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ORCIDNeurocomputing, Volume 212
Volume 212, November 2016
- Xinbo Gao
, Deyu Meng, Liang Lin, Qiguang Miao:
Special issue on Chinese Conference on Computer Vision 2015. 1-2 - Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang:
Single image super-resolution via blind blurring estimation and dictionary learning. 3-11 - Weiwei Kong, Yang Lei, Minmin Ren:
Fusion method for infrared and visible images based on improved quantum theory model. 12-21 - Yuanmei Tian, Juan Song, Xiangdong Zhang, Peiyi Shen, Liang Zhang, Weibin Gong, Wei Wei, Guangming Zhu:
An algorithm combined with color differential models for license-plate location. 22-35 - Chenqiang Gao, Yinhe Du, Jiang Liu, Jing Lv, Luyu Yang, Deyu Meng, Alexander G. Hauptmann:
InfAR dataset: Infrared action recognition at different times. 36-47 - Shikui Wei, Yao Zhao, Jia Li, Yan Zhang:
Light-weight binary code embedding of local feature distribution in image search. 48-57 - Xiaoqin Kuang, Nong Sang, Changxin Gao:
Object localization with mid-level part detectors. 58-64 - Hua Yang, Xinyu Wang, Ji Zhu, Wenqi Ma, Hang Su:
Resolution adaptive feature extracting and fusing framework for person re-identification. 65-74 - Zhaobin Cui, Ying Wang, Xinbo Gao, Jie Li, Yu Zheng:
Multispectral image classification based on improved weighted MRF Bayesian. 75-87 - Ruyi Liu, Jianfeng Song, Qiguang Miao, Pengfei Xu, Qing Xue:
Road centerlines extraction from high resolution images based on an improved directional segmentation and road probability. 88-95 - Pengfei Xu, Qiguang Miao, Ruyi Liu, Xiaojiang Chen, Xunli Fan:
Dynamic character grouping based on four consistency constraints in topographic maps. 96-106 - Chunwei Song, Feng Li, Yunqi Dang, Huijun Gao, Zifei Yan, Wangmeng Zuo:
Structured detail enhancement for cross-modality face synthesis. 107-120 - Lihuo He, Di Wang, Qi Liu, Wen Lu:
Fast image quality assessment via supervised iterative quantization method. 121-127 - Wen Lu, Tianjiao Xu, Yuling Ren, Lihuo He:
On combining visual perception and color structure based image quality assessment. 128-134
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