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Alan Yuille
Alan Yuille
Professor of Cognitive Science and Computer Science, Johns Hopkins University
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille
IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848, 2017
24930*2017
Transunet: Transformers make strong encoders for medical image segmentation
J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou
arXiv preprint arXiv:2102.04306, 2021
45742021
Feature extraction from faces using deformable templates
AL Yuille, PW Hallinan, DS Cohen
International journal of computer vision 8, 99-111, 1992
31831992
Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation
SC Zhu, A Yuille
IEEE transactions on pattern analysis and machine intelligence 18 (9), 884-900, 1996
31551996
Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
24182018
The role of context for object detection and semantic segmentation in the wild
R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2014
17062014
Attention to scale: Scale-aware semantic image segmentation
LC Chen, Y Yang, J Wang, W Xu, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2016
16792016
Object perception as Bayesian inference
D Kersten, P Mamassian, A Yuille
Annu. Rev. Psychol. 55 (1), 271-304, 2004
16402004
The secrets of salient object segmentation
Y Li, X Hou, C Koch, JM Rehg, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2014
16222014
Deep captioning with multimodal recurrent neural networks (m-rnn)
J Mao
arXiv preprint arXiv:1412.6632, 2014
15832014
Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
G Papandreou, LC Chen, KP Murphy, AL Yuille
Proceedings of the IEEE international conference on computer vision, 1742-1750, 2015
15702015
The concave-convex procedure
AL Yuille, A Rangarajan
Neural computation 15 (4), 915-936, 2003
14522003
Generation and comprehension of unambiguous object descriptions
J Mao, J Huang, A Toshev, O Camburu, AL Yuille, K Murphy
Proceedings of the IEEE conference on computer vision and pattern …, 2016
13612016
Improving transferability of adversarial examples with input diversity
C Xie, Z Zhang, Y Zhou, S Bai, J Wang, Z Ren, AL Yuille
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
12932019
Mitigating adversarial effects through randomization
C Xie, J Wang, Z Zhang, Z Ren, A Yuille
arXiv preprint arXiv:1711.01991, 2017
12742017
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
12192019
Adversarial examples for semantic segmentation and object detection
C Xie, J Wang, Z Zhang, Y Zhou, L Xie, A Yuille
Proceedings of the IEEE international conference on computer vision, 1369-1378, 2017
11542017
Genetic cnn
L Xie, A Yuille
Proceedings of the IEEE international conference on computer vision, 1379-1388, 2017
11152017
Vision as Bayesian inference: analysis by synthesis?
A Yuille, D Kersten
Trends in cognitive sciences 10 (7), 301-308, 2006
10942006
Feature denoising for improving adversarial robustness
C Xie, Y Wu, L Maaten, AL Yuille, K He
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
10322019
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