Russakovsky, Olga

46 publications

CVPR 2025 Attention IoU: Examining Biases in CelebA Using Attention Maps Aaron Serianni, Tyler Zhu, Olga Russakovsky, Vikram V. Ramaswamy

CVPR 2025 D^3: Scaling up Deepfake Detection by Learning from Discrepancy Yongqi Yang, Zhihao Qian, Ye Zhu, Olga Russakovsky, Yu Wu

NeurIPS 2025 Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions Ye Zhu, Duo Xu, Zhiwei Deng, Jonathan Tan, Olga Russakovsky

NeurIPS 2025 The Impact of Coreset Selection on Spurious Correlations and Group Robustness Amaya Dharmasiri, William Yang, Polina Kirichenko, Lydia T. Liu, Olga Russakovsky

ICCV 2025 The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation Ruoyu Wang, Huayang Huang, Ye Zhu, Olga Russakovsky, Yu Wu

ICML 2025 Unifying Specialized Visual Encoders for Video Language Models Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky

NeurIPS 2024 ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora

NeurIPSW 2024 ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora

ICLR 2024 ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang, Byron Zhang, Olga Russakovsky

TMLR 2024 Vision-Language Dataset Distillation Xindi Wu, Byron Zhang, Zhiwei Deng, Olga Russakovsky

ICML 2024 What Is Dataset Distillation Learning? William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky

NeurIPS 2023 Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

ICMLW 2023 Discrete Diffusion Reward Guidance Methods for Offline Reinforcement Learning Matthew Coleman, Olga Russakovsky, Christine Allen-Blanchette, Ye Zhu

ICCVW 2023 Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning Nobline Yoo, Olga Russakovsky

ICCV 2023 Gender Artifacts in Visual Datasets Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

NeurIPS 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

CVPR 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

ICCV 2023 Overwriting Pretrained Bias with Finetuning Data Angelina Wang, Olga Russakovsky

ICML 2022 A Study of Face Obfuscation in ImageNet Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky

NeurIPS 2022 Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation Jihoon Chung, Yu Wu, Olga Russakovsky

ECCV 2022 HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

ECCV 2022 Multi-Query Video Retrieval Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky

NeurIPS 2022 Remember the past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng, Olga Russakovsky

ECCV 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

ICML 2021 Directional Bias Amplification Angelina Wang, Olga Russakovsky

CVPR 2021 Fair Attribute Classification Through Latent Space De-Biasing Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky

ICCV 2021 Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao, Angelina Wang, Olga Russakovsky

NeurIPS 2020 Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

ECCV 2020 REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang, Arvind Narayanan, Olga Russakovsky

CVPRW 2020 Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

ECCV 2020 Towards Unique and Informative Captioning of Images Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky

WACV 2018 The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement Jingyan Wang, Olga Russakovsky, Deva Ramanan

CVPR 2017 Learning to Learn from Noisy Web Videos Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

CVPR 2017 Predictive-Corrective Networks for Action Detection Achal Dave, Olga Russakovsky, Deva Ramanan

ICCV 2017 What Actions Are Needed for Understanding Human Actions in Videos? Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta

CVPR 2017 What's in a Question: Using Visual Questions as a Form of Supervision Siddha Ganju, Olga Russakovsky, Abhinav Gupta

CVPR 2016 End-to-End Learning of Action Detection from Frame Glimpses in Videos Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

ECCV 2016 What's the Point: Semantic Segmentation with Point Supervision Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei

CVPR 2015 Best of Both Worlds: Human-Machine Collaboration for Object Annotation Olga Russakovsky, Li-Jia Li, Li Fei-Fei

CVPR 2015 Joint Calibration of Ensemble of Exemplar SVMs Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari

ICCV 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

ECCV 2012 Object-Centric Spatial Pooling for Image Classification Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei

CVPR 2010 A Steiner Tree Approach to Efficient Object Detection Olga Russakovsky, Andrew Y. Ng

ECCV 2010 Attribute Learning in Large-Scale Datasets Olga Russakovsky, Li Fei-Fei

ECCVW 2010 Attribute Learning in Large-Scale Datasets Olga Russakovsky, Li Fei-Fei

NeurIPS 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy Samuel S. Gross, Olga Russakovsky, Chuong B. Do, Serafim Batzoglou