Jonathan Tompson
Jonathan Tompson
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Cited by
Cited by
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 27, 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), 1-10, 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
International Conference on Machine Learning, 3424-3433, 2017
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
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
Discovery of latent 3d keypoints via end-to-end geometric reasoning
S Suwajanakorn, N Snavely, J Tompson, M Norouzi
arXiv preprint arXiv:1807.03146, 2018
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
Temporal cycle-consistency learning
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Learning latent plans from play
C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet
Conference on Robot Learning, 1113-1132, 2020
Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning
I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson
arXiv preprint arXiv:1809.02925, 2018
An introduction to the opencl programming model
J Tompson, K Schlachter
Person Education 49, 31, 2012
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
Unsupervised feature learning from temporal data
R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun
arXiv preprint arXiv:1504.02518, 2015
Imitation learning via off-policy distribution matching
I Kostrikov, O Nachum, J Tompson
arXiv preprint arXiv:1912.05032, 2019
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
Learning robotic manipulation of granular media
C Schenck, J Tompson, S Levine, D Fox
Conference on Robot Learning, 239-248, 2017
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