Jonathan Tompson

24 papers and 2.7k indexed citations i.

Jonathan Tompson has authored 24 papers that have received a total of 2.7k indexed citations. This includes 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. The topics of these papers are Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (6 papers) and Reinforcement Learning in Robotics (6 papers). Jonathan Tompson is often cited by papers focused on Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (6 papers) and Reinforcement Learning in Robotics (6 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Jonathan Tompson's co-authors include Debidatta Dwibedi, Pierre Sermanet, Yann LeCun, Andrew Zisserman and Christoph Bregler and has published in prestigious journals such as ACM Transactions on Graphics and IEEE Robotics and Automation Letters.