optical Flow with Convolutional Networks Hit paper breakdown → | 2015 | 2493 |
| 2 | FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Hit paper breakdown → | 2017 | 1940 |
| 3 | Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation Hit paper breakdown → | 2010 | 848 |
| 4 | Towards Total Recall in Industrial Anomaly Detection Hit paper breakdown → | 2022 | 622 |
| 5 | Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Hit paper breakdown → | 2015 | 439 |
| 6 | Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs Hit paper breakdown → | 2017 | 417 |
| 7 | Segmentation of Moving Objects by Long Term Video Analysis Hit paper breakdown → | 2014 | 362 |
| 8 | Learning to generate chairs with convolutional neural networks Hit paper breakdown → | 2015 | 333 |
| 9 | Discriminative Unsupervised Feature Learning with Convolutional Neural Networks Hit paper breakdown → | 2014 | 289 |
| 10 | 2006 | 269 | |
| 11 | What Do Single-View 3D Reconstruction Networks Learn? Hit paper breakdown → | 2019 | 256 |
| 12 | iPiano: Inertial Proximal Algorithm for Nonconvex Optimization Hit paper breakdown → | 2014 | 249 |
| 13 | 2008 | 184 | |
| 14 | 2009 | 180 | |
| 15 | 2016 | 180 | |
| 16 | 2005 | 165 | |
| 17 | 2003 | 160 | |
| 18 | 2004 | 158 | |
| 19 | 2008 | 157 | |
| 20 | 2017 | 152 |
About Thomas Brox
Thomas Brox is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics and Media Technology, having authored 155 papers that have together received 13.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (42 papers), Advanced Image and Video Retrieval Techniques (25 papers), Advanced Neural Network Applications (22 papers), Human Pose and Action Recognition (19 papers), Medical Image Segmentation Techniques (19 papers), Robotics and Sensor-Based Localization (18 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Video Surveillance and Tracking Methods (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.7k citations), Computer Graphics and Computer-Aided Design (658 citations), Media Technology (1.5k citations), Geology (478 citations) and Artificial Intelligence (2.4k citations). Thomas Brox has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Alexey Dosovitskiy, Eddy Ilg, Jitendra Malik, Daniel Cremers, Margret Keuper, Philipp Fischer, Peter Ochs, N. Michael Mayer, Tonmoy Saikia and Jost Tobias Springenberg. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Urban Climate, Nature Communications and IEEE Transactions on Image Processing.
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.