Olga Russakovsky

Olga Russakovsky

Princeton University

H-index: 33

North America-United States

About Olga Russakovsky

Olga Russakovsky, With an exceptional h-index of 33 and a recent h-index of 30 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Geode: a geographically diverse evaluation dataset for object recognition

Boundary guided learning-free semantic control with diffusion models

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

Humans, ai, and context: Understanding end-users’ trust in a real-world computer vision application

Unseen Image Synthesis with Diffusion Models

Gender artifacts in visual datasets

Overcoming bias in pretrained models by manipulating the finetuning dataset

Olga Russakovsky Information

University

Position

Assistant Professor

Citations(all)

48547

Citations(since 2020)

37469

Cited By

25846

hIndex(all)

33

hIndex(since 2020)

30

i10Index(all)

44

i10Index(since 2020)

40

Email

University Profile Page

Google Scholar

Olga Russakovsky Skills & Research Interests

Computer vision

Top articles of Olga Russakovsky

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2403.19669

Allison Chen

Ilia Sucholutsky

Olga Russakovsky

Thomas L Griffiths

2024/2/15

Geode: a geographically diverse evaluation dataset for object recognition

Advances in Neural Information Processing Systems

Vikram V Ramaswamy

Sing Yu Lin

Dora Zhao

Aaron Adcock

Laurens van der Maaten

...

2024/2/13

Boundary guided learning-free semantic control with diffusion models

Ye Zhu

Yu Wu

Zhiwei Deng

Olga Russakovsky

Yan Yan

2023/2/16

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

arXiv preprint arXiv:2303.15632

Vikram V Ramaswamy

Sunnie SY Kim

Ruth Fong

Olga Russakovsky

2023/3/27

Humans, ai, and context: Understanding end-users’ trust in a real-world computer vision application

Sunnie SY Kim

Elizabeth Anne Watkins

Olga Russakovsky

Ruth Fong

Andrés Monroy-Hernández

2023/6/12

Unseen Image Synthesis with Diffusion Models

arXiv preprint arXiv:2310.09213

Ye Zhu

Yu Wu

Zhiwei Deng

Olga Russakovsky

Yan Yan

2023/10/13

Gender artifacts in visual datasets

Nicole Meister

Dora Zhao

Angelina Wang

Vikram V Ramaswamy

Ruth Fong

...

2023

Overcoming bias in pretrained models by manipulating the finetuning dataset

arXiv preprint arXiv:2303.06167

Angelina Wang

Olga Russakovsky

2023/3/10

Art and the science of generative AI: A deeper dive

arXiv preprint arXiv:2306.04141

Ziv Epstein

Aaron Hertzmann

Laura Herman

Robert Mahari

Morgan R Frank

...

2023/6/7

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

arXiv preprint arXiv:2310.01755

William Yang

Byron Zhang

Olga Russakovsky

2023/10/3

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

Nobline Yoo

Olga Russakovsky

2023

ICON: Reliably Benchmarking Predictive Inequity in Object Detection

arXiv preprint arXiv:2306.04482

Sruthi Sudhakar

Viraj Prabhu

Olga Russakovsky

Judy Hoffman

2023/6/7

Multimodal dataset distillation for image-text retrieval

arXiv preprint arXiv:2308.07545

Xindi Wu

Zhiwei Deng

Olga Russakovsky

2023/8/15

Overwriting pretrained bias with finetuning data

Angelina Wang

Olga Russakovsky

2023

Learning actionness from action/background discrimination

Signal, Image and Video Processing

Ozge Yalcinkaya Simsek

Olga Russakovsky

Pinar Duygulu

2023/6

Discrete diffusion reward guidance methods for offline reinforcement learning

Matthew Coleman

Olga Russakovsky

Christine Allen-Blanchette

Ye Zhu

2023/8/2

DETER: Detecting Edited Regions for Deterring Generative Manipulations

arXiv preprint arXiv:2312.10539

Sai Wang

Ye Zhu

Ruoyu Wang

Amaya Dharmasiri

Olga Russakovsky

...

2023/12/16

Predicting word learning in children from the performance of computer vision systems

Proceedings of the Annual Meeting of the Cognitive Science Society

Sunayana Rane

Mira L Nencheva

Zeyu Wang

Casey Lew-Williams

Olga Russakovsky

...

2023

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

Sunnie SY Kim

Elizabeth Anne Watkins

Olga Russakovsky

Ruth Fong

Andrés Monroy-Hernández

2023/4/19

Art and the science of generative AI

Science

Ziv Epstein

Aaron Hertzmann

Investigators of Human Creativity

Memo Akten

Hany Farid

...

2023/6/16

See List of Professors in Olga Russakovsky University(Princeton University)

Co-Authors

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