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Jonathan Tompson
Jonathan Tompson
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Title
Cited by
Cited by
Year
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
16532014
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
14122015
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
8112014
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
7692017
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
5142018
Accelerating eulerian fluid simulation with convolutional networks
J Tompson, K Schlachter, P Sprechmann, K Perlin
International Conference on Machine Learning, 3424-3433, 2017
4912017
Learning human pose estimation features with convolutional networks
A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler
arXiv preprint arXiv:1312.7302, 2013
2252013
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 31, 2018
2112018
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
2052020
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
1982014
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
1932019
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
1882018
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
1632015
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
1492015
Transporter networks: Rearranging the visual world for robotic manipulation
A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ...
Conference on Robot Learning, 726-747, 2021
1242021
With a little help from my friends: Nearest-neighbor contrastive learning of visual representations
D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1242021
Offline reinforcement learning with fisher divergence critic regularization
I Kostrikov, R Fergus, J Tompson, O Nachum
International Conference on Machine Learning, 5774-5783, 2021
972021
An introduction to the opencl programming model
J Tompson, K Schlachter
Person Education 49, 31, 2012
922012
Imitation learning via off-policy distribution matching
I Kostrikov, O Nachum, J Tompson
arXiv preprint arXiv:1912.05032, 2019
822019
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
772016
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