Olga Russakovsky

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Princeton University ∙ Carnegie Mellon University ∙ Stanford University

Assistant Professor Department of Computer Science at Princeton University

Understanding and Evaluating Racial Biases in Image Captioning

Image captioning is an important task for benchmarking visual reasoning ...
06/16/2021 ∙ by Dora Zhao, et al. ∙ 19 ∙ share

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[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

Singh et al. (2020) point out the dangers of contextual bias in visual r...
04/28/2021 ∙ by Sunnie S. Y. Kim, et al. ∙ 12 ∙ share

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A Study of Face Obfuscation in ImageNet

Face obfuscation (blurring, mosaicing, etc.) has been shown to be effect...
03/10/2021 ∙ by Kaiyu Yang, et al. ∙ 8 ∙ share

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Directional Bias Amplification

Mitigating bias in machine learning systems requires refining our unders...
02/24/2021 ∙ by Angelina Wang, et al. ∙ 0 ∙ share

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Fair Attribute Classification through Latent Space De-biasing

Fairness in visual recognition is becoming a prominent and critical topi...
12/02/2020 ∙ by Vikram V. Ramaswamy, et al. ∙ 3 ∙ share

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Point and Ask: Incorporating Pointing into Visual Question Answering

Visual Question Answering (VQA) has become one of the key benchmarks of ...
11/27/2020 ∙ by Arjun Mani, et al. ∙ 0 ∙ share

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Towards Unique and Informative Captioning of Images

Despite considerable progress, state of the art image captioning models ...
09/08/2020 ∙ by Zeyu Wang, et al. ∙ 7 ∙ share

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

The ability to perform effective planning is crucial for building an ins...
07/11/2020 ∙ by Zhiwei Deng, et al. ∙ 11 ∙ share

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

Machine learning models are known to perpetuate the biases present in th...
04/16/2020 ∙ by Angelina Wang, et al. ∙ 0 ∙ share

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Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation

In the Vision-and-Language Navigation (VLN) task, an agent with egocentr...
03/31/2020 ∙ by Felix Yu, et al. ∙ 0 ∙ share

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Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy

Computer vision technology is being used by many but remains representat...
12/16/2019 ∙ by Kaiyu Yang, et al. ∙ 9 ∙ share

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Compositional Temporal Visual Grounding of Natural Language Event Descriptions

Temporal grounding entails establishing a correspondence between natural...
12/04/2019 ∙ by Jonathan C. Stroud, et al. ∙ 6 ∙ share

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Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

Computer vision models learn to perform a task by capturing relevant sta...
11/26/2019 ∙ by Zeyu Wang, et al. ∙ 0 ∙ share

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Human uncertainty makes classification more robust

The classification performance of deep neural networks has begun to asym...
08/19/2019 ∙ by Joshua C. Peterson, et al. ∙ 0 ∙ share

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SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

Understanding the spatial relations between objects in images is a surpr...
08/07/2019 ∙ by Kaiyu Yang, et al. ∙ 1 ∙ share

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CornerNet-Lite: Efficient Keypoint Based Object Detection

Keypoint-based methods are a relatively new paradigm in object detection...
04/18/2019 ∙ by Hei Law, et al. ∙ 20 ∙ share

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What Actions are Needed for Understanding Human Actions in Videos?

What is the right way to reason about human activities? What directions ...
08/09/2017 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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Learning to Learn from Noisy Web Videos

Understanding the simultaneously very diverse and intricately fine-grain...
06/09/2017 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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What's in a Question: Using Visual Questions as a Form of Supervision

Collecting fully annotated image datasets is challenging and expensive. ...
04/12/2017 ∙ by Siddha Ganju, et al. ∙ 0 ∙ share

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Predictive-Corrective Networks for Action Detection

While deep feature learning has revolutionized techniques for static-ima...
04/12/2017 ∙ by Achal Dave, et al. ∙ 0 ∙ share

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Crowdsourcing in Computer Vision

Computer vision systems require large amounts of manually annotated data...
11/07/2016 ∙ by Adriana Kovashka, et al. ∙ 0 ∙ share

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Much Ado About Time: Exhaustive Annotation of Temporal Data

Large-scale annotated datasets allow AI systems to learn from and build ...
07/25/2016 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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

In this work we introduce a fully end-to-end approach for action detecti...
11/22/2015 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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

Every moment counts in action recognition. A comprehensive understanding...
07/21/2015 ∙ by Serena Yeung, et al. ∙ 0 ∙ share

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What's the Point: Semantic Segmentation with Point Supervision

The semantic image segmentation task presents a trade-off between test t...
06/06/2015 ∙ by Amy Bearman, et al. ∙ 0 ∙ share

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Joint calibration of Ensemble of Exemplar SVMs

We present a method for calibrating the Ensemble of Exemplar SVMs model....
03/02/2015 ∙ by Davide Modolo, et al. ∙ 0 ∙ share

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ImageNet Large Scale Visual Recognition Challenge

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in ...
09/01/2014 ∙ by Olga Russakovsky, et al. ∙ 0 ∙ share

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Olga Russakovsky

Featured Co-authors

Li Fei-Fei

Hao Su

Abhinav Gupta

Kristen Grauman

Ali Farhadi

Deva Ramanan

Vittorio Ferrari

Thomas L. Griffiths

Greg Mori

Jia Deng

Rada Mihalcea

Understanding and Evaluating Racial Biases in Image Captioning

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

A Study of Face Obfuscation in ImageNet

Directional Bias Amplification

Fair Attribute Classification through Latent Space De-biasing

Point and Ask: Incorporating Pointing into Visual Question Answering

Towards Unique and Informative Captioning of Images

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

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

Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation

Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy

Compositional Temporal Visual Grounding of Natural Language Event Descriptions

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

Human uncertainty makes classification more robust

SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

CornerNet-Lite: Efficient Keypoint Based Object Detection

What Actions are Needed for Understanding Human Actions in Videos?

Learning to Learn from Noisy Web Videos

What's in a Question: Using Visual Questions as a Form of Supervision

Predictive-Corrective Networks for Action Detection

Crowdsourcing in Computer Vision

Much Ado About Time: Exhaustive Annotation of Temporal Data

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

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

What's the Point: Semantic Segmentation with Point Supervision

Joint calibration of Ensemble of Exemplar SVMs

ImageNet Large Scale Visual Recognition Challenge