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ORCIDOlga Russakovsky
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- affiliation: Princeton University, USA
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2020 – today
- 2025
[e21]Ales Leonardis
, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15059, Springer 2025, ISBN 978-3-031-73231-7 [contents]- [e20]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15060, Springer 2025, ISBN 978-3-031-72626-2 [contents] - [e19]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15062, Springer 2025, ISBN 978-3-031-73234-8 [contents] - [e18]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15064, Springer 2025, ISBN 978-3-031-72657-6 [contents] - [e17]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15065, Springer 2025, ISBN 978-3-031-72666-8 [contents] - [e16]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15067, Springer 2025, ISBN 978-3-031-72672-9 [contents] - [e15]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVIII. Lecture Notes in Computer Science 15076, Springer 2025, ISBN 978-3-031-72648-4 [contents] - [e14]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXII. Lecture Notes in Computer Science 15080, Springer 2025, ISBN 978-3-031-72669-9 [contents] - [e13]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXV. Lecture Notes in Computer Science 15083, Springer 2025, ISBN 978-3-031-72697-2 [contents] - [e12]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIII. Lecture Notes in Computer Science 15091, Springer 2025, ISBN 978-3-031-73413-7 [contents] - [e11]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXV. Lecture Notes in Computer Science 15093, Springer 2025, ISBN 978-3-031-72760-3 [contents] - [e10]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVI. Lecture Notes in Computer Science 15094, Springer 2025, ISBN 978-3-031-72763-4 [contents] - [e9]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVIII. Lecture Notes in Computer Science 15096, Springer 2025, ISBN 978-3-031-72919-5 [contents] - [e8]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIX. Lecture Notes in Computer Science 15097, Springer 2025, ISBN 978-3-031-72932-4 [contents] - [e7]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLII. Lecture Notes in Computer Science 15100, Springer 2025, ISBN 978-3-031-72945-4 [contents] - [e6]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIII. Lecture Notes in Computer Science 15101, Springer 2025, ISBN 978-3-031-72774-0 [contents] - [e5]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIV. Lecture Notes in Computer Science 15102, Springer 2025, ISBN 978-3-031-72783-2 [contents] - [e4]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLVI. Lecture Notes in Computer Science 15104, Springer 2025, ISBN 978-3-031-72951-5 [contents] - [e3]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVII. Lecture Notes in Computer Science 15115, Springer 2025, ISBN 978-3-031-72997-3 [contents] - [e2]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXVIII. Lecture Notes in Computer Science 15136, Springer 2025, ISBN 978-3-031-73228-7 [contents] - [e1]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXII. Lecture Notes in Computer Science 15140, Springer 2025, ISBN 978-3-031-73006-1 [contents] - 2024
- [c49]William Yang, Byron Zhang, Olga Russakovsky:
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms. ICLR 2024 - [c48]William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky:
What is Dataset Distillation Learning? ICML 2024 - [i53]Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Thomas L. Griffiths:
Analyzing the Roles of Language and Vision in Learning from Limited Data. CoRR abs/2403.19669 (2024) - [i52]William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky:
What is Dataset Distillation Learning? CoRR abs/2406.04284 (2024) - [i51]Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora:
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. CoRR abs/2408.14339 (2024) - 2023
- [j5]Ozge Yalcinkaya Simsek, Olga Russakovsky, Pinar Duygulu:
Learning actionness from action/background discrimination. Signal Image Video Process. 17(4): 1599-1606 (2023) - [c47]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CHI 2023: 250:1-250:17 - [c46]Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Tom Griffiths:
Predicting Word Learning in Children from the Performance of Computer Vision Systems. CogSci 2023 - [c45]Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky:
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability. CVPR 2023: 10932-10941 - [c44]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. FAccT 2023: 77-88 - [c43]Angelina Wang, Olga Russakovsky:
Overwriting Pretrained Bias with Finetuning Data. ICCV 2023: 3934-3945 - [c42]Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
Gender Artifacts in Visual Datasets. ICCV 2023: 4814-4825 - [c41]Nobline Yoo, Olga Russakovsky:
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning. ICCV (Workshops) 2023: 3263-3272 - [c40]Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky:
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition. NeurIPS 2023 - [c39]Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan:
Boundary Guided Learning-Free Semantic Control with Diffusion Models. NeurIPS 2023 - [i50]Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky:
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset. CoRR abs/2301.02560 (2023) - [i49]Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan:
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models. CoRR abs/2302.08357 (2023) - [i48]Angelina Wang, Olga Russakovsky:
Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset. CoRR abs/2303.06167 (2023) - [i47]Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky:
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs. CoRR abs/2303.15632 (2023) - [i46]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. CoRR abs/2305.08598 (2023) - [i45]Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky:
Art and the science of generative AI: A deeper dive. CoRR abs/2306.04141 (2023) - [i44]Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman:
ICON2: Reliably Benchmarking Predictive Inequity in Object Detection. CoRR abs/2306.04482 (2023) - [i43]Xindi Wu, Zhiwei Deng, Olga Russakovsky:
Multimodal Dataset Distillation for Image-Text Retrieval. CoRR abs/2308.07545 (2023) - [i42]William Yang, Byron Zhang, Olga Russakovsky:
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms. CoRR abs/2310.01755 (2023) - [i41]Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan:
Unseen Image Synthesis with Diffusion Models. CoRR abs/2310.09213 (2023) - [i40]Nobline Yoo, Olga Russakovsky:
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning. CoRR abs/2311.02815 (2023) - [i39]Sai Wang, Ye Zhu, Ruoyu Wang, Amaya Dharmasiri, Olga Russakovsky, Yu Wu:
DETER: Detecting Edited Regions for Deterring Generative Manipulations. CoRR abs/2312.10539 (2023) - 2022
- [j4]Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky:
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. Int. J. Comput. Vis. 130(7): 1790-1810 (2022) - [c38]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. ACL (1) 2022: 6392-6405 - [c37]Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. ECCV (14) 2022: 233-249 - [c36]Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
HIVE: Evaluating the Human Interpretability of Visual Explanations. ECCV (12) 2022: 280-298 - [c35]Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei:
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding. ECCV (35) 2022: 546-562 - [c34]Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky:
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. FAccT 2022: 336-349 - [c33]Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky:
A Study of Face Obfuscation in ImageNet. ICML 2022: 25313-25330 - [c32]Jihoon Chung, Yu Wu, Olga Russakovsky:
Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation. NeurIPS 2022 - [c31]Zhiwei Deng, Olga Russakovsky:
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. NeurIPS 2022 - [i38]Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. CoRR abs/2201.03639 (2022) - [i37]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. CoRR abs/2203.07613 (2022) - [i36]Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky:
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. CoRR abs/2205.04610 (2022) - [i35]Zhiwei Deng, Olga Russakovsky:
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. CoRR abs/2206.02916 (2022) - [i34]Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky:
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features. CoRR abs/2206.07690 (2022) - [i33]Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
Gender Artifacts in Visual Datasets. CoRR abs/2206.09191 (2022) - [i32]Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky:
Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability. CoRR abs/2207.09615 (2022) - [i31]Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Thomas L. Griffiths:
Predicting Word Learning in Children from the Performance of Computer Vision Systems. CoRR abs/2207.09847 (2022) - [i30]Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei:
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding. CoRR abs/2207.13325 (2022) - [i29]Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández:
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CoRR abs/2210.03735 (2022) - 2021
- [c30]Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky:
Fair Attribute Classification Through Latent Space De-Biasing. CVPR 2021: 9301-9310 - [c29]Dora Zhao, Angelina Wang, Olga Russakovsky:
Understanding and Evaluating Racial Biases in Image Captioning. ICCV 2021: 14810-14820 - [c28]Angelina Wang, Olga Russakovsky:
Directional Bias Amplification. ICML 2021: 10882-10893 - [i28]Angelina Wang, Olga Russakovsky:
Directional Bias Amplification. CoRR abs/2102.12594 (2021) - [i27]Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky:
A Study of Face Obfuscation in ImageNet. CoRR abs/2103.06191 (2021) - [i26]Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky:
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR abs/2104.13582 (2021) - [i25]Dora Zhao, Angelina Wang, Olga Russakovsky:
Understanding and Evaluating Racial Biases in Image Captioning. CoRR abs/2106.08503 (2021) - [i24]Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
HIVE: Evaluating the Human Interpretability of Visual Explanations. CoRR abs/2112.03184 (2021) - 2020
- [c27]Hei Law, Yun Teng, Olga Russakovsky, Jia Deng:
CornerNet-Lite: Efficient Keypoint based Object Detection. BMVC 2020 - [c26]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops 2020: 4000-4004 - [c25]Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky:
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. CVPR 2020: 8916-8925 - [c24]Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. ECCV (7) 2020: 629-644 - [c23]Angelina Wang, Arvind Narayanan, Olga Russakovsky:
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. ECCV (3) 2020: 733-751 - [c22]Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky:
Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. FAT* 2020: 547-558 - [c21]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS 2020 - [i23]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR abs/2003.14269 (2020) - [i22]Angelina Wang, Arvind Narayanan, Olga Russakovsky:
ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. CoRR abs/2004.07999 (2020) - [i21]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR abs/2007.05655 (2020) - [i20]Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. CoRR abs/2009.03949 (2020) - [i19]Arjun Mani, Will Hinthorn, Nobline Yoo, Olga Russakovsky:
Point and Ask: Incorporating Pointing into Visual Question Answering. CoRR abs/2011.13681 (2020) - [i18]Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky:
Fair Attribute Classification through Latent Space De-biasing. CoRR abs/2012.01469 (2020)
2010 – 2019
- 2019
- [c20]Kaiyu Yang, Olga Russakovsky, Jia Deng:
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. ICCV 2019: 2051-2060 - [c19]Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky:
Human Uncertainty Makes Classification More Robust. ICCV 2019: 9616-9625 - [i17]Hei Law, Yun Teng, Olga Russakovsky, Jia Deng:
CornerNet-Lite: Efficient Keypoint Based Object Detection. CoRR abs/1904.08900 (2019) - [i16]Kaiyu Yang, Olga Russakovsky, Jia Deng:
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. CoRR abs/1908.02660 (2019) - [i15]Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky:
Human uncertainty makes classification more robust. CoRR abs/1908.07086 (2019) - [i14]Zeyu Wang, Klint Qinami, Yannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky:
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. CoRR abs/1911.11834 (2019) - [i13]Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky:
Compositional Temporal Visual Grounding of Natural Language Event Descriptions. CoRR abs/1912.02256 (2019) - [i12]Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky:
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. CoRR abs/1912.07726 (2019) - 2018
- [j3]Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei:
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. Int. J. Comput. Vis. 126(2-4): 375-389 (2018) - [c18]Jingyan Wang, Olga Russakovsky, Deva Ramanan:
The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement. WACV 2018: 1794-1803 - 2017
- [c17]Achal Dave, Olga Russakovsky, Deva Ramanan:
Predictive-Corrective Networks for Action Detection. CVPR 2017: 2067-2076 - [c16]Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. CVPR 2017: 6422-6431 - [c15]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CVPR 2017: 7455-7463 - [c14]Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta:
What Actions are Needed for Understanding Human Actions in Videos? ICCV 2017: 2156-2165 - [i11]Achal Dave, Olga Russakovsky, Deva Ramanan:
Predictive-Corrective Networks for Action Detection. CoRR abs/1704.03615 (2017) - [i10]Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. CoRR abs/1704.03895 (2017) - [i9]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CoRR abs/1706.02884 (2017) - [i8]Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta:
What Actions are Needed for Understanding Human Actions in Videos? CoRR abs/1708.02696 (2017) - 2016
- [j2]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. 10(3): 177-243 (2016) - [c13]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-End Learning of Action Detection from Frame Glimpses in Videos. CVPR 2016: 2678-2687 - [c12]Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei:
What's the Point: Semantic Segmentation with Point Supervision. ECCV (7) 2016: 549-565 - [c11]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. HCOMP 2016: 219-228 - [c10]Marie E. Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Richard Sommer, Li Fei-Fei:
Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls. SIGCSE 2016: 303-308 - [i7]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. CoRR abs/1607.07429 (2016) - [i6]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. CoRR abs/1611.02145 (2016) - 2015
- [b1]Olga Russakovsky:
Scaling up object detection. Stanford University, USA, 2015 - [j1]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [c9]Olga Russakovsky, Li-Jia Li, Li Fei-Fei:
Best of both worlds: Human-machine collaboration for object annotation. CVPR 2015: 2121-2131 - [c8]Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari:
Joint calibration of Ensemble of Exemplar SVMs. CVPR 2015: 3955-3963 - [i5]Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari:
Joint calibration of Ensemble of Exemplar SVMs. CoRR abs/1503.00783 (2015) - [i4]Olga Russakovsky, Amy L. Bearman, Vittorio Ferrari, Li Fei-Fei:
What's the point: Semantic segmentation with point supervision. CoRR abs/1506.02106 (2015) - [i3]Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei:
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. CoRR abs/1507.05738 (2015) - [i2]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-end Learning of Action Detection from Frame Glimpses in Videos. CoRR abs/1511.06984 (2015) - 2014
- [c7]Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
Scalable multi-label annotation. CHI 2014: 3099-3102 - [i1]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - 2013
- [c6]Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei:
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? ICCV 2013: 2064-2071 - 2012
- [c5]Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei:
Object-Centric Spatial Pooling for Image Classification. ECCV (2) 2012: 1-15 - 2010
- [c4]Olga Russakovsky, Andrew Y. Ng:
A Steiner tree approach to efficient object detection. CVPR 2010: 1070-1077 - [c3]Olga Russakovsky, Li Fei-Fei:
Attribute Learning in Large-Scale Datasets. ECCV Workshops (1) 2010: 1-14 - [c2]Ellen Klingbeil, Blake Carpenter, Olga Russakovsky, Andrew Y. Ng:
Autonomous operation of novel elevators for robot navigation. ICRA 2010: 751-758
2000 – 2009
- 2006
- [c1]Samuel S. Gross, Olga Russakovsky, Chuong B. Do, Serafim Batzoglou:
Training Conditional Random Fields for Maximum Labelwise Accuracy. NIPS 2006: 529-536
Coauthor Index
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