Jonathan Tompson
Jonathan Tompson
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TitleCited byYear
Joint training of a convolutional network and a graphical model for human pose estimation
JJ Tompson, A Jain, Y LeCun, C Bregler
Advances in neural information processing systems, 1799-1807, 2014
Efficient object localization using convolutional networks
J Tompson, R Goroshin, A Jain, Y LeCun, C Bregler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Real-time continuous pose recovery of human hands using convolutional networks
J Tompson, M Stein, Y Lecun, K Perlin
ACM Transactions on Graphics (ToG) 33 (5), 169, 2014
Towards accurate multi-person pose estimation in the wild
G Papandreou, T Zhu, N Kanazawa, A Toshev, J Tompson, C Bregler, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Accelerating eulerian fluid simulation with convolutional networks
J Tompson, K Schlachter, P Sprechmann, K Perlin
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Learning human pose estimation features with convolutional networks
A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler
arXiv preprint arXiv:1312.7302, 2013
Modeep: A deep learning framework using motion features for human pose estimation
A Jain, J Tompson, Y LeCun, C Bregler
Asian conference on computer vision, 302-315, 2014
Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras
A Elhayek, E de Aguiar, A Jain, J Tompson, L Pishchulin, M Andriluka, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Unsupervised learning of spatiotemporally coherent metrics
R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun
Proceedings of the IEEE international conference on computer vision, 4086-4093, 2015
An introduction to the opencl programming model
J Tompson, K Schlachter
Person Education 49, 31, 2012
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy
Proceedings of the European Conference on Computer Vision (ECCV), 269-286, 2018
Discovery of latent 3d keypoints via end-to-end geometric reasoning
S Suwajanakorn, N Snavely, JJ Tompson, M Norouzi
Advances in Neural Information Processing Systems, 2059-2070, 2018
Unsupervised feature learning from temporal data
R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun
arXiv preprint arXiv:1504.02518, 2015
MARCOnI—ConvNet-Based MARker-less motion capture in outdoor and indoor scenes
A Elhayek, E de Aguiar, A Jain, J Thompson, L Pishchulin, M Andriluka, ...
IEEE transactions on pattern analysis and machine intelligence 39 (3), 501-514, 2016
Learning Latent Plans from Play
C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet
arXiv preprint arXiv:1903.01973, 2019
Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning
I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson
Learning robotic manipulation of granular media
C Schenck, J Tompson, D Fox, S Levine
arXiv preprint arXiv:1709.02833, 2017
Temporal reasoning in videos using convolutional gated recurrent units
D Dwibedi, P Sermanet, J Tompson
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Learning actionable representations from visual observations
D Dwibedi, J Tompson, C Lynch, P Sermanet
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
2.6-GHz RF inductive power delivery for contactless on-wafer characterization
J Tompson, A Dohn, P Kinget
2008 IEEE International Conference on Microelectronic Test Structures, 175-179, 2008
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