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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
22774*2017
Machine learning, a probabilistic perspective
C Robert
CHANCE 27 (2), 62-63, 2014
16134*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, 157-173, 2008
45102008
Dynamic bayesian networks: representation, inference and learning
KP Murphy
University of California, Berkeley, 2002
39322002
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
33852017
Loopy belief propagation for approximate inference: An empirical study
K Murphy, Y Weiss, MI Jordan
arXiv preprint arXiv:1301.6725, 2013
23502013
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
22822018
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
22172014
Rao-Blackwellised particle filtering for dynamic Bayesian networks
K Murphy, S Russell
Sequential Monte Carlo methods in practice, 499-515, 2001
20462001
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
18942015
The bayes net toolbox for matlab
K Murphy
Computing science and statistics 33, 2001
17292001
Deep variational information bottleneck
AA Alemi, I Fischer, JV Dillon, K Murphy
arXiv preprint arXiv:1612.00410, 2016
17032016
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
15252015
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
14872018
Videobert: A joint model for video and language representation learning
C Sun, A Myers, C Vondrick, K Murphy, C Schmid
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
12942019
Context-based vision system for place and object recognition
Torralba
Proceedings Ninth IEEE International Conference on Computer Vision, 273-280 …, 2003
12822003
Generation and comprehension of unambiguous object descriptions
J Mao, J Huang, A Toshev, O Camburu, AL Yuille, K Murphy
Proceedings of the IEEE conference on computer vision and pattern …, 2016
11572016
Towards accurate multi-person pose estimation in the wild
G Papandreou, T Zhu, N Kanazawa, A Toshev, J Tompson, C Bregler, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
10192017
Probabilistic machine learning: an introduction
KP Murphy
MIT press, 2022
1000*2022
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
9842007
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