Abhinav Gupta

Cited by

	All	Since 2015
Citations	24741	22187
h-index	69	66
i10-index	124	116

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20092010201120122013201420152016201720182019202092 136 217 367 615 922 1171 1733 2611 4036 5761 6795

Co-authors

martial hebertCMUVerified email at ri.cmu.edu
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Abhinav ShrivastavaAssistant Professor, University of Maryland, College ParkVerified email at cs.umd.edu
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Ali FarhadiAssociate Professor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.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
Josef SivicCzech Technical University, Inria, Ecole Normale Superieure/PSL Research UniversityVerified email at cvut.cz
Saurabh SinghResearch Scientist, GoogleVerified email at google.com
Ishan MisraResearch Scientist, Facebook AI ResearchVerified email at fb.com
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu
Bryan RussellResearcher, AdobeVerified email at adobe.com
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Rohit GirdharResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Ivan LaptevResearch director, INRIAVerified email at inria.fr

Abhinav Gupta

Associate Professor, Robotics Institute, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Computer Vision


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	2015	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	1190	2016
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	1136	2015
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	953	2015
Ensemble of exemplar-svms for object detection and beyond T Malisiewicz, A Gupta, AA Efros 2011 International conference on computer vision, 89-96, 2011	911	2011
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	810	2017
Unsupervised learning of visual representations using videos X Wang, A Gupta Proceedings of the IEEE international conference on computer vision, 2794-2802, 2015	744	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	693	2016
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	656	2017
Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018	655	2018
Unsupervised discovery of mid-level discriminative patches S Singh, A Gupta, AA Efros European Conference on Computer Vision, 73-86, 2012	639	2012
What makes paris look like paris? C Doersch, S Singh, A Gupta, J Sivic, A Efros	540	2012
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	516	2009
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	504	2016
Generative image modeling using style and structure adversarial networks X Wang, A Gupta European conference on computer vision, 318-335, 2016	433	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	432	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	407	2016
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	403	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	376	2016
Blocks world revisited: Image understanding using qualitative geometry and mechanics A Gupta, AA Efros, M Hebert European Conference on Computer Vision, 482-496, 2010	357	2010

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