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Olga Russakovsky
Olga Russakovsky
Assistant Professor, Princeton University
Zweryfikowany adres z cs.princeton.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
364882014
What's the point: Semantic segmentation with point supervision
A Bearman, O Russakovsky, V Ferrari, L Fei-Fei
ECCV, 2016
8832016
End-to-end Learning of Action Detection from Frame Glimpses in Videos
S Yeung, O Russakovsky, G Mori, L Fei-Fei
CVPR, 2016
6512016
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
4372018
Attribute learning in large-scale datasets
O Russakovsky, L Fei-Fei
ECCV Workshop on Parts and Attributes, 2010
2462010
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
2442012
Best of both worlds: human-machine collaboration for object annotation
O Russakovsky, LJ Li, L Fei-Fei
CVPR, 2015
2392015
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
2332020
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
1852020
Cornernet-lite: Efficient keypoint based object detection
H Law, Y Teng, O Russakovsky, J Deng
arXiv preprint arXiv:1904.08900, 2019
1842019
Scalable Multi-label Annotation
J Deng, O Russakovsky, J Krause, M Bernstein, A Berg, L Fei-Fei
CHI, 2014
1742014
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
1532019
What Actions are Needed for Understanding Human Actions in Videos?
GA Sigurdsson, O Russakovsky, A Gupta
ICCV, 2017
1342017
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
1342016
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
1042013
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
852022
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
772022
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
732021
Predictive-Corrective Networks for Action Detection
A Dave, O Russakovsky, D Ramanan
CVPR, 2017
642017
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
562014
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