| Score-Based Diffusion Models as Principled Priors for Inverse Imaging BT Feng, J Smith, M Rubinstein, H Chang, KL Bouman, WT Freeman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 44 | 2023 |
| Towards unique and informative captioning of images Z Wang, B Feng, K Narasimhan, O Russakovsky Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 32 | 2020 |
| Learning bandwidth expansion using perceptually-motivated loss B Feng, Z Jin, J Su, A Finkelstein ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| Provable probabilistic imaging using score-based generative priors Y Sun, Z Wu, Y Chen, BT Feng, KL Bouman arXiv preprint arXiv:2310.10835, 2023 | 10 | 2023 |
| Efficient bayesian computational imaging with a surrogate score-based prior BT Feng, KL Bouman arXiv preprint arXiv:2309.01949, 2023 | 9 | 2023 |
| Visual vibration tomography: Estimating interior material properties from monocular video BT Feng, AC Ogren, C Daraio, KL Bouman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| Gaussian process regression as a surrogate model for the computation of dispersion relations AC Ogren, BT Feng, KL Bouman, C Daraio Computer Methods in Applied Mechanics and Engineering 420, 116661, 2024 | 2 | 2024 |
| A Tale of Two Encodings: Comparing Bag-of-Words and Word2vec for VQA B Feng, D Thuremella | 1 | 2018 |
