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Dive into the research topics where Vikram Ramaswamy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Gender Artifacts in Visual Datasets
Meister, N., Zhao, D., Wang, A., Ramaswamy, V. V., Fong, R. & Russakovsky, O., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. Institute of Electrical and Electronics Engineers Inc., p. 4814-4825 12 p. (Proceedings of the IEEE International Conference on Computer Vision).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access11 Link opens in a new tab Scopus citations -
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
Ramaswamy, V. V., Lin, S. Y., Zhao, D., Adcock, A. B., van der Maaten, L., Ghadiyaram, D. & Russakovsky, O., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
19 Link opens in a new tab Scopus citations -
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
Ramaswamy, V. V., Kim, S. S. Y., Fong, R. & Russakovsky, O., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 10932-10941 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
38 Link opens in a new tab 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
Open Access72 Link opens in a new tab Scopus citations -
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
82 Link opens in a new tab Scopus citations