Abhinav Gupta

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Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Abhinav ShrivastavaAssistant Professor, University of Maryland, College ParkVerified email at cs.umd.edu
martial hebertCMUVerified email at ri.cmu.edu
Xiaolong WangAssistant Professor, UC San DiegoVerified email at eng.ucsd.edu
Ali FarhadiAssociate Professor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Lerrel PintoNew York UniversityVerified email at cs.nyu.edu
David FouheyAssistant Professor U. Michigan EECSVerified email at umich.edu
Xinlei ChenFacebook AI ResearchVerified email at fb.com
Carl DoerschResearch Scientist, DeepMindVerified email at google.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Gunnar Atli SigurdssonGraduate Student, The Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ishan MisraResearch Scientist, Facebook AI ResearchVerified email at fb.com
Josef SivicCzech Technical University, CIIRC, ELLIS Unit PragueVerified email at cvut.cz
Saurabh SinghResearch Scientist, GoogleVerified email at google.com
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Ivan LaptevResearch director, INRIAVerified email at inria.fr
Bryan RussellResearcher, AdobeVerified email at adobe.com
Rohit GirdharResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com

Abhinav Gupta

Associate Professor, Robotics Institute, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Computer Vision Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-local neural networks X Wang, R Girshick, A Gupta, K He Proceedings of the IEEE conference on computer vision and pattern …, 2018	3330	2018
Training region-based object detectors with online hard example mining A Shrivastava, A Gupta, R Girshick Proceedings of the IEEE conference on computer vision and pattern …, 2016	1491	2016
Unsupervised visual representation learning by context prediction C Doersch, A Gupta, AA Efros Proceedings of the IEEE international conference on computer vision, 1422-1430, 2015	1367	2015
The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015	1282	2015
Target-driven visual navigation in indoor scenes using deep reinforcement learning Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi 2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017	996	2017
Ensemble of exemplar-svms for object detection and beyond T Malisiewicz, A Gupta, AA Efros 2011 International conference on computer vision, 89-96, 2011	993	2011
Revisiting unreasonable effectiveness of data in deep learning era C Sun, A Shrivastava, S Singh, A Gupta Proceedings of the IEEE international conference on computer vision, 843-852, 2017	986	2017
Unsupervised learning of visual representations using videos X Wang, A Gupta Proceedings of the IEEE international conference on computer vision, 2794-2802, 2015	894	2015
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours L Pinto, A Gupta 2016 IEEE international conference on robotics and automation (ICRA), 3406-3413, 2016	799	2016
Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018	788	2018
Unsupervised discovery of mid-level discriminative patches S Singh, A Gupta, AA Efros European Conference on Computer Vision, 73-86, 2012	691	2012
Cross-stitch networks for multi-task learning I Misra, A Shrivastava, A Gupta, M Hebert Proceedings of the IEEE conference on computer vision and pattern …, 2016	653	2016
What makes paris look like paris? C Doersch, S Singh, A Gupta, J Sivic, A Efros ACM Transactions on Graphics 31 (4), 2012	605	2012
Hollywood in homes: Crowdsourcing data collection for activity understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta European Conference on Computer Vision, 510-526, 2016	574	2016
Observing human-object interactions: Using spatial and functional compatibility for recognition A Gupta, A Kembhavi, LS Davis IEEE transactions on pattern analysis and machine intelligence 31 (10), 1775 …, 2009	563	2009
Generative image modeling using style and structure adversarial networks X Wang, A Gupta European conference on computer vision, 318-335, 2016	514	2016
Neil: Extracting visual knowledge from web data X Chen, A Shrivastava, A Gupta Proceedings of the IEEE international conference on computer vision, 1409-1416, 2013	492	2013
Learning a predictable and generative vector representation for objects R Girdhar, DF Fouhey, M Rodriguez, A Gupta European Conference on Computer Vision, 484-499, 2016	488	2016
An uncertain future: Forecasting from static images using variational autoencoders J Walker, C Doersch, A Gupta, M Hebert European Conference on Computer Vision, 835-851, 2016	448	2016
A-fast-rcnn: Hard positive generation via adversary for object detection X Wang, A Shrivastava, A Gupta Proceedings of the IEEE conference on computer vision and pattern …, 2017	414	2017

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