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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.
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Projects
- 2 Active
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CAREER: Overcoming bias in computer vision: Building fairer systems and training diverse leaders
NSF - National Science Foundation
6/15/22 → 5/31/27
Project: Research project
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RI: Medium: Improving grounding, generalization and contextual reasoning in vision and language models
NSF - National Science Foundation
9/1/21 → 8/31/25
Project: Research project
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REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Wang, A., Liu, A., Zhang, R., Kleiman, A., Kim, L., Zhao, D., Shirai, I., Narayanan, A. & Russakovsky, O., Jul 2022, In: International Journal of Computer Vision. 130, 7, p. 1790-1810 21 p.Research output: Contribution to journal › Article › peer-review
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Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Wang, A., Ramaswamy, V. V. & Russakovsky, O., Jun 21 2022, Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. Association for Computing Machinery, p. 336-349 14 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Fair Attribute Classification through Latent Space De-biasing
Ramaswamy, V. V., Kim, S. S. Y. & Russakovsky, O., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 9297-9306 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
7 Scopus citations -
Evolving graphical planner: Contextual global planning for vision-and-language navigation
Deng, Z., Narasimhan, K. & Russakovsky, O., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
7 Scopus citations -
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Wang, A., Narayanan, A. & Russakovsky, O., 2020, Computer Vision – ECCV 2020 - 16th European Conference 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 733-751 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12348 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
9 Scopus citations