Deepak Pathak

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyDirección de correo verificada de eecs.berkeley.edu
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Pulkit AgrawalMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Philipp KrähenbühlUT AustinDirección de correo verificada de cs.utexas.edu
Pieter AbbeelUC Berkeley | CovariantDirección de correo verificada de cs.berkeley.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Jeff DonahueResearch Scientist, DeepMindDirección de correo verificada de google.com
Igor MordatchGoogle DeepMindDirección de correo verificada de google.com
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Richard ZhangSenior Research Scientist, AdobeDirección de correo verificada de adobe.com
Evan ShelhamerUBC / Vector Institute / Google DeepMindDirección de correo verificada de cs.ubc.ca
Danijar HafnerGoogle DeepMindDirección de correo verificada de google.com
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Oleh RybkinPostdoc, University of California, BerkeleyDirección de correo verificada de seas.upenn.edu
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKDirección de correo verificada de ed.ac.uk
Piotr DollárFAIRDirección de correo verificada de fb.com
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Dirección de correo verificada de allenai.org
bharath hariharanCornell UniversityDirección de correo verificada de cs.cornell.edu
Judy HoffmanAssistant Professor, Georgia TechDirección de correo verificada de gatech.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityDirección de correo verificada de princeton.edu

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Deepak Pathak

Assistant Professor, Carnegie Mellon University

Dirección de correo verificada de cs.cmu.edu - Página principal

Computer Vision Deep Learning Robotics Reinforcement Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	6903	2016
Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International Conference on Machine Learning, 2778-2787, 2017	3035	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	1989	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	1051	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	914	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	787	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	632	2017
Rma: Rapid motor adaptation for legged robots A Kumar, Z Fu, D Pathak, J Malik arXiv preprint arXiv:2107.04034, 2021	529	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	455	2020
Self-supervised exploration via disagreement D Pathak, D Gandhi, A Gupta International conference on machine learning, 5062-5071, 2019	450	2019
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	442*	2023
Fully convolutional multi-class multiple instance learning D Pathak, E Shelhamer, J Long, T Darrell arXiv preprint arXiv:1412.7144, 2014	404	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	328	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	219	2023
Legged locomotion in challenging terrains using egocentric vision A Agarwal, A Kumar, J Malik, D Pathak Conference on robot learning, 403-415, 2023	211	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	176	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	159	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	144	2019

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