Deepak Pathak

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Pulkit AgrawalMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Philipp KrähenbühlUT AustinAdresse e-mail validée de cs.utexas.edu
Pieter AbbeelUC Berkeley | CovariantAdresse e-mail validée de cs.berkeley.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Jeff DonahueResearch Scientist, DeepMindAdresse e-mail validée de google.com
Igor MordatchGoogle DeepMindAdresse e-mail validée de google.com
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Richard ZhangSenior Research Scientist, AdobeAdresse e-mail validée de adobe.com
Evan ShelhamerDeepMindAdresse e-mail validée de deepmind.com
Danijar HafnerGoogle DeepMindAdresse e-mail validée de google.com
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Oleh RybkinPostdoc, University of California, BerkeleyAdresse e-mail validée de seas.upenn.edu
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKAdresse e-mail validée de ed.ac.uk
Piotr DollárFAIRAdresse e-mail validée de fb.com
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Adresse e-mail validée de allenai.org
bharath hariharanCornell UniversityAdresse e-mail validée de cs.cornell.edu
Judy HoffmanAssistant Professor, Georgia TechAdresse e-mail validée de gatech.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityAdresse e-mail validée de princeton.edu

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Deepak Pathak

Assistant Professor, Carnegie Mellon University

Adresse e-mail validée de cs.cmu.edu - Page d'accueil

Computer Vision Deep Learning Robotics Reinforcement Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	6795	2016
Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International Conference on Machine Learning, 2778-2787, 2017	2978	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	1913	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	989	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	904	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	784	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	628	2017
Rma: Rapid motor adaptation for legged robots A Kumar, Z Fu, D Pathak, J Malik arXiv preprint arXiv:2107.04034, 2021	508	2021
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	449	2020
Self-supervised exploration via disagreement D Pathak, D Gandhi, A Gupta International conference on machine learning, 5062-5071, 2019	441	2019
Fully convolutional multi-class multiple instance learning D Pathak, E Shelhamer, J Long, T Darrell arXiv preprint arXiv:1412.7144, 2014	400	2014
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	398*	2023
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	326	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	266	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	206	2023
Investigating human priors for playing video games R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros arXiv preprint arXiv:1802.10217, 2018	206	2018
Legged locomotion in challenging terrains using egocentric vision A Agarwal, A Kumar, J Malik, D Pathak Conference on robot learning, 403-415, 2023	202	2023
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	173	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	156	2023
Learning to control self-assembling morphologies: a study of generalization via modularity D Pathak, C Lu, T Darrell, P Isola, AA Efros Advances in Neural Information Processing Systems 32, 2019	138	2019

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