| Transform quantization for CNN compression SI Young, W Zhe, D Taubman, B Girod IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5700-5714, 2021 | 77 | 2021 |
| Non-line-of-sight surface reconstruction using the directional light-cone transform SI Young, DB Lindell, B Girod, D Taubman, G Wetzstein Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 64 | 2020 |
| COGL: Coefficient graph Laplacians for optimized JPEG image decoding SI Young, AT Naman, D Taubman IEEE Transactions on Image Processing 28 (1), 343-355, 2018 | 24 | 2018 |
| On-demand influencer discovery on social media C Zheng, Q Zhang, S Young, W Wang Proceedings of the 29th ACM international conference on information …, 2020 | 21 | 2020 |
| Gaussian lifting for fast bilateral and nonlocal means filtering SI Young, B Girod, D Taubman IEEE Transactions on Image Processing 29, 6082-6095, 2020 | 17 | 2020 |
| Fast optical flow extraction from compressed video SI Young, B Girod, D Taubman IEEE Transactions on Image Processing 29, 6409-6421, 2020 | 15 | 2020 |
| Rethinking satellite data merging: from averaging to SNR optimization S Kim, A Sharma, YY Liu, SI Young IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 12 | 2021 |
| Rate-distortion optimized coding for efficient cnn compression W Zhe, J Lin, MS Aly, S Young, V Chandrasekhar, B Girod 2021 Data Compression Conference (DCC), 253-262, 2021 | 10 | 2021 |
| Test4HepC: promoting hepatitis C testing to baby boomers using social media A Plant, EG Snow, JA Montoya, S Young, M Javanbakht, JD Klausner Health Promotion Practice 21 (5), 780-790, 2020 | 10 | 2020 |
| Graph Laplacian regularization for robust optical flow estimation SI Young, AT Naman, D Taubman IEEE Transactions on Image Processing 29, 3970-3983, 2019 | 10 | 2019 |
| SuperWarp: Supervised learning and warping on U-Net for invariant subvoxel-precise registration SI Young, Y Balbastre, AV Dalca, WM Wells, JE Iglesias, B Fischl International workshop on biomedical image registration, 103-115, 2022 | 9 | 2022 |
| Supervision by Denoising for Medical Image Segmentation SI Young, AV Dalca, E Ferrante, P Golland, CA Metzler, B Fischl, ... arXiv preprint arXiv:2202.02952, 2022 | 7 | 2022 |
| Automatic segmentation of the placenta in bold mri time series SM Abulnaga, SI Young, K Hobgood, E Pan, CJ Wang, PE Grant, ... International Workshop on Preterm, Perinatal and Paediatric Image Analysis, 1-12, 2022 | 6 | 2022 |
| Rate-distortion optimized optical flow estimation SI Young, D Taubman 2015 IEEE International Conference on Image Processing (ICIP), 1677-1681, 2015 | 4 | 2015 |
| Solving vision problems via filtering SI Young, AT Naman, B Girod, D Taubman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 3 | 2019 |
| Optimizing block-coded motion parameters with block-partition graphs SI Young, RK Mathew, D Taubman 2016 IEEE International Conference on Image Processing (ICIP), 2037-2041, 2016 | 2 | 2016 |
| Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology H Gazula, HFJ Tregidgo, B Billot, Y Balbastre, J Williams-Ramirez, ... eLife 12, RP91398, 2024 | 1 | 2024 |
| A Framework for Interpretability in Machine Learning for Medical Imaging AQ Wang, BK Karaman, H Kim, J Rosenthal, R Saluja, SI Young, ... IEEE Access, 2024 | 1 | 2024 |
| Diffeomorphic Multi-resolution Deep Learning Registration for Applications in Breast MRI MG French, GD Maso Talou, TP Babarenda Gamage, MP Nash, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| SUD: Supervision by Denoising Diffusion Models for Image Reconstruction MA Chan, SI Young, CA Metzler arXiv preprint arXiv:2303.09642, 2023 | 1 | 2023 |
Taubman DUNSW在 unsw.edu.au 的电子邮件经过验证
