Olga Russakovsky

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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 California IrvineVerified email at uci.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 KhoslaCTO, Iterative ScopesVerified email at iterativescopes.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 google.com
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.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
Gunnar Atli SigurdssonAmazonVerified email at cs.cmu.edu
Li-Jia LiChief AI Fellow, RWE for Sleep, School of Medicine, Stanford UniversityVerified email at cs.stanford.edu
Mykhaylo AndrilukaGoogle ResearchVerified email at google.com
Ian GoodfellowDeepMindVerified email at deepmind.com
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified 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	31881	2014
What's the point: Semantic segmentation with point supervision A Bearman, O Russakovsky, V Ferrari, L Fei-Fei ECCV, 2016	757	2016
End-to-end Learning of Action Detection from Frame Glimpses in Videos S Yeung, O Russakovsky, G Mori, L Fei-Fei CVPR, 2016	597	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	397	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	240	2012
Attribute learning in large-scale datasets O Russakovsky, L Fei-Fei ECCV Workshop on Parts and Attributes, 2010	232	2010
Best of both worlds: human-machine collaboration for object annotation O Russakovsky, LJ Li, L Fei-Fei CVPR, 2015	215	2015
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	172	2020
Scalable Multi-label Annotation J Deng, O Russakovsky, J Krause, M Bernstein, A Berg, L Fei-Fei CHI, 2014	161	2014
Cornernet-lite: Efficient keypoint based object detection H Law, Y Teng, O Russakovsky, J Deng arXiv preprint arXiv:1904.08900, 2019	155	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	124	2020
Crowdsourcing in computer vision A Kovashka, O Russakovsky, L Fei-Fei, K Grauman Foundations and Trends® in computer graphics and Vision 10 (3), 177-243, 2016	118	2016
What Actions are Needed for Understanding Human Actions in Videos? GA Sigurdsson, O Russakovsky, A Gupta ICCV, 2017	116	2017
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	115	2019
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	94	2013
Predictive-Corrective Networks for Action Detection A Dave, O Russakovsky, D Ramanan CVPR, 2017	62	2017
REVISE: A tool for measuring and mitigating bias in visual datasets A Wang, A Liu, R Zhang, A Kleiman, L Kim, D Zhao, I Shirai, A Narayanan, ... International Journal of Computer Vision, 1-21, 2022	54	2022
A study of face obfuscation in imagenet K Yang, JH Yau, L Fei-Fei, J Deng, O Russakovsky International Conference on Machine Learning, 25313-25330, 2022	51	2022
ImageNet large scale visual recognition challenge (2014) O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ... arXiv preprint arXiv:1409.0575 2 (3), 2014	51	2014
Training conditional random fields for maximum labelwise accuracy S Gross, O Russakovsky, S Batzoglou Advances in neural information processing systems 19, 2006	48	2006

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