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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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Learning actionness from action/background discrimination
Yalcinkaya Simsek, O., Russakovsky, O. & Duygulu, P., Jun 2023, In: Signal, Image and Video Processing. 17, 4, p. 1599-1606 8 p.Research output: Contribution to journal › Article › peer-review
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CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
Jimenez, C. E., Russakovsky, O. & Narasimhan, K., 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 6392-6405 14 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations -
HIVE: Evaluating the Human Interpretability of Visual Explanations
Kim, S. S. Y., Meister, N., Ramaswamy, V. V., Fong, R. & Russakovsky, O., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 280-298 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13672 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Multi-query Video Retrieval
Wang, Z., Wu, Y., Narasimhan, K. & Russakovsky, O., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 233-249 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13674 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
3 Scopus citations