Projects per year
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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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Collaborations and top research areas from the last five years
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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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Art and the science of generative AI
the Investigators of Human Creativity, Jun 16 2023, In: Science. 380, 6650, p. 1110-1111 2 p.Research output: Contribution to journal › Article › peer-review
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"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Kim, S. S. Y., Watkins, E. A., Russakovsky, O., Fong, R. & Monroy-Hernández, A., Apr 19 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 250. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access2 Scopus citations -
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application
Kim, S. S. Y., Watkins, E. A., Russakovsky, O., Fong, R. & Monroy-Hernández, A., Jun 12 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, p. 77-88 12 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
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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A Study of Face Obfuscation in ImageNet
Yang, K., Yau, J., Fei-Fei, L., Deng, J. & Russakovsky, O., 2022, In: Proceedings of Machine Learning Research. 162, p. 25313-25330 18 p.Research output: Contribution to journal › Conference article › peer-review
10 Scopus citations