William T. Freeman
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
Computer visionWebsite:
http://people.csail.mit.edu/billf/Google:
"William Freeman"Bio:
Freeman, William Tafel Steerable filters and local analysis of image structure Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Architecture, 1992.
Cross-listing: Computer Science Tree - E-Tree
Parents
Sign in to add mentor| Edward H. Adelson | grad student | 1992 | MIT (Neurotree) | |
| (Steerable filters and local analysis of image structure.) | ||||
Children
Sign in to add trainee| Ce Liu | grad student | 2003- | MIT (Neurotree) |
| Marshall Tappen | grad student | 2006 | MIT (Neurotree) |
| Katherine Louise Bouman | grad student | 2017 | MIT (Computer Science Tree) |
| Anne Harrington | grad student | 2021-2023 | MIT (Neurotree) |
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Publications
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| Li Z, Dekel T, Cole F, et al. (2020) MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Akiyama K, Alberdi A, Alef W, et al. (2019) First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole The Astrophysical Journal. 875: 1-17 |
| Akiyama K, Alberdi A, Alef W, et al. (2019) First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole The Astrophysical Journal. 875: 1-52 |
| Xue T, Chen B, Wu J, et al. (2019) Video Enhancement with Task-Oriented Flow International Journal of Computer Vision. 127: 1106-1125 |
| Dalca AV, Bouman KL, Freeman WT, et al. (2018) Medical Image Imputation from Image Collections. Ieee Transactions On Medical Imaging |
| Xue T, Wu J, Bouman K, et al. (2018) Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Bouman KL, Johnson MD, Dalca AV, et al. (2018) Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements Ieee Transactions On Computational Imaging. 4: 512-527 |
| Thrampoulidis C, Shulkind G, Xu F, et al. (2018) Exploiting Occlusion in Non-Line-of-Sight Active Imaging Ieee Transactions On Computational Imaging. 4: 419-431 |
| Owens A, Wu J, McDermott JH, et al. (2018) Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning International Journal of Computer Vision. 126: 1120-1137 |
| Dalca AV, Bouman KL, Freeman WT, et al. (2017) Population Based Image Imputation. Information Processing in Medical Imaging : Proceedings of the ... Conference. 10265: 659-671 |