Olga Russakovsky - Google Scholar

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jia DengPrinceton UniversityVerified email at cs.princeton.edu
Alexander C BergProfessor of Computer Science, University of North Carolina at Chapel HillVerified email at cs.unc.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Jonathan KrauseGoogleVerified email at google.com
Sanjeev SatheeshStanford UniversityVerified email at stanford.edu
Hao SuProfessor of Computer Science, UCSDVerified email at ucsd.edu
Aditya KhoslaCo-founder and CTO, PathAIVerified email at pathai.com
Andrej KarpathyComputer Science PhD student, Stanford UniversityVerified email at cs.stanford.edu
Greg MoriResearch Director, Borealis AI; Professor, School of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Serena YeungStanford UniversityVerified email at stanford.edu
Vittorio FerrariResearch Scientist at GoogleVerified email at staffmail.ed.ac.uk
Li-Jia LiAdjunct Professor, School of Medicine, Stanford UniversityVerified email at cs.stanford.edu
Kai YuFounder&CEO of Horizon Robotics , Founder of Baidu IDL and Baidu Autonomous DrivingVerified email at hobot.cc
Yuanqing LinAibeeVerified email at aibee.co
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Mykhaylo AndrilukaGoogle ResearchVerified email at google.com
Gunnar Atli SigurdssonGraduate Student, The Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ian GoodfellowVerified email at cs.stanford.edu
Stephen GouldAustralian National UniversityVerified email at anu.edu.au

Olga Russakovsky

Assistant Professor, Princeton University

Verified email at cs.princeton.edu - Homepage

Computer vision


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ImageNet Large Scale Visual Recognition Challenge O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ... arXiv preprint arXiv:1409.0575, 2014	17572	2014
End-to-end Learning of Action Detection from Frame Glimpses in Videos S Yeung, O Russakovsky, G Mori, L Fei-Fei CVPR, 2016	385	2016
What's the point: Semantic segmentation with point supervision A Bearman, O Russakovsky, V Ferrari, L Fei-Fei ECCV, 2016	341	2016
Every moment counts: Dense detailed labeling of actions in complex videos S Yeung, O Russakovsky, N Jin, M Andriluka, G Mori, L Fei-Fei International Journal of Computer Vision 126 (2-4), 375-389, 2018	231	2018
Object-centric spatial pooling for image classification O Russakovsky, Y Lin, K Yu, L Fei-Fei European conference on computer vision, 1-15, 2012	208	2012
Attribute learning in large-scale datasets O Russakovsky, L Fei-Fei ECCV Workshop on Parts and Attributes, 2010	190	2010
Best of both worlds: human-machine collaboration for object annotation O Russakovsky, LJ Li, L Fei-Fei CVPR, 2015	138	2015
Scalable Multi-label Annotation J Deng, O Russakovsky, J Krause, M Bernstein, A Berg, L Fei-Fei CHI, 2014	110	2014
Crowdsourcing in computer vision A Kovashka, O Russakovsky, L Fei-Fei, K Grauman arXiv preprint arXiv:1611.02145, 2016	75	2016
What Actions are Needed for Understanding Human Actions in Videos? GA Sigurdsson, O Russakovsky, A Gupta ICCV, 2017	74	2017
Detecting avocados to zucchinis: what have we done, and where are we going? O Russakovsky, J Deng, Z Huang, AC Berg, L Fei-Fei ICCV, 2013	73	2013
Predictive-Corrective Networks for Action Detection A Dave, O Russakovsky, D Ramanan CVPR, 2017	45	2017
Training conditional random fields for maximum labelwise accuracy SS Gross, O Russakovsky, CB Do, S Batzoglou Advances in Neural Information Processing Systems, 529-536, 2007	45	2007
STAIR Vision Library (v2. 5) S Gould, O Russakovsky, I Goodfellow, P Baumstarck	37*	2011
Autonomous operation of novel elevators for robot navigation E Klingbeil, B Carpenter, O Russakovsky, AY Ng 2010 IEEE International Conference on Robotics and Automation, 751-758, 2010	35	2010
Cornernet-lite: Efficient keypoint based object detection H Law, Y Teng, O Russakovsky, J Deng arXiv preprint arXiv:1904.08900, 2019	34	2019
A steiner tree approach to efficient object detection O Russakovsky, AY Ng 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	24	2010
Learning to learn from noisy web videos S Yeung, V Ramanathan, O Russakovsky, L Shen, G Mori, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	22	2017
Much ado about time: Exhaustive annotation of temporal data GA Sigurdsson, O Russakovsky, A Farhadi, I Laptev, A Gupta HCOMP, 2016	19	2016
Human uncertainty makes classification more robust JC Peterson, RM Battleday, TL Griffiths, O Russakovsky Proceedings of the IEEE International Conference on Computer Vision, 9617-9626, 2019	14	2019

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