Deepak Pathak
Deepak Pathak
Assistant Professor, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Context encoders: Feature learning by inpainting
D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros
Proceedings of the IEEE conference on computer vision and pattern …, 2016
27472016
Curiosity-driven exploration by self-supervised prediction
D Pathak, P Agrawal, AA Efros, T Darrell
International Conference on Machine Learning, 2778-2787, 2017
10372017
Toward Multimodal Image-to-Image Translation
JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman
Advances in Neural Information Processing Systems, 465-476, 2017
7902017
Constrained convolutional neural networks for weakly supervised segmentation
D Pathak, P Krahenbuhl, T Darrell
Proceedings of the IEEE international conference on computer vision, 1796-1804, 2015
4842015
Learning features by watching objects move
D Pathak, R Girshick, P Dollár, T Darrell, B Hariharan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3562017
Large-scale study of curiosity-driven learning
Y Burda, H Edwards, D Pathak, A Storkey, T Darrell, AA Efros
arXiv preprint arXiv:1808.04355, 2018
2962018
Fully convolutional multi-class multiple instance learning
D Pathak, E Shelhamer, J Long, T Darrell
arXiv preprint arXiv:1412.7144, 2014
2792014
Zero-shot visual imitation
D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1512018
Investigating human priors for playing video games
R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros
arXiv preprint arXiv:1802.10217, 2018
872018
Self-supervised exploration via disagreement
D Pathak, D Gandhi, A Gupta
International Conference on Machine Learning, 5062-5071, 2019
752019
Detector discovery in the wild: Joint multiple instance and representation learning
J Hoffman, D Pathak, T Darrell, K Saenko
Proceedings of the ieee conference on computer vision and pattern …, 2015
732015
Planning to explore via self-supervised world models
R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak
International Conference on Machine Learning, 8583-8592, 2020
352020
Visda: A synthetic-to-real benchmark for visual domain adaptation
X Peng, B Usman, N Kaushik, D Wang, J Hoffman, K Saenko
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
332018
Compositional gan: Learning image-conditional binary composition
S Azadi, D Pathak, S Ebrahimi, T Darrell
International Journal of Computer Vision 128 (10), 2570-2585, 2020
31*2020
Learning instance segmentation by interaction
D Pathak, Y Shentu, D Chen, P Agrawal, T Darrell, S Levine, J Malik
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
262018
Learning to control self-assembling morphologies: a study of generalization via modularity
D Pathak, C Lu, T Darrell, P Isola, AA Efros
arXiv preprint arXiv:1902.05546, 2019
242019
Anomaly Localization in Topic-based Analysis of Surveillance Videos
D Pathak, A Sharang, A Mukerjee
IEEE Winter Conference on Applications of Computer Vision (WACV 2015), 2015
222015
Large scale visual recognition through adaptation using joint representation and multiple instance learning
J Hoffman, D Pathak, E Tzeng, J Long, S Guadarrama, T Darrell, ...
The Journal of Machine Learning Research 17 (1), 4954-4984, 2016
192016
Third-person visual imitation learning via decoupled hierarchical controller
P Sharma, D Pathak, A Gupta
arXiv preprint arXiv:1911.09676, 2019
172019
Constrained structured regression with convolutional neural networks
D Pathak, P Krähenbühl, SX Yu, T Darrell
arXiv preprint arXiv:1511.07497, 2015
122015
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