Stephanie Fu

phd student | EECS @ UC Berkeley

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I am a PhD student at BAIR advised by Trevor Darrell. I have been supported by the College of Engineering Fellowship and NSF GRFP.

Previously, I graduated from MIT with an MEng in computer science (advised by Phillip Isola) and bachelors degrees in computer science and music. During my undergrad, I was fortunate to work on exciting research under Bill Freeman, Yoel Fink, and Phillip Isola.

I am broadly interested in computer vision and representation learning. Recently I have been thinking about 1) modeling and understanding human visual intelligence and 2) using that knowledge to build better perceptual representations.


In 2019, I co-founded TEDxMIT and helped launch the inaugural conference at MIT CSAIL. Since then, TEDxMIT has brought communities across the Greater Boston area together with regular events and speakers. Check out past and upcoming conferences here!


news

Jun 2025 Our paper Hidden in plain sight: VLMs overlook their visual representations won best paper at the CVPR 2025 EVAL-FoMo 2 Workshop!
Oct 2024 We just released When does perceptual alignment benefit vision representations? and will be presenting a poster at NeurIPS 2024!
Jul 2024 I was accepted to and will be attending the International Computer Vision Summer School (ICVSS)!

selected publications

  1. Stephanie Fu, Tyler Bonnen, Devin Guillory, and Trevor Darrell
    CVPR 2025 EVAL-FoMo 2 Workshop Best Paper Award
  2. Netanel Y. Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, and Miriam Farber
    CVPR 2025 CV4Metaverse Workshop
  3. Shobhita Sundaram*, Stephanie Fu*, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, and Phillip Isola
    NeurIPS 2024
  4. Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, and Andrew W. Reddie
  5. Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas O’Connell, Yoni Friedman, Nancy Kanwisher, Joshua B. Tenenbaum, and Alexei A. Efros
    NeurIPS Datasets & Benchmarks 2024
  6. 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, and Loic Landrieu
    CVPR 2024
  7. Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrian Rodriguez-Munoz, Shivam Duggal, Phillip Isola, and Antonio Torralba
    CVPR 2024
  8. Stephanie Fu, Mark Hamilton, Laura Brandt, Axel Feldman, Zhoutong Zhang, and William T. Freeman
    ICLR 2024
  9. Stephanie Fu*, Netanel Tamir*, Shobhita Sundaram*, Lucy Chai, Richard Zhang, Tali Dekel, and Phillip Isola
    NeurIPS 2023 Spotlight
  10. Mark Hamilton, Scott Lundberg, Lei Zhang, Stephanie Fu, and William T Freeman
    ICLR 2022
  11. Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, and William T. Freeman
    NeurIPS 2020 Competition and Demonstration Track
  12. Gabriel Loke, Tural Khudiyev, Brian Wang, Stephanie Fu, Syamantak Payra, Yorai Shaoul, Johnny Fung, Ioannis Chatziveroglou, Pin-Wen Chou, Itamar Chinn, Wei Yan, Anna Gitelson-Kahn, John Joannopoulos, and Yoel Fink
    Nature Communications