Olga Russakovsky

papers

1,663

total citations

papers (20)

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

CVPR 2020arXiv

413

citations

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

NEURIPS 2022arXiv

120

citations

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

NEURIPS 2020arXiv

101

citations

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition

NEURIPS 2023arXiv

citations

Overwriting Pretrained Bias with Finetuning Data

ICCV 2023arXiv

citations

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

CVPR 2023arXiv

citations

Towards Unique and Informative Captioning of Images

ECCV 2020arXiv

citations

Gender Artifacts in Visual Datasets

ICCV 2023arXiv

citations

Boundary Guided Learning-Free Semantic Control with Diffusion Models

NEURIPS 2023arXiv

citations

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

ECCV 2022arXiv

citations

Multi-Query Video Retrieval

ECCV 2022arXiv

citations

D^3: Scaling Up Deepfake Detection by Learning from Discrepancy

CVPR 2025arXiv

citations

What is Dataset Distillation Learning?

ICML 2024arXiv

citations

The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation

ICCV 2025arXiv

citations

Attention IoU: Examining Biases in CelebA using Attention Maps

CVPR 2025arXiv

citations

Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation

NEURIPS 2022

citations

Olga Russakovsky

papers (20)

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

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

Fair Attribute Classification Through Latent Space De-Biasing

Understanding and Evaluating Racial Biases in Image Captioning

HIVE: Evaluating the Human Interpretability of Visual Explanations

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

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

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition

Overwriting Pretrained Bias with Finetuning Data

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

Towards Unique and Informative Captioning of Images

Gender Artifacts in Visual Datasets

Boundary Guided Learning-Free Semantic Control with Diffusion Models

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

Multi-Query Video Retrieval

D^3: Scaling Up Deepfake Detection by Learning from Discrepancy

What is Dataset Distillation Learning?

The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation

Attention IoU: Examining Biases in CelebA using Attention Maps

Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation

papers (20)

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

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

Fair Attribute Classification Through Latent Space De-Biasing

Understanding and Evaluating Racial Biases in Image Captioning

HIVE: Evaluating the Human Interpretability of Visual Explanations

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

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

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition

Overwriting Pretrained Bias with Finetuning Data

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

Towards Unique and Informative Captioning of Images

Gender Artifacts in Visual Datasets

Boundary Guided Learning-Free Semantic Control with Diffusion Models

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

Multi-Query Video Retrieval

D^3: Scaling Up Deepfake Detection by Learning from Discrepancy

What is Dataset Distillation Learning?

The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation

Attention IoU: Examining Biases in CelebA using Attention Maps

Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation