Olga Russakovsky

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Jia DengPrinceton UniversityDirección de correo verificada de cs.princeton.edu
Alexander C BergProfessor of Computer Science, University of North Carolina at Chapel HillDirección de correo verificada de cs.unc.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Jonathan KrauseGoogleDirección de correo verificada de google.com
Sanjeev SatheeshStanford UniversityDirección de correo verificada de stanford.edu
Hao SuProfessor of Computer Science, UCSDDirección de correo verificada de ucsd.edu
Andrej KarpathyComputer Science PhD student, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Aditya KhoslaCo-founder and CTO, PathAIDirección de correo verificada de pathai.com
Greg MoriResearch Director, Borealis AI; Professor, School of Computing Science, Simon Fraser UniversityDirección de correo verificada de cs.sfu.ca
Serena YeungStanford UniversityDirección de correo verificada de stanford.edu
Vittorio FerrariResearch Scientist at GoogleDirección de correo verificada de google.com
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Li-Jia LiAdjunct Professor, School of Medicine, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Kai YuFounder&CEO of Horizon Robotics , Founder of Baidu IDL and Baidu Autonomous DrivingDirección de correo verificada de hobot.cc
Yuanqing LinAibeeDirección de correo verificada de aibee.co
Mykhaylo AndrilukaGoogle ResearchDirección de correo verificada de google.com
Gunnar Atli SigurdssonGraduate Student, The Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Ian GoodfellowDirección de correo verificada de cs.stanford.edu
Stephen GouldProfessor at Australian National University | Scholar at AmazonDirección de correo verificada de anu.edu.au

Olga Russakovsky

Assistant Professor, Princeton University

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

Computer vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	24410	2014
End-to-end Learning of Action Detection from Frame Glimpses in Videos S Yeung, O Russakovsky, G Mori, L Fei-Fei CVPR, 2016	506	2016
What's the point: Semantic segmentation with point supervision A Bearman, O Russakovsky, V Ferrari, L Fei-Fei ECCV, 2016	505	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), 375-389, 2018	328	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	231	2012
Attribute learning in large-scale datasets O Russakovsky, L Fei-Fei ECCV Workshop on Parts and Attributes, 2010	218	2010
Best of both worlds: human-machine collaboration for object annotation O Russakovsky, LJ Li, L Fei-Fei CVPR, 2015	181	2015
Scalable Multi-label Annotation J Deng, O Russakovsky, J Krause, M Bernstein, A Berg, L Fei-Fei CHI, 2014	134	2014
Crowdsourcing in computer vision A Kovashka, O Russakovsky, L Fei-Fei, K Grauman arXiv preprint arXiv:1611.02145, 2016	97	2016
What Actions are Needed for Understanding Human Actions in Videos? GA Sigurdsson, O Russakovsky, A Gupta ICCV, 2017	94	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	84	2013
Cornernet-lite: Efficient keypoint based object detection H Law, Y Teng, O Russakovsky, J Deng arXiv preprint arXiv:1904.08900, 2019	77	2019
Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the imagenet hierarchy K Yang, K Qinami, L Fei-Fei, J Deng, O Russakovsky Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020	66	2020
Predictive-Corrective Networks for Action Detection A Dave, O Russakovsky, D Ramanan CVPR, 2017	60	2017
Training conditional random fields for maximum labelwise accuracy S Gross, O Russakovsky, S Batzoglou Advances in Neural Information Processing Systems 19, 529-536, 2006	46	2006
Human uncertainty makes classification more robust JC Peterson, RM Battleday, TL Griffiths, O Russakovsky Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	41	2019
Towards fairness in visual recognition: Effective strategies for bias mitigation Z Wang, K Qinami, IC Karakozis, K Genova, P Nair, K Hata, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	39	2020
STAIR Vision Library (v2. 5) S Gould, O Russakovsky, I Goodfellow, P Baumstarck	39*	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	39	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	26	2017

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