Fong, Ruth

11 publications

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

CVPRW 2023 Improving Data-Efficient Fossil Segmentation via Model Editing Indu Panigrahi, Ryan Manzuk, Adam Maloof, Ruth Fong

NeurIPSW 2023 Interactive Visual Feature Search Devon Ulrich, Ruth Fong

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

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

ICCV 2021 On Compositions of Transformations in Contrastive Self-Supervised Learning Mandela Patrick, Yuki M. Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi

NeurIPS 2020 Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina, Ruth Fong, Andrea Vedaldi

CVPR 2020 There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi

ICCVW 2019 Occlusions for Effective Data Augmentation in Image Classification Ruth Fong

ICCV 2019 Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth Fong, Mandela Patrick, Andrea Vedaldi

CVPR 2018 Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks Ruth Fong, Andrea Vedaldi