Olga Russakovsky

According to our database, Olga Russakovsky authored at least 70 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Analyzing the Roles of Language and Vision in Learning from Limited Data.

Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Thomas L. Griffiths

CoRR, 2024

2023

Learning actionness from action/background discrimination.

Ozge Yalcinkaya Simsek, Olga Russakovsky, Pinar Duygulu

Signal Image Video Process., June, 2023

DETER: Detecting Edited Regions for Deterring Generative Manipulations.

Sai Wang, Ye Zhu, Ruoyu Wang, Amaya Dharmasiri, Olga Russakovsky, Yu Wu

CoRR, 2023

Unseen Image Synthesis with Diffusion Models.

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

CoRR, 2023

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms.

William Yang, Byron Zhang, Olga Russakovsky

CoRR, 2023

Multimodal Dataset Distillation for Image-Text Retrieval.

Xindi Wu, Zhiwei Deng, Olga Russakovsky

CoRR, 2023

ICON²: Reliably Benchmarking Predictive Inequity in Object Detection.

Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman

CoRR, 2023

Art and the science of generative AI: A deeper dive.

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

CoRR, 2023

UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs.

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky

CoRR, 2023

Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset.

Angelina Wang, Olga Russakovsky

CoRR, 2023

Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models.

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

CoRR, 2023

Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset.

Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky

CoRR, 2023

Boundary Guided Learning-Free Semantic Control with Diffusion Models.

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition.

Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning.

Nobline Yoo, Olga Russakovsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Overwriting Pretrained Bias with Finetuning Data.

Angelina Wang, Olga Russakovsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Gender Artifacts in Visual Datasets.

Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application.

Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability.

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Predicting Word Learning in Children from the Performance of Computer Vision Systems.

Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Tom Griffiths

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction.

Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets.

Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky

Int. J. Comput. Vis., 2022

Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability.

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky

CoRR, 2022

ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features.

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky

CoRR, 2022

Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks.

Zhiwei Deng, Olga Russakovsky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation.

Jihoon Chung, Yu Wu, Olga Russakovsky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Study of Face Obfuscation in ImageNet.

Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky

Proceedings of the International Conference on Machine Learning, 2022

Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation.

Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Multi-query Video Retrieval.

Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky

Proceedings of the Computer Vision - ECCV 2022, 2022

SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding.

Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

HIVE: Evaluating the Human Interpretability of Visual Explanations.

Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

Proceedings of the Computer Vision - ECCV 2022, 2022

CARETS: A Consistency And Robustness Evaluative Test Suite for VQA.

Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

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

Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky

CoRR, 2021

Directional Bias Amplification.

Angelina Wang, Olga Russakovsky

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Evaluating Racial Biases in Image Captioning.

Dora Zhao, Angelina Wang, Olga Russakovsky

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fair Attribute Classification Through Latent Space De-Biasing.

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Point and Ask: Incorporating Pointing into Visual Question Answering.

Arjun Mani, Will Hinthorn, Nobline Yoo, Olga Russakovsky

CoRR, 2020

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

Angelina Wang, Arvind Narayanan, Olga Russakovsky

CoRR, 2020

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

Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy.

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

Proceedings of the FAT* '20: Conference on Fairness, 2020

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets.

Angelina Wang, Arvind Narayanan, Olga Russakovsky

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Unique and Informative Captioning of Images.

Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation.

Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CornerNet-Lite: Efficient Keypoint based Object Detection.

Hei Law, Yun Teng, Olga Russakovsky, Jia Deng

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Compositional Temporal Visual Grounding of Natural Language Event Descriptions.

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

CoRR, 2019

SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition.

Kaiyu Yang, Olga Russakovsky, Jia Deng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Human Uncertainty Makes Classification More Robust.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

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

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

Int. J. Comput. Vis., 2018

The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement.

Jingyan Wang, Olga Russakovsky, Deva Ramanan

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

What Actions are Needed for Understanding Human Actions in Videos?

Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning to Learn from Noisy Web Videos.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Siddha Ganju, Olga Russakovsky, Abhinav Gupta

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Predictive-Corrective Networks for Action Detection.

Achal Dave, Olga Russakovsky, Deva Ramanan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Crowdsourcing in Computer Vision.

Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman

Found. Trends Comput. Graph. Vis., 2016

Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls.

Marie E. Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Richard Sommer, Li Fei-Fei

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Much Ado About Time: Exhaustive Annotation of Temporal Data.

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

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

What's the Point: Semantic Segmentation with Point Supervision.

Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Scaling up object detection.

Olga Russakovsky

PhD thesis, 2015

ImageNet Large Scale Visual Recognition Challenge.

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

Int. J. Comput. Vis., 2015

Best of both worlds: Human-machine collaboration for object annotation.

Olga Russakovsky, Li-Jia Li, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Joint calibration of Ensemble of Exemplar SVMs.

Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Scalable multi-label annotation.

Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?

Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Object-Centric Spatial Pooling for Image Classification.

Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2012, 2012

2010

Autonomous operation of novel elevators for robot navigation.

Ellen Klingbeil, Blake Carpenter, Olga Russakovsky, Andrew Y. Ng

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Attribute Learning in Large-Scale Datasets.

Olga Russakovsky, Li Fei-Fei

Proceedings of the Trends and Topics in Computer Vision, 2010

A Steiner tree approach to efficient object detection.

Olga Russakovsky, Andrew Y. Ng

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2006

Training Conditional Random Fields for Maximum Labelwise Accuracy.

Samuel S. Gross, Olga Russakovsky, Chuong B. Do, Serafim Batzoglou

Proceedings of the Advances in Neural Information Processing Systems 19, 2006