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
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
Dynamic bayesian networks: representation, inference and learning
KP Murphy
University of California, Berkeley, 2002
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
Loopy belief propagation for approximate inference: An empirical study
K Murphy, Y Weiss, MI Jordan
arXiv preprint arXiv:1301.6725, 2013
Rao-Blackwellised particle filtering for dynamic Bayesian networks
K Murphy, S Russell
Sequential Monte Carlo methods in practice, 499-515, 2001
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
The bayes net toolbox for matlab
K Murphy
Computing science and statistics 33 (2), 1024-1034, 2001
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
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
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
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
Deep variational information bottleneck
AA Alemi, I Fischer, JV Dillon, K Murphy
arXiv preprint arXiv:1612.00410, 2016
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
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
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
Bayesian map learning in dynamic environments
KP Murphy
Advances in neural information processing systems 12, 1999
Naive bayes classifiers
KP Murphy
University of British Columbia 18 (60), 1-8, 2006
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