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Olga Russakovsky
Fair Attribute Classification through Latent Space De-biasing

Dec 04, 2020
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky

* Code can be found at https://github.com/princetonvisualai/gan-debiasing 
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Point and Ask: Incorporating Pointing into Visual Question Answering

Nov 27, 2020
Arjun Mani, Will Hinthorn, Nobline Yoo, Olga Russakovsky


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Towards Unique and Informative Captioning of Images

Sep 08, 2020
Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky

* ECCV 2020 
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Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation

Jul 11, 2020
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky


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ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets

Apr 16, 2020
Angelina Wang, Arvind Narayanan, Olga Russakovsky

* Tool available at: https://github.com/princetonvisualai/vibe-tool 
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Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation

Mar 31, 2020
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

* 4 page short paper 
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Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy

Dec 16, 2019
Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky

* Accepted to FAT* 2020 
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Compositional Temporal Visual Grounding of Natural Language Event Descriptions

Dec 04, 2019
Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky

* Project page: jonathancstroud.com/ctg 
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Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

Nov 26, 2019
Zeyu Wang, Klint Qinami, Yannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky


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SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

Aug 29, 2019
Kaiyu Yang, Olga Russakovsky, Jia Deng

* Accepted to ICCV 2019 
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Human uncertainty makes classification more robust

Aug 19, 2019
Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky

* In Proceedings of the 2019 IEEE International Conference on Computer Vision (ICCV) 
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CornerNet-Lite: Efficient Keypoint Based Object Detection

Apr 18, 2019
Hei Law, Yun Teng, Olga Russakovsky, Jia Deng

* Code available at https://github.com/princeton-vl/CornerNet-Lite 
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Predictive-Corrective Networks for Action Detection

Dec 12, 2017
Achal Dave, Olga Russakovsky, Deva Ramanan

* Accepted to CVPR 2017. [v2]: Updated Multi-LSTM mAP on MultiTHUMOS (should be 29.7, was initially reported as 29.6). [Project URL]: http://www.achaldave.com/projects/predictive-corrective/ 
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What Actions are Needed for Understanding Human Actions in Videos?

Aug 09, 2017
Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta

* ICCV2017 
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Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Jun 09, 2017
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei

* To appear in IJCV 
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Learning to Learn from Noisy Web Videos

Jun 09, 2017
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

* To appear in CVPR 2017 
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What's in a Question: Using Visual Questions as a Form of Supervision

Apr 12, 2017
Siddha Ganju, Olga Russakovsky, Abhinav Gupta

* CVPR 2017 Spotlight paper and supplementary 
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End-to-end Learning of Action Detection from Frame Glimpses in Videos

Mar 13, 2017
Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

* Update to version in CVPR 2016 proceedings 
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Crowdsourcing in Computer Vision

Nov 07, 2016
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman

* A 69-page meta review of the field, Foundations and Trends in Computer Graphics and Vision, 2016 
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Much Ado About Time: Exhaustive Annotation of Temporal Data

Oct 03, 2016
Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta

* HCOMP 2016 Camera Ready 
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What's the Point: Semantic Segmentation with Point Supervision

Jul 23, 2016
Amy Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei

* ECCV (2016) submission 
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Joint calibration of Ensemble of Exemplar SVMs

Apr 24, 2015
Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari


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ImageNet Large Scale Visual Recognition Challenge

Jan 30, 2015
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, Li Fei-Fei

* 43 pages, 16 figures. v3 includes additional comparisons with PASCAL VOC (per-category comparisons in Table 3, distribution of localization difficulty in Fig 16), a list of queries used for obtaining object detection images (Appendix C), and some additional references 
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