Stephanie Fu

According to our database, Stephanie Fu authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing.

Baifeng Shi, Stephanie Fu, Long Lian, Hanrong Ye, David Eigen, Aaron Reite, Boyi Li, Jan Kautz, Song Han, David M. Chan, Pavlo Molchanov, Trevor Darrell, Hongxu Yin

CoRR, March, 2026

2025

Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens.

Yiming Qin, Bomin Wei, Jiaxin Ge, Konstantinos Kallidromitis, Stephanie Fu, Trevor Darrell, Xudong Wang

CoRR, November, 2025

Hidden in plain sight: VLMs overlook their visual representations.

Stephanie Fu, Tyler Bonnen, Devin Guillory, Trevor Darrell

CoRR, June, 2025

What Makes for a Good Stereoscopic Image?

Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

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

When does perceptual alignment benefit vision representations?

Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Evaluating Multiview Object Consistency in Humans and Image Models.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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