Russakovsky, Olga

ImageNet Large Scale Visual Recognition Challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 39,380

Art and the science of generative AI

Epstein, Z., Hertzmann, A., the Investigators of Human Creativity, Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., et al. (2023) · Science

Art, Technology, and CultureTechnology's Impact on Media

Cited by 788

End-to-End Learning of Action Detection from Frame Glimpses in Videos

Yeung, S., Russakovsky, O., Mori, G., & Fei-Fei, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 585

ImageNet Large Scale Visual Recognition Challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 567

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

Yang, K., Qinami, K., Fei-Fei, L., Deng, J., & Russakovsky, O. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIAdvanced Neural Network Applications

Cited by 254

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. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 233

Human Uncertainty Makes Classification More Robust

Peterson, J., Battleday, R., Griffiths, T., & Russakovsky, O. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 196

CornerNet-Lite: Efficient Keypoint Based Object Detection

Law, H., Teng, Y., Russakovsky, O., & Deng, J. (2019) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 172

HIVE: Evaluating the Human Interpretability of Visual Explanations

Kim, S. S. Y., Meister, N., Ramaswamy, V. V., Fong, R., & Russakovsky, O. (2022) · Lecture Notes in Computer Science

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 72

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Kim, S. S. Y., Vaughan, J. W., Liao, Q. V., Lombrozo, T., & Russakovsky, O. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Information Retrieval and Search Behavior

Cited by 58

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. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 37

Directional Bias Amplification

Wang, A., & Russakovsky, O. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 30

Art and the science of generative AI: A deeper dive

Epstein, Z., Hertzmann, A., Herman, L., Mahari, R., Frank, M. R., Groh, M., Schroeder, H., Smith, A., Akten, M., Fjeld, J., et al. (2023) · arXiv

Art, Technology, and CultureEthics and Social Impacts of AI

Cited by 21

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

Chen, A., Kim, S. S. Y., Franyutti, A., Dharmasiri, A., Mukherjee, K., Russakovsky, O., & Fan, J. E. (2025) · arXiv

Social Robot Interaction and HRIEthics and Social Impacts of AI

Cited by 2