Deepak Pathak

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyVerified email at eecs.berkeley.edu
Pulkit AgrawalMassachusetts Institute of TechnologyVerified email at mit.edu
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu
Pieter AbbeelUC Berkeley | CovariantVerified email at cs.berkeley.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jeff DonahueResearch Scientist, DeepMindVerified email at google.com
Igor MordatchGoogle DeepMindVerified email at google.com
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Richard ZhangSenior Research Scientist, AdobeVerified email at adobe.com
Evan ShelhamerUBC / Vector Institute / Google DeepMindVerified email at cs.ubc.ca
Danijar HafnerGoogle DeepMindVerified email at google.com
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
Oleh RybkinPostdoc, University of California, BerkeleyVerified email at seas.upenn.edu
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Piotr DollárFAIRVerified email at fb.com
Ross GirshickCo-Founder at VerceptVerified email at vercept.com
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Judy HoffmanAssistant Professor, Georgia TechVerified email at gatech.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu

Deepak Pathak

Assistant Professor, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Computer Vision Deep Learning Robotics Reinforcement Learning


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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	6972	2016
Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International Conference on Machine Learning, 2778-2787, 2017	3081	2017
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	1995	2017
Language models as zero-shot planners: Extracting actionable knowledge for embodied agents W Huang, P Abbeel, D Pathak, I Mordatch International conference on machine learning, 9118-9147, 2022	1089	2022
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	924	2018
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	788	2015
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	634	2017
Rma: Rapid motor adaptation for legged robots A Kumar, Z Fu, D Pathak, J Malik arXiv preprint arXiv:2107.04034, 2021	545	2021
Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023	486*	2023
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	462	2020
Self-supervised exploration via disagreement D Pathak, D Gandhi, A Gupta International conference on machine learning, 5062-5071, 2019	458	2019
Fully convolutional multi-class multiple instance learning D Pathak, E Shelhamer, J Long, T Darrell arXiv preprint arXiv:1412.7144, 2014	405	2014
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	331	2018
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	323	2020
Your diffusion model is secretly a zero-shot classifier AC Li, M Prabhudesai, S Duggal, E Brown, D Pathak Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	224	2023
Legged locomotion in challenging terrains using egocentric vision A Agarwal, A Kumar, J Malik, D Pathak Conference on robot learning, 403-415, 2023	221	2023
Investigating human priors for playing video games R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros arXiv preprint arXiv:1802.10217, 2018	208	2018
One policy to control them all: Shared modular policies for agent-agnostic control W Huang, I Mordatch, D Pathak International Conference on Machine Learning, 4455-4464, 2020	180	2020
Flavr: Flow-agnostic video representations for fast frame interpolation T Kalluri, D Pathak, M Chandraker, D Tran Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023	164	2023
Extreme parkour with legged robots X Cheng, K Shi, A Agarwal, D Pathak 2024 IEEE International Conference on Robotics and Automation (ICRA), 11443 …, 2024	148	2024

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