Kevin Murphy
Cited by
Cited by
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
Machine learning, a probabilistic perspective
C Robert
CHANCE 27 (2), 62-63, 2014
Dynamic bayesian networks: representation, inference and learning
KP Murphy, S Russell
University of California, Berkeley, 2002
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
Loopy belief propagation for approximate inference: An empirical study
K Murphy, Y Weiss, MI Jordan
arXiv preprint arXiv:1301.6725, 2013
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
The bayes net toolbox for matlab
K Murphy
Computing science and statistics 33 (2), 1024-1034, 2001
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
arXiv preprint arXiv:1301.3853, 2013
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
Context-based vision system for place and object recognition.
A Torralba, KP Murphy, WT Freeman, MA Rubin
ICCV 3, 273-280, 2003
Contextual priming for object detection
A Torralba
International journal of computer vision 53 (2), 169-191, 2003
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
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
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
arXiv preprint arXiv:1301.7374, 2013
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
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
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
Bayesian map learning in dynamic environments
KP Murphy
Advances in Neural Information Processing Systems, 1015-1021, 2000
Modelling gene expression data using dynamic Bayesian networks
K Murphy, S Mian
Technical report, Computer Science Division, University of California …, 1999
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
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