Alan Yuille

Bloomberg Distinguished Professor of Cognitive Science & Computer Science

Clark 324B | Krieger 147 (lab)
By appointment
410-516-6759
alan.yuille@jhu.edu
Personal Website
Group/Lab Website
Google Scholar Profile

Biography
Teaching
Publications
Books

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 joint appointments in computer science, psychiatry, and psychology. He moved to Johns Hopkins University in January 2016 where he was appointed a Bloomberg Distinguished Professor. He holds joint appointments in the Departments of Cognitive Science and Computer Science. His research interests include computational models of vision, mathematical models of cognition, medical image analysis, and artificial intelligence and neural networks.

He directs the research group on Computational Cognition, Vision, and Learning (CCVL). He is affiliated with the Center for Brains, Minds and Machines, and the NSF Expedition in Computing, Visual Cortex on Silicon.

 

 

  • Probabilistic Models of the Visual Cortex (AS.050.375, AS.050.675, AS.600.485)
  • Vision as Bayesian Inference(600.683)

For an archived listing, including links to syllabi, go here.

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

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NG Cho, A Yuille, SW Lee
A Novel Linelet-based Representation for Line Segment Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017

Y Gao, J Ma, AL Yuille
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
IEEE Transactions on Image Processing 26 (5), 2545-2560, 2017

S Qiao, W Shen, W Qiu, C Liu, A Yuille
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
arXiv preprint arXiv:1704.06752, 2017

F Wang, X Xiang, J Cheng, AL Yuille
NormFace: $ L_2 $ Hypersphere Embedding for Face Verification
arXiv preprint arXiv:1704.06369, 2017

X Lin, H Wang, Z Li, Y Zhang, A Yuille, TS Lee
Transfer of View-manifold Learning to Similarity Perception of Novel Objects
arXiv preprint arXiv:1704.00033, 2017

V Premachandran, B Bonev, X Lian, A Yuille
PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector
Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on, 73-81, 2017

W Shen, B Wang, Y Jiang, Y Wang, A Yuille
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
arXiv preprint arXiv:1703.08493, 2017

C Xie, J Wang, Z Zhang, Y Zhou, L Xie, A Yuille
Adversarial Examples for Semantic Segmentation and Object Detection
arXiv preprint arXiv:1703.08603, 2017

C Liu, Z Lin, X Shen, J Yang, X Lu, A Yuille
Recurrent Multimodal Interaction for Referring Image Segmentation
arXiv preprint arXiv:1703.07939, 2017

Y Wang, L Xie, C Liu, Y Zhang, W Zhang, A Yuille
SORT: Second-Order Response Transform for Visual Recognition
arXiv preprint arXiv:1703.06993, 2017

L Xie, A Yuille
Genetic CNN
arXiv preprint arXiv:1703.01513, 2017

Y Wang, L Xie, Y Zhang, W Zhang, A Yuille
Deep Collaborative Learning for Visual Recognition
arXiv preprint arXiv:1703.01229, 2017

X Chu, W Yang, W Ouyang, C Ma, AL Yuille, X Wang
Multi-context attention for human pose estimation
arXiv preprint arXiv:1702.07432, 2017

F Wang, X Xiang, C Liu, TD Tran, A Reiter, GD Hager, H Quon, J Cheng, ...
Transferring Face Verification Nets To Pain and Expression Regression
arXiv preprint arXiv:1702.06925, 2017

W Shen, K Zhao, Y Guo, A Yuille
Label Distribution Learning Forests
arXiv preprint arXiv:1702.06086, 2017

C Liu, F Sun, C Wang, F Wang, A Yuille
MAT: A Multimodal Attentive Translator for Image Captioning
arXiv preprint arXiv:1702.05658, 2017

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