Jonathan Tompson

14 papers and 1.0k indexed citations .

Jonathan Tompson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Jonathan Tompson has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Human-Computer Interaction. Recurrent topics in Jonathan Tompson’s work include Reinforcement Learning in Robotics (5 papers), Human Pose and Action Recognition (5 papers) and Multimodal Machine Learning Applications (4 papers). Jonathan Tompson is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Human Pose and Action Recognition (5 papers) and Multimodal Machine Learning Applications (4 papers). Jonathan Tompson collaborates with scholars based in United States, China and Switzerland. Jonathan Tompson's co-authors include Yann LeCun, Arjun Jain, Christoph Bregler, Ken Perlin, Debidatta Dwibedi, Pierre Sermanet, Andrew Zisserman, Yusuf Aytar, Ilya Kostrikov and Supasorn Suwajanakorn and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).