Kevin Murphy
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
8523*2017
Machine learning, a probabilistic perspective
C Robert
CHANCE 27 (2), 62-63, 2014
8188*2014
Dynamic bayesian networks: representation, inference and learning
KP Murphy, S Russell
University of California, Berkeley, 2002
33262002
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
30042008
Loopy belief propagation for approximate inference: An empirical study
K Murphy, Y Weiss, MI Jordan
arXiv preprint arXiv:1301.6725, 2013
20112013
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
16632017
The bayes net toolbox for matlab
K Murphy
Computing science and statistics 33 (2), 1024-1034, 2001
15502001
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
arXiv preprint arXiv:1301.3853, 2013
15062013
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
13102014
Context-based vision system for place and object recognition.
A Torralba, KP Murphy, WT Freeman, MA Rubin
ICCV 3, 273-280, 2003
11082003
Contextual priming for object detection
A Torralba
International journal of computer vision 53 (2), 169-191, 2003
9812003
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
9282015
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
8972007
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
8262018
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
8202015
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
arXiv preprint arXiv:1301.7374, 2013
8142013
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
7932004
Bayesian map learning in dynamic environments
KP Murphy
Advances in Neural Information Processing Systems 12, 1015-1021, 1999
6771999
Modelling gene expression data using dynamic Bayesian networks
K Murphy, S Mian
Technical report, Computer Science Division, University of California …, 1999
6731999
Using the forest to see the trees: A graphical model relating features, objects, and scenes
KP Murphy, A Torralba, W Freeman
Advances in neural information processing systems 16, 1499-1506, 2003
5192003
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Articles 1–20