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 California IrvineVerified email at uci.edu
Jonathan KrauseGoogleVerified email at google.com
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Sanjeev SatheeshStanford UniversityVerified email at stanford.edu
Hao SuUCSD CSEVerified email at ucsd.edu
Aditya KhoslaCTO, Iterative HealthVerified email at iterative.health
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
Gunnar Atli SigurdssonAmazonVerified 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
Li-Jia LiChief AI, IEEE FellowVerified email at healthunity.org
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	37745	2014
What's the point: Semantic segmentation with point supervision A Bearman, O Russakovsky, V Ferrari, L Fei-Fei ECCV, 2016	925	2016
End-to-end Learning of Action Detection from Frame Glimpses in Videos S Yeung, O Russakovsky, G Mori, L Fei-Fei CVPR, 2016	660	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, 375-389, 2018	446	2018
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	254	2020
Attribute learning in large-scale datasets O Russakovsky, L Fei-Fei ECCV Workshop on Parts and Attributes, 2010	251	2010
Best of both worlds: human-machine collaboration for object annotation O Russakovsky, LJ Li, L Fei-Fei CVPR, 2015	244	2015
Object-centric spatial pooling for image classification O Russakovsky, Y Lin, K Yu, L Fei-Fei Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	244	2012
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	211	2020
Cornernet-lite: Efficient keypoint based object detection H Law, Y Teng, O Russakovsky, J Deng arXiv preprint arXiv:1904.08900, 2019	192	2019
Scalable Multi-label Annotation J Deng, O Russakovsky, J Krause, M Bernstein, A Berg, L Fei-Fei CHI, 2014	177	2014
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	167	2019
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	139	2016
What Actions are Needed for Understanding Human Actions in Videos? GA Sigurdsson, O Russakovsky, A Gupta ICCV, 2017	134	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	107	2013
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 130 (7), 1790-1810, 2022	96	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	85	2022
Fair attribute classification through latent space de-biasing VV Ramaswamy, SSY Kim, O Russakovsky Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	82	2021
Predictive-Corrective Networks for Action Detection A Dave, O Russakovsky, D Ramanan CVPR, 2017	65	2017
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	57	2014

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