Alan Yuille

Bloomberg Distinguished Professor of Cognitive Science & Computer Science

Clark 324B | Krieger 147 (lab)
By appointment
Personal Website
Google Scholar Profile


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.

Displaying the 20 most recent publications. View the Google Scholar Profile for complete publications list.

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E Jahangiri, AL Yuille
Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections
arXiv preprint arXiv:1702.02258, 2017

V Premachandran, D Tarlow, AL Yuille, D Batra
Empirical Minimum Bayes Risk Prediction
IEEE transactions on pattern analysis and machine intelligence 39 (1), 75-86, 2017

Y Zhou, L Xie, W Shen, E Fishman, A Yuille
Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach
arXiv preprint arXiv:1612.08230, 2016

Y Zhang, W Qiu, Q Chen, X Hu, A Yuille
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision
arXiv preprint arXiv:1612.04647, 2016

Z Zhu, L Xie, AL Yuille
Object Recognition with and without Objects
arXiv preprint arXiv:1611.06596, 2016

X Dong, BI Bonev, W Li, W Qiu, X Chen, AL Yuille
Ground-Truth Dataset and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level
IEEE Transactions on Circuits and Systems for Video Technology, 2016

P Wang, A Yuille
DOC: Deep OCclusion Estimation from a Single Image
European Conference on Computer Vision, 545-561, 2016

Y Gao, AL Yuille
Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation
European Conference on Computer Vision, 408-424, 2016

W Qiu, A Yuille
UnrealCV: Connecting Computer Vision to Unreal Engine
Computer Vision–ECCV 2016 Workshops, 909-916, 2016

L Xie, Q Tian, J Flynn, J Wang, A Yuille
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
European Conference on Computer Vision, 645-661, 2016

F Xia, P Wang, LC Chen, AL Yuille
Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
European Conference on Computer Vision, 648-663, 2016

Z Ren, H Jin, Z Lin, C Fang, A Yuille
Joint Image-Text Representation by Gaussian Visual-Semantic Embedding
Proceedings of the 2016 ACM on Multimedia Conference, 207-211, 2016

W Shen, K Zhao, Y Jiang, Y Wang, X Bai, A Yuille
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
arXiv preprint arXiv:1609.03659, 2016

Y Gao, J Ma, AL Yuille
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
arXiv preprint arXiv:1609.03279, 2016

WB Jiang, B Luo, H Jin, AL Yuille, JS Xiao
A Novel Parallelized Feature Extraction in Grouped Scale Space Based on Graphic Processing Units
Journal of Internet Technology 17 (5), 1061-1069, 2016

Y Gao, AL Yuille
Exploiting symmetry and/or manhattan properties for 3d object structure estimation from single and multiple images
arXiv preprint arXiv:1607.07129, 2016

LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
arXiv preprint arXiv:1606.00915, 2016

C Liu, J Mao, F Sha, A Yuille
Attention correctness in neural image captioning
arXiv preprint arXiv:1605.09553, 2016

W Jiang, M Long, LT Yang, X Liu, H Jin, AL Yuille, Y Chi
FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems
Future Generation Computer Systems, 2016

F Xia, J Zhu, P Wang, AL Yuille
Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features.
AAAI, 3632-3640, 2016