Kevin Murphy
TitleCited byYear
Machine learning, a probabilistic perspective
C Robert
CHANCE 27 (2), 62-63, 2014
6113*2014
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
5448*2017
Dynamic bayesian networks: representation, inference and learning
KP Murphy, S Russell
University of California, Berkeley, 2002
31222002
LabelMe: a database and web-based tool for image annotation
BC Russell, A Torralba, KP Murphy, WT Freeman
International journal of computer vision 77 (1-3), 157-173, 2008
27082008
Loopy belief propagation for approximate inference: An empirical study
KP Murphy, Y Weiss, MI Jordan
Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999
18691999
The bayes net toolbox for matlab
K Murphy
Computing science and statistics 33 (2), 1024-1034, 2001
14492001
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
Proceedings of the Sixteenth conference on Uncertainty in artificial …, 2000
13982000
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
10552017
Context-based vision system for place and object recognition
A Torralba, KP Murphy, WT Freeman, MA Rubin
10302003
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
10272014
Contextual priming for object detection
A Torralba
International journal of computer vision 53 (2), 169-191, 2003
9492003
Sharing visual features for multiclass and multiview object detection
A Torralba, KP Murphy, WT Freeman
IEEE Transactions on Pattern Analysis & Machine Intelligence, 854-869, 2007
8562007
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
Proceedings of the Fourteenth conference on Uncertainty in artificial …, 1998
7721998
Sharing features: efficient boosting procedures for multiclass object detection
A Torralba, KP Murphy, WT Freeman
CVPR (2) 3, 2004
7692004
Modelling gene expression data using dynamic Bayesian networks
K Murphy, S Mian
Technical report, Computer Science Division, University of California …, 1999
6501999
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
6352015
Bayesian map learning in dynamic environments
KP Murphy
Advances in Neural Information Processing Systems, 1015-1021, 2000
6182000
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
5952015
Using the forest to see the trees: A graphical model relating features, objects, and scenes
KP Murphy, A Torralba, WT Freeman
Advances in neural information processing systems, 1499-1506, 2004
5032004
Contextual models for object detection using boosted random fields
A Torralba, KP Murphy, WT Freeman
Advances in neural information processing systems, 1401-1408, 2005
4502005
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Articles 1–20