Jonathan Tompson
Impact in
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- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 9
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 1
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- Reinforcement Learning in Robotics 6
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Yann LeCun (4 shared papers)Christoph Bregler (3 shared papers)Arjun Jain (2 shared papers)Ross Goroshin (2 shared papers)Kevin P. Murphy (2 shared papers)Tyler Zhu (2 shared papers)George Papandreou (2 shared papers)Murphy Stein (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)IEEE Robotics and Automation Letters (1 paper)Lecture notes in computer science (2 papers)IEEE International Conference on Microelectronic Test Structures (ICMTS) (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jonathan Tompson
24 papers receiving 4.1k citations
Jonathan Tompson's Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 2.5k
- Human-Computer Interaction 554
- Artificial Intelligence 722
- Control and Systems Engineering 472
- Health Informatics 18
Countries citing papers authored by Jonathan Tompson
This map shows the geographic impact of Jonathan Tompson'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 Jonathan Tompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tompson more than expected).
Fields of papers citing papers by Jonathan Tompson
This network shows the impact of papers produced by Jonathan Tompson. 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 Jonathan Tompson. The network helps show where Jonathan Tompson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Tompson, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient object localization using Convolutional Networks Hit paper breakdown → | 2015 | 1037 |
| 2 | Towards Accurate Multi-person Pose Estimation in the Wild Hit paper breakdown → | 2017 | 664 |
| 3 | Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks Hit paper breakdown → | 2014 | 620 |
| 4 | PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model Hit paper breakdown → | 2018 | 477 |
| 5 | With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Hit paper breakdown → | 2021 | 300 |
| 6 | 2019 | 175 | |
| 7 | 2015 | 117 | |
| 8 | 2015 | 107 | |
| 9 | 2021 | 104 | |
| 10 | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 Hit paper breakdown → | 2024 | 94 |
| 11 | 2020 | 85 | |
| 12 | 2015 | 82 | |
| 13 | Interactive Language: Talking to Robots in Real Time Hit paper breakdown → | 2024 | 75 |
| 14 | 2023 | 50 | |
| 15 | 2024 | 45 | |
| 16 | 2018 | 35 | |
| 17 | 2023 | 28 | |
| 18 | 2024 | 20 | |
| 19 | Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units | 2018 | 15 |
| 20 | 2023 | 7 |
About Jonathan Tompson
Jonathan Tompson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction and Hardware and Architecture, having authored 25 papers that have together received 4.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Reinforcement Learning in Robotics (6 papers), Robot Manipulation and Learning (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers), 3D Shape Modeling and Analysis (1 paper), Advanced Neural Network Applications (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Human-Computer Interaction (554 citations), Artificial Intelligence (722 citations), Control and Systems Engineering (472 citations) and Health Informatics (18 citations). Jonathan Tompson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yann LeCun, Christoph Bregler, Arjun Jain, Ross Goroshin, Kevin P. Murphy, Tyler Zhu, George Papandreou, Murphy Stein, Ken Perlin and Pierre Sermanet. Their work appears in journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters, Lecture notes in computer science, IEEE International Conference on Microelectronic Test Structures (ICMTS) and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.