Alan L. Yuille

Alan L. Yuille
Alan L.
Yuille
Investigator

Department: 

Cognitive Science and Computer Science

Associated Research Thrust: 

Dr. Yuille is a mathematician and computer scientist interested in the biology of vision. His research spans several disciplines including computer vision, vision science, and neuroscience.

Alan Yuille received a BA degree in mathematics from the University of Cambridge in 1976. His PhD on theoretical physics, supervised by Prof. S.W. Hawking, was approved in 1981. He was a research scientist in the Artificial Intelligence Laboratory at MIT and the Division of Applied Sciences at Harvard University from 1982 to 1988. He served as an assistant and associate professor at Harvard until 1996. He was a senior research scientist at the Smith-Kettlewell Eye Research Institute from 1996 to 2002. He joined the University of California, Los Angeles, as a full professor with a joint appointment in statistics and psychology in 2002. He obtained a joint appointment in computer science in 2007.

Dr. Yuille was appointed a Bloomberg Distinguished Professor at Johns Hopkins University in January 2016. He holds a joint appointment between the Departments of Cognitive science and Computer Science. 

Email: 

Room: 

Clark 324B | Krieger 147 (lab)

Advisees

Zhishuai Zhang - Graduate Student

Publications

J. Mao, Huang, J., Toshev, A., Camburu, O., Yuille, A., and Murphy, K., Generation and Comprehension of Unambiguous Object Descriptions, in The Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016.
A. Wong and Yuille, A., One Shot Learning via Compositions of Meaningful Patches, in International Conference on Computer Vision (ICCV), 2015.
X. Chen and Yuille, A., Parsing Occluded People by Flexible Compositions, Computer Vision and Pattern Recognition (CVPR). 2015.
Z. Ren, Wang, C., and Yuille, A., Scene-Domain Active Part Models for Object Representation, IEEE International Conference on Computer Vision (ICCV) . Santiago, Chile, pp. 2497 - 2505 , 2015.
A. Wong and Yuille, A., One Shot Learning by Composition of Meaningful Patches, in International Conference on Computer Vision (ICCV), Santiago, Chile, 2015.