Stephanie Fu

According to our database, Stephanie Fu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies.

Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, Andrew W. Reddie

CoRR, 2024

Evaluating Multiview Object Consistency in Humans and Image Models.

Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas P. O'Connell, Yoni Friedman, Nancy Kanwisher, Joshua B. Tenenbaum, Alexei A. Efros

CoRR, 2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba

CoRR, 2024

FeatUp: A Model-Agnostic Framework for Features at Any Resolution.

Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OpenStreetView-5M: The Many Roads to Global Visual Geolocation.

Guillaume Astruc, Nicolas Dufour, Ioannis Siglidis, Constantin Aronssohn, Nacim Bouia, Stephanie Fu, Romain Loiseau, Van Nguyen Nguyen, Charles Raude, Elliot Vincent, Lintao Xu, Hongyu Zhou, Loïc Landrieu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning.

Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Model-Agnostic Explainability for Visual Search.

Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman

CoRR, 2021

2020

Conditional Image Retrieval.

Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu

CoRR, 2020

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval.

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020