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Fingerprint Dive into the research topics where Olga Russakovsky is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 23 Similar Profiles
Labels Engineering & Materials Science
Labeling Engineering & Materials Science
Computer vision Engineering & Materials Science
Image classification Engineering & Materials Science
Volatile organic compounds Engineering & Materials Science
Semantics Engineering & Materials Science
Object recognition Engineering & Materials Science
Detectors Engineering & Materials Science

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Research Output 2007 2018

20 Citations (Scopus)

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Yeung, S., Russakovsky, O., Jin, N., Andriluka, M., Mori, G. & Fei-Fei, L., Apr 1 2018, In : International Journal of Computer Vision. 126, 2-4, p. 375-389 15 p.

Research output: Contribution to journalArticle

Labeling
Labels
Internet
Long short-term memory

The more you look, the more you see: Towards general object understanding through recursive refinement

Wang, J., Russakovsky, O. & Ramanan, D., May 3 2018, Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. Institute of Electrical and Electronics Engineers Inc., p. 1794-1803 10 p. (Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018; vol. 2018-January).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Pipelines
Volatile organic compounds
Experiments
Deep neural networks
1 Citation (Scopus)

Learning to learn from noisy web videos

Yeung, S., Ramanathan, V., Russakovsky, O., Shen, L., Mori, G. & Fei-Fei, L., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 7455-7463 9 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Classifiers
Reinforcement learning
Sports
Computer vision
7 Citations (Scopus)

Predictive-corrective networks for action detection

Dave, A., Russakovsky, O. & Ramanan, D., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 2067-2076 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image understanding
Optical flows
Recurrent neural networks
Network architecture
Time series
13 Citations (Scopus)

What Actions are Needed for Understanding Human Actions in Videos?

Sigurdsson, G. A., Russakovsky, O. & Gupta, A., Dec 22 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 2156-2165 10 p. 8237497. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Benchmarking
Experiments