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
Pieter AbbeelUC Berkeley | Amazon FARVerified email at cs.berkeley.edu
Philipp KrähenbühlUT Austin / AppleVerified email at cs.utexas.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Igor MordatchGoogle DeepMind, UC BerkeleyVerified email at google.com
Jeff DonahueResearch Scientist, DeepMindVerified email at google.com
Jun-Yan ZhuCo-Founder, Nunchux AI; Associate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Richard ZhangPrincipal Scientist, AdobeVerified email at adobe.com
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 RybkinCursorVerified email at cursor.com
Evan ShelhamerUBC / Vector Institute / CIFAR AI ChairVerified email at cs.ubc.ca
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Piotr DollárThinking MachinesVerified email at thinkingmachines.ai
Ross GirshickVerified email at eecs.berkeley.edu
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Judy HoffmanAssociate Professor, UC IrvineVerified email at uci.edu
Alison GOPNIKProfessor of Psychology, BerkeleyVerified email at berkeley.edu

Deepak Pathak

CEO & Co-Founder at Skild AI | Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Robotics Deep Learning Computer Vision 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	8174	2016
Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International Conference on Machine Learning, 2778-2787, 2017	4378	2017
Open X-Embodiment: Robotic learning datasets and RT-X models OXE Collaboration, A O’Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, ... arXiv preprint arXiv:2310.08864 1 (2), 2023	2629*	2023
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	2260	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	2193	2022
Rma: Rapid motor adaptation for legged robots A Kumar, Z Fu, D Pathak, J Malik arXiv preprint arXiv:2107.04034, 2021	1300	2021
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	1159	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	845	2015
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	703	2020
Learning features by watching objects move D Pathak, R Girshick, P Dollár, T Darrell, B Hariharan 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6024 …, 2017	671	2017
Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864 2 (3), 4, 2023	622	2023
Self-supervised exploration via disagreement D Pathak, D Gandhi, A Gupta International conference on machine learning, 5062-5071, 2019	613	2019
Evaluating text-to-visual generation with image-to-text generation Z Lin, D Pathak, B Li, J Li, X Xia, G Neubig, P Zhang, D Ramanan European Conference on Computer Vision, 366-384, 2024	594	2024
Your diffusion model is secretly a zero-shot classifier AC Li, M Prabhudesai, S Duggal, E Brown, D Pathak 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2206-2217, 2023	512	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	498	2024
Legged locomotion in challenging terrains using egocentric vision A Agarwal, A Kumar, J Malik, D Pathak Conference on robot learning, 403-415, 2023	427	2023
Fully convolutional multi-class multiple instance learning D Pathak, E Shelhamer, J Long, T Darrell arXiv preprint arXiv:1412.7144, 2014	424	2014
Affordances from human videos as a versatile representation for robotics S Bahl, R Mendonca, L Chen, U Jain, D Pathak 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023	393	2023
Zero-shot visual imitation D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, F Shentu, ... 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018	393	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	345	2020

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