Jonathan Tompson
Impact in
- Human-Computer Interaction top 0.2%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Papers in
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- Human Pose and Action Recognition 11
- Multimodal Machine Learning Applications 6
- Video Surveillance and Tracking Methods 4
- Generative Adversarial Networks and Image Synthesis 3
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- Reinforcement Learning in Robotics 9
- Anomaly Detection Techniques and Applications 5
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Yann LeCun (6 shared papers)Christoph Bregler (4 shared papers)Arjun Jain (3 shared papers)Ross Goroshin (3 shared papers)Ken Perlin (2 shared papers)Debidatta Dwibedi (9 shared papers)Pierre Sermanet (9 shared papers)Tyler Zhu (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)ACM Transactions on Graphics (1 paper)Lecture notes in computer science (1 paper)International Conference on Learning Representations (1 paper)MPG.PuRe (Max Planck Society) (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jonathan Tompson
28 papers receiving 3.8k citations
Jonathan Tompson's Hit Papers
Peers
Comparison fields: 5 of 156
- Human-Computer Interaction 884
- Computer Vision and Pattern Recognition 2.8k
- Artificial Intelligence 1.2k
- Control and Systems Engineering 601
- Signal Processing 146
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient object localization using Convolutional Networks Hit paper breakdown → | 2015 | 944 |
| 2 | Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation Hit paper breakdown → | 2014 | 708 |
| 3 | Towards Accurate Multi-person Pose Estimation in the Wild Hit paper breakdown → | 2017 | 600 |
| 4 | Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks Hit paper breakdown → | 2014 | 565 |
| 5 | With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Hit paper breakdown → | 2021 | 281 |
| 6 | 2015 | 105 | |
| 7 | 2015 | 102 | |
| 8 | 2021 | 97 | |
| 9 | 2020 | 78 | |
| 10 | 2015 | 74 | |
| 11 | 2018 | 61 | |
| 12 | Interactive Language: Talking to Robots in Real Time Hit paper breakdown → | 2024 | 52 |
| 13 | 2023 | 42 | |
| 14 | 2018 | 30 | |
| 15 | 2024 | 28 | |
| 16 | 2018 | 25 | |
| 17 | 2023 | 22 | |
| 18 | Offline Reinforcement Learning with Fisher Divergence Critic Regularization | 2021 | 19 |
| 19 | Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units | 2018 | 13 |
| 20 | Accelerating Eulerian Fluid Simulation With Convolutional Networks | 2016 | 9 |
About Jonathan Tompson
Jonathan Tompson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics and Human-Computer Interaction, having authored 30 papers that have together received 3.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Reinforcement Learning in Robotics (9 papers), Multimodal Machine Learning Applications (6 papers), Anomaly Detection Techniques and Applications (5 papers), Robot Manipulation and Learning (4 papers), Video Surveillance and Tracking Methods (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Human-Computer Interaction (884 citations), Computer Vision and Pattern Recognition (2.8k citations), Artificial Intelligence (1.2k citations), Control and Systems Engineering (601 citations) and Signal Processing (146 citations). Jonathan Tompson has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Yann LeCun, Christoph Bregler, Arjun Jain, Ross Goroshin, Ken Perlin, Debidatta Dwibedi, Pierre Sermanet, Tyler Zhu, George Papandreou and Kevin Murphy. Their work appears in journals such as IEEE Robotics and Automation Letters, ACM Transactions on Graphics, Lecture notes in computer science, International Conference on Learning Representations and MPG.PuRe (Max Planck Society).
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.