| Digital electronics in fibres enable fabric-based machine-learning inference G Loke, T Khudiyev, B Wang, S Fu, S Payra, Y Shaoul, J Fung, ... Nature communications 12 (1), 3317, 2021 | 86 | 2021 |
| DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data S Fu, N Tamir, S Sundaram, L Chai, R Zhang, T Dekel, P Isola NeurIPS 2023, 2023 | 36 | 2023 |
| Axiomatic explanations for visual search, retrieval, and similarity learning M Hamilton, S Lundberg, L Zhang, S Fu, WT Freeman ICLR 2022, 2021 | 11* | 2021 |
| MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval M Hamilton, S Fu, M Lu, J Bui, D Bopp, Z Chen, F Tran, M Wang, ... NeurIPS 2020 Competition and Demonstration Track, 133-155, 2021 | 9* | 2021 |
| A Vision Check-up for Language Models P Sharma, TR Shaham, M Baradad, S Fu, A Rodriguez-Munoz, S Duggal, ... CVPR 2024, 2024 | 2 | 2024 |
| FeatUp: A Model-Agnostic Framework for Features at Any Resolution S Fu, M Hamilton, L Brandt, A Feldmann, Z Zhang, WT Freeman ICLR 2024, 2024 | 2 | 2024 |
| OpenStreetView-5M: The Many Roads to Global Visual Geolocation G Astruc, N Dufour, I Siglidis, C Aronssohn, N Bouia, S Fu, R Loiseau, ... arXiv preprint arXiv:2404.18873, 2024 | | 2024 |
| Learning New Dimensions of Human Visual Similarity using Synthetic Data S Fu Massachusetts Institute of Technology, 2023 | | 2023 |
