Alan L. Yuille

Alan L. Yuille
Alan L.
Yuille
Research Affiliate
Johns Hopkins University
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:  alan.yuille@jhu.edu
Room:  Clark 324B | Krieger 147 (lab)
Faculty Profile
Website: 

Past Advisees

John Flynn - Postdoc
Junhua Mao - Graduate Student
Zhou Ren - Graduate Student
Jianyu Wang - Graduate Student
Peng Wang - Graduate Student
Fangting Xia - Graduate Student
Zhishuai Zhang - Graduate Student
Jun Zhu - Postdoc

CBMM Publications

J. Wang, Zhang, Z., Xie, C., Zhou, Y., Premachandran, V., Zhu, J., Xie, L., and Yuille, A., “Visual Concepts and Compositional Voting”, Annals of Mathematical Sciences and Applications (AMSA), vol. 3, no. 1, pp. 151–188, 2018.
J. Wang, Zhang, Z., Xie, C., Zhou, Y., Premachandran, V., Zhu, J., Xie, L., and Yuille, A., “Visual concepts and compositional voting”. 2018.
Y. - S. Wang, Liu, C., Zeng, X., and Yuille, A., “Scene Graph Parsing as Dependency Parsing”. 2018.
C. Liu, Lin, Z., Shen, X., Yang, J., Lu, X., and Yuille, A., “Recurrent Multimodal Interaction for Referring Image Segmentation”. 2018.
A. Yuille and Liu, C., “Deep Nets: What have they ever done for Vision?”. 2018.
W. Shen, Guo, Y., Wang, Y., Zhao, K., Wang, B., and Yuille, A., “Deep Regression Forests for Age Estimation”. 2018.
Z. Zhang, Qiao, S., Xie, C., Shen, W., Wang, B., and Yuille, A., “Single-Shot Object Detection with Enriched Semantics”. 2018.
Z. Zhang, Qiao, S., Xie, C., Shen, W., Wang, B., and Yuille, A., “Single-Shot Object Detection with Enriched Semantics”, in Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, 2018.
Z. Zhang, Xie, C., Wang, J., Xie, L., and Yuille, A., “DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion”, in Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, 2018.
Z. Zhang, Xie, C., Wang, J., Xie, L., and Yuille, A., “DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion”. 2018.
C. Liu, Mao, J., Sha, F., and Yuille, A., “Attention Correctness in Neural Image Captioning”, in AAAI 2017, 2017.
J. Wang, Xie, C., Zhang, Z., Zhu, J., Xie, L., and Yuille, A., “Detecting Semantic Parts on Partially Occluded Objects”. 2017.
J. Wang, Xie, C., Zhang, Z., Zhu, J., Xie, L., and Yuille, A., “Detecting Semantic Parts on Partially Occluded Objects”, in British Machine Vision Conference (BMVC), London, UK, 2017.
W. Shen, Wang, B., Jiang, Y., Wang, Y., and Yuille, A., “Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection”. 2017.
F. Xia, Wang, P., Chen, L. -chieh, and Yuille, A., “Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net”, in ECCV, 2016.
P. Wang and Yuille, A., “DOC: Deep OCclusion Recovering From A Single Image”, ECCV. 2016.
J. Mao, Xu, J., Jing, Y., and Yuille, A., “Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images”, in NIPS 2016, 2016.
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.
F. Xia, Wang, P., Chen, L. -chieh, and Yuille, A., “Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net”, in ECCV, Amsterdam, The Netherlands, 2016.
J. Wang and Yuille, A., “Semantic Part Segmentation using Compositional Model combing Shape and Appearance”, in CVPR, 2015.
A. Wong and Yuille, A., “One Shot Learning via Compositions of Meaningful Patches”, in International Conference on Computer Vision (ICCV), 2015.
J. Mao, Xu, W., Yang, Y., Wang, J., Huang, Z., and Yuille, A., “Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)”. 2015.
A. Yuille and Mottaghi, R., “Complexity of Representation and Inference in Compositional Models with Part Sharing”. 2015.
X. Chen and Yuille, A., “Parsing Occluded People by Flexible Compositions”, Computer Vision and Pattern Recognition (CVPR). 2015.
A. Wong and Yuille, A., “One Shot Learning by Composition of Meaningful Patches”, in International Conference on Computer Vision (ICCV), Santiago, Chile, 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.
J. Mao, Xu, W., Yang, Y., Wang, J., Huang, Z., and Yuille, A., “Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images”, in International Conference of Computer Vision, Santiago, Chile, 2015.
R. Mottaghi, Fidler, S., Yuille, A., Urtasun, R., and Parikh, D., “Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding.”. 2014.
X. Chen, Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., and Yuille, A., “Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts.”. 2014.
C. Wang, Wang, Y., Lin, Z., Yuille, A., and Gao, W., “Robust Estimation of 3D Human Poses from a Single Image.”. 2014.
Y. Li, Koch, C., Rehg, J. M., and Yuille, A., “The Secrets of Salient Object Segmentation.”. 2014.
W. Lu, Lian, X., and Yuille, A., “Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency.”. 2014.