O. Russakovsky

Most-cited papers

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova +3 more
2019Computer Vision and Pattern Recognition435 citations Open access
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Human Uncertainty Makes Classification More Robust
Joshua C. Peterson, R. Battleday, T. Griffiths, O. Russakovsky
2019IEEE International Conference on Computer Vision420 citations Open access
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Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhi-Wei Deng, O. Russakovsky
2022Neural Information Processing Systems140 citations Open access
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Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhi-Wei Deng, Karthik Narasimhan, O. Russakovsky
2020Neural Information Processing Systems111 citations
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D3: Scaling Up Deepfake Detection by Learning from Discrepancy
Yong-Qi Yang, Zhihao Qian, Ye Zhu, O. Russakovsky +1 more
2024arXiv.org77 citations
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ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
Xin-Di Wu, Ding-Li Yu, Yangsibo Huang, O. Russakovsky +1 more
2024Neural Information Processing Systems74 citations
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Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting
Asher Hancock, Xin-Di Wu, Li-Han Zha, O. Russakovsky +1 more
2025arXiv.org70 citations
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Boundary Guided Learning-Free Semantic Control with Diffusion Models
Ye Zhu, Yuehua Wu, Zhiwei Deng, O. Russakovsky +1 more
2023Neural Information Processing Systems41 citations Open access
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Towards Unique and Informative Captioning of Images
Zeyu Wang, Berthy T. Feng, Karthik Narasimhan, O. Russakovsky
2020European Conference on Computer Vision39 citations Open access
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ICONS: Influence Consensus for Vision-Language Data Selection
Xin-Di Wu, Mengzhou Xia, Rulin Shao, Zhiwei Deng +2 more
2024arXiv.org36 citations
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SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding
Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong +4 more
2022European Conference on Computer Vision27 citations Open access
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Multi-query Video Retrieval
Zeyu Wang, Yu Wu, Karthik Narasimhan, O. Russakovsky
2022European Conference on Computer Vision25 citations Open access
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Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation
Jihoon Chung, Yuehua Wu, O. Russakovsky
2022Neural Information Processing Systems24 citations
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Vision-Language Dataset Distillation
Xindi Wu, Byron Zhang, Zhiwei Deng, O. Russakovsky
2023Trans. Mach. Learn. Res.21 citations
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Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
Felix Yu, Zhi-Wei Deng, Karthik Narasimhan, O. Russakovsky
20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)19 citations Open access
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The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation
Ruoyu Wang, Hua-Yang Huang, Ye Zhu, O. Russakovsky +1 more
2024IEEE International Conference on Computer Vision16 citations Open access
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What is Dataset Distillation Learning?
William Yang, Ye Zhu, Zhiwei Deng, O. Russakovsky
2024International Conference on Machine Learning16 citations
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Multimodal Dataset Distillation for Image-Text Retrieval
Xin-Di Wu, Zhiwei Deng, O. Russakovsky
2023arXiv.org16 citations Open access
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CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
Carlos E. Jimenez, O. Russakovsky, Karthik Narasimhan
2022Annual Meeting of the Association for Computational Linguistics15 citations Open access
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Addressable Memory for Video World Models
Xin-Di Wu, Sven Elflein, James Lucas, O. Russakovsky +4 more
202614 citations
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Unifying Specialized Visual Encoders for Video Language Models
Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles +2 more
2025International Conference on Machine Learning11 citations
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Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, O. Russakovsky +1 more
2023arXiv.org7 citations Open access
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Analyzing the Roles of Language and Vision in Learning from Limited Data
Allison Chen, Ilia Sucholutsky, O. Russakovsky, Thomas L. Griffiths
2024Annual Meeting of the Cognitive Science Society6 citations
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D3: Scaling Up Deepfake Detection by Learning from Discrepancy
Yong-Qi Yang, Zhihao Qian, Ye Zhu, O. Russakovsky +1 more
2025Computer Vision and Pattern Recognition5 citations
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Motion Attribution for Video Generation
Xin-Di Wu, Despoina Paschalidou, Jun Gao, Antonio Torralba +4 more
2026arXiv.org4 citations
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SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation
Yuhang Pei, Ruoyu Wang, Yong-Qi Yang, Ye Zhu +2 more
2024arXiv.org4 citations
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DETER: Detecting Edited Regions for Deterring Generative Manipulations
Sai Wang, Ye Zhu, Ruoyu Wang, Amaya Dharmasiri +2 more
2023arXiv.org4 citations
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Discrete Diffusion Reward Guidance Methods for Offline Reinforcement Learning
M. Coleman, O. Russakovsky, Christine Allen-Blanchette, Ye Zhu
20234 citations
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Predicting Word Learning in Children from the Performance of Computer Vision Systems
Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams +2 more
2022Annual Meeting of the Cognitive Science Society3 citations Open access
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Seeing Beyond the Scene: Analyzing and Mitigating Background Bias in Action Recognition
Ellie X. Zhou, Jihoon Chung, O. Russakovsky
2025arXiv.org2 citations
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Reinforced Fast Weights with Next-Sequence Prediction
H. Hwang, Xin-Di Wu, Sanghyuk Chun, O. Russakovsky
2026arXiv.org1 citations
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Personalized Generative Models for Contextual Debiasing
Xin-Ran Liang, E. Tureci, Prachi Sinha, Ye Zhu +2 more
2026arXiv.org1 citations
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GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation
Ye Zhu, K. Newman, Johannes F. Lutzeyer, Adriana Romero-Soriano +2 more
2026arXiv.org1 citations
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Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification
William Yang, Xin-Di Wu, Zhiwei Deng, E. Tureci +1 more
2025arXiv.org1 citations
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Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
Ye Zhu, Duo Xu, Zhiwei Deng, Jonathan C. Tan +1 more
2025Neural Information Processing Systems1 citations
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A Sampling-Based Domain Generalization Study with Diffusion Generative Models
Ye Zhu, Yu Wu, Duo Xu, Zhiwei Deng +2 more
20231 citations
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Proceedings of the Second Workshop on Advances in Language and Vision Research
Er-Guo Wang, Santa Cruz, Rong-Hang Hu, Drew A. Hudson +408 more
20211 citations Open access
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Depth as Time in One-Step Generative Models
Arnold Caleb Asiimwe, William Yang, Sanghyuk Chun, E. Tureci +1 more
20260 citations
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In-Context Learning Can Help Vision-Language Models Overcome Training Priors
Kun Wang, Xin-Di Wu, Sanghyuk Chun, O. Russakovsky +1 more
20260 citations
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Image enhancement: A necessity for effective underwater object detection?
Lujun Zhai, Ye Zhu, O. Russakovsky, Su-Xia Cui
2026Engineering applications of artificial intelligence0 citations
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Robustness of Internal Signals for Hallucination Detection in Vision-Language Models
Allison Chen, William Yang, Salma Abdel Magid, Jonathan Williams +2 more
20260 citations
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Visual Compositional Tuning
Xin-Di Wu, H. Hwang, Polina Kirichenko, E. Tureci +1 more
20250 citations
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Learning a Doubly-Exponential Number of Concepts From Few Examples
Ilia Sucholutsky, Bonan Zhao, H. Hwang, Allison Chen +2 more
2025Annual Meeting of the Cognitive Science Society0 citations
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Learning actionness from action/background discrimination
Ozge Yalcinkaya Simsek, O. Russakovsky, Pinar Duygulu
2022Signal, Image and Video Processing0 citations
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Proceedings of the Annual Meeting of the Cognitive Science Society
Uc Merced, Ilia Sucholutsky, Bonan Zhao, H. Hwang +3 more
0 citations
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Reducing Object Hallucination in Visual Question Answering
Tanushree Banerjee, O. Russakovsky
0 citations
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