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Kevin Murphy
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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
15200*2017
Machine learning, a probabilistic perspective
C Robert
CHANCE 27 (2), 62-63, 2014
12271*2014
LabelMe: a database and web-based tool for image annotation
BC Russell, A Torralba, KP Murphy, WT Freeman
International journal of computer vision 77 (1), 157-173, 2008
37672008
Dynamic bayesian networks: representation, inference and learning
KP Murphy
University of California, Berkeley, 2002
36722002
Speed/accuracy trade-offs for modern convolutional object detectors
J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
27202017
Loopy belief propagation for approximate inference: An empirical study
K Murphy, Y Weiss, MI Jordan
arXiv preprint arXiv:1301.6725, 2013
21972013
Rao-Blackwellised particle filtering for dynamic Bayesian networks
K Murphy, S Russell
Sequential Monte Carlo methods in practice, 499-515, 2001
19062001
Knowledge Vault: A Web-scale approach to probabilistic knowledge fusion
XL Dong, K Murphy, E Gabrilovich, G Heitz, W Horn, N Lao, T Strohmann, ...
KDD, 2014
18482014
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
16562018
The bayes net toolbox for matlab
K Murphy
Computing science and statistics 33 (2), 1024-1034, 2001
16412001
A review of relational machine learning for knowledge graphs
M Nickel, K Murphy, V Tresp, E Gabrilovich
Proceedings of the IEEE 104 (1), 11-33, 2015
14782015
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
12382015
Context-based vision system for place and object recognition
A Torralba, KP Murphy, WT Freeman, MA Rubin
Computer Vision, IEEE International Conference on 2, 273-273, 2003
12202003
Deep variational information bottleneck
AA Alemi, I Fischer, JV Dillon, K Murphy
arXiv preprint arXiv:1612.00410, 2016
10252016
Sharing visual features for multiclass and multiview object detection
A Torralba, KP Murphy, WT Freeman
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (5), 854-869, 2007
9552007
Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification
S Xie, C Sun, J Huang, Z Tu, K Murphy
Proceedings of the European conference on computer vision (ECCV), 305-321, 2018
8832018
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
arXiv preprint arXiv:1301.7374, 2013
8582013
Sharing features: efficient boosting procedures for multiclass object detection
A Torralba, KP Murphy, WT Freeman
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
8352004
Naive bayes classifiers
KP Murphy
University of British Columbia 18 (60), 1-8, 2006
7412006
Bayesian map learning in dynamic environments
KP Murphy
Advances in neural information processing systems 12, 1999
7371999
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