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ORCIDOlga Russakovsky
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- affiliation: Princeton University, USA
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2020 – today
- 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)- [c33]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. ACL (1) 2022: 6392-6405 - [c32]Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky:
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. FAccT 2022: 336-349 - [c31]Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky:
A Study of Face Obfuscation in ImageNet. ICML 2022: 25313-25330 - [i37]Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. CoRR abs/2201.03639 (2022) - [i36]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. CoRR abs/2203.07613 (2022) - [i35]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) - [i34]Zhiwei Deng, Olga Russakovsky:
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. CoRR abs/2206.02916 (2022) - [i33]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) - [i32]Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
Gender Artifacts in Visual Datasets. CoRR abs/2206.09191 (2022) - [i31]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) - [i30]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) - [i29]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) - 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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