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Alan Yuille

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
Area:
Computation & Theory
Google:
"Alan Yuille"
Mean distance: 14.62 (cluster 23)
 		SNBCP
Cross-listing: Computer Science Tree

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Parents

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Stephen Hawking grad student 1981 Cambridge (Physics Tree)

Children

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Russell Epstein grad student 1991-1996 Harvard
Songfeng Zheng grad student 2008 UCLA
Long Zhu grad student 2008 UCLA
Xingyao Ye grad student 2012 UCLA
Roozbeh Mottaghi grad student 2013 UCLA
Jason Corso post-doc UCLA
Hongjing Lu post-doc 2005-2006 UCLA

Collaborators

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Bas Rokers collaborator 2004-2006 UCLA
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Publications

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Cao K, Xia Y, Yao J, et al. (2023) Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Nature Medicine
Ichien N, Liu Q, Fu S, et al. (2023) Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cognitive Science. 47: e13347
Ren Z, Luo W, Yan J, et al. (2020) STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Luo C, Yang Z, Wang P, et al. (2019) Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. Ieee Transactions On Pattern Analysis and Machine Intelligence
Tang P, Wang X, Bai S, et al. (2018) PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence
Lugo-Fagundo C, Vogelstein B, Yuille A, et al. (2017) Deep Learning in Radiology: Now the Real Work Begins. Journal of the American College of Radiology : Jacr
Shen W, Zhao K, Jiang Y, et al. (2017) DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Cho NG, Yuille A, Lee SW. (2017) A Novel Linelet-based Representation for Line Segment Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence
Mottaghi R, Fidler S, Yuille A, et al. (2016) Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 74-87
Wong A, Yuille A. (2016) One shot learning via compositions of meaningful patches Proceedings of the Ieee International Conference On Computer Vision. 11: 1197-1205
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