Stephanie Fu

According to our database, Stephanie Fu authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

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

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

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