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ORCIDComputer Vision and Image Understanding, Volume 136
Volume 136, July 2015
- Adrian Barbu, Iasonas Kokkinos:
Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". 1-2 - Zhenxing Niu, Gang Hua, Qi Tian, Xinbo Gao:
Visual Topic Network: Building better image representations for images in social media. 3-13 - Siqi Nie, Ziheng Wang, Qiang Ji:
A generative restricted Boltzmann machine based method for high-dimensional motion data modeling. 14-22 - Bingyuan Liu, Jing Liu, Hanqing Lu:
Learning representative and discriminative image representation by deep appearance and spatial coding. 23-31 - Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler:
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. 32-44 - Sriram Varadarajan, Hongbin Wang, Paul Miller, Huiyu Zhou
:
Fast convergence of regularised Region-based Mixture of Gaussians for dynamic background modelling. 45-58 - Yong Xu, Yuping Sun, Yuhui Quan, Bo Zheng:
Discriminative structured dictionary learning with hierarchical group sparsity. 59-68 - Minyoung Kim:
Multiple-concept feature generative models for multi-label image classification. 69-78 - Jae-Hyuck Park, Yu-Wing Tai:
A simulation based method for vehicle motion prediction. 79-91 - Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
From circle to 3-sphere: Head pose estimation by instance parameterization. 92-102 - Julian F. P. Kooij, Gwenn Englebienne, Dariu M. Gavrila:
Identifying multiple objects from their appearance in inaccurate detections. 103-116 - Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Background modeling for generative image models. 117-127 - Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos. 128-145
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