Olga Russakovsky
37 papers · 2006–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (19) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
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Cross-Pollinator
(15)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(67)
π
Keyword Trendsetter Combo
(5)
π
Keyword Champion
π§¬
Topic Evolution
π
Triple Crown
π±
Topic Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
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Conference Pioneer
π
Century Club
(37)
ποΈ
Keyword Collector
(154)
β
The Questioner
(3)
π₯
Unstoppable
(7)
Conferences
CVPR (11)
ICCV (8)
NIPS (7)
ECCV (5)
ICML (4)
ACL (1)
ICLR (1)
Top co-authors
Research topics
Keywords
object detection
(3)
visual question answering
(3)
dataset bia
(3)
bias mitigation
(3)
reinforcement learning
(2)
transfer learning
(2)
gender bia
(2)
generative model
(2)
diffusion model
(2)
graphical model
(2)
data augmentation
(2)
deep neural network
(2)
object recognition
(2)
latent space
(2)
action recognition
(2)
video understanding
(2)
image generation
(2)
recurrent neural network
(2)
visual recognition
(2)
action detection
(2)
Papers
Unifying Specialized Visual Encoders for Video Language Models
ICML 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
CVPR 2025
D^3: Scaling Up Deepfake Detection by Learning from Discrepancy
CVPR 2025
The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation
ICCV 2025
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
ICLR 2024
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
NIPS 2024
What is Dataset Distillation Learning?
ICML 2024
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
NIPS 2023
Overwriting Pretrained Bias with Finetuning Data
ICCV 2023
Gender Artifacts in Visual Datasets
ICCV 2023
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
CVPR 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models
NIPS 2023
Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation
NIPS 2022
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
ACL 2022
A Study of Face Obfuscation in ImageNet
ICML 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
ECCV 2022
Multi-Query Video Retrieval
ECCV 2022
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding
ECCV 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
NIPS 2022
Directional Bias Amplification
ICML 2021
Fair Attribute Classification Through Latent Space De-Biasing
CVPR 2021
Understanding and Evaluating Racial Biases in Image Captioning
ICCV 2021
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
ECCV 2020
Towards Unique and Informative Captioning of Images
ECCV 2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
NIPS 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
CVPR 2020
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
ICCV 2019
Human Uncertainty Makes Classification More Robust
ICCV 2019
What Actions Are Needed for Understanding Human Actions in Videos?
ICCV 2017
What's in a Question: Using Visual Questions as a Form of Supervision
CVPR 2017
Predictive-Corrective Networks for Action Detection
CVPR 2017
Learning to Learn From Noisy Web Videos
CVPR 2017
End-To-End Learning of Action Detection From Frame Glimpses in Videos
CVPR 2016
Joint Calibration of Ensemble of Exemplar SVMs
CVPR 2015
Best of Both Worlds: Human-Machine Collaboration for Object Annotation
CVPR 2015
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?
ICCV 2013
Training Conditional Random Fields for Maximum Labelwise Accuracy
NIPS 2006