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检索条件"机构=Lab of Intelligent Recognition and Image Processing Beihang University"
100 条 记 录,以下是21-30 订阅
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BUAA-iCC at imageCLEF 2015 scalable concept image annotation challenge  16
BUAA-iCC at ImageCLEF 2015 scalable concept image annotation...
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16th Conference and labs of the Evaluation Forum, CLEF 2015
作者: Wang, Yunhong Chen, Jiaxin Liu, Ningning Zhang, Li Intelligent Recognition and Image Processing Lab Beihang University Beijing100191 China School of Information Technology and Management University of International Business and Economics Beijing100029 China
In this working note, we mainly focus on the image annotation subtask of imageCLEF 2015 challenge that BUAA-iCC research group participated. For this task, we firstly explore textual similarity information between eac... 详细信息
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Corrections to "Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities" [Dec 15 4741-4755]
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IEEE transactions on image processing : a publication of the IEEE Signal processing Society 2016年 第1期25卷 494页
作者: Jiaxin Chen Zhaoxiang Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing China
Corrections are presented for the above paper (ibid., vol. 24, no. 12, pp. 4741-4755, Dec. 2015).
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Action recognition based on kinematic representation of video data
Action recognition based on kinematic representation of vide...
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作者: Sun, Xin Huang, Di Wang, Yunhong Qin, Jie Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing100191 China
The local space-time feature is an effective way to represent video data and achieves state-of-the-art performance in action recognition. However, in majority of cases, it only captures the static or dynamic cues of t... 详细信息
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Binary pattern flavored feature extractors for Facial Expression recognition: An overview
Binary pattern flavored feature extractors for Facial Expres...
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Proceedings of the International Convention MIPRO
作者: Rasmus Lyngby Kristensen Zheng-Hua Tan Zhanyu Ma Jun Guo Section of Image Analysis and Computer Graphics Technical University of Denmark Kgs. Lyngby Denmark Signal and Information Processing section (SIP) Aalborg University Aalborg Denmark Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression recognition (FER) problem. In total, 26 different feature extractors are included, of which six are se... 详细信息
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Age invariant face recognition based on texture embedded discriminative graph model
Age invariant face recognition based on texture embedded dis...
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IEEE International Joint Conference on Biometrics (IJCB)
作者: Hongyu Yang Di Huang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beihang University Beijing China
In an automatic face recognition system, it still remains a challenge to improve the robustness to aging. In this paper, we present a novel approach to address age invariant face recognition, by formulating it as a gr... 详细信息
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ACTION recognition BASED ON KINEMATIC REPRESENTATION OF VIDEO DATA
ACTION RECOGNITION BASED ON KINEMATIC REPRESENTATION OF VIDE...
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IEEE International Conference on image processing
作者: Xin Sun Di Huang Yunhong Wang Jie Qin Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University
The local space-time feature is an effective way to represent video data and achieves state-of-the-art performance in action recognition. However, in majority of cases, it only captures the static or dynamic cues of t... 详细信息
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Efficient human parsing based on sketch representation
Efficient human parsing based on sketch representation
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11th Asian Conference on Computer Vision, ACCV 2012
作者: Wang, Meng Zhang, Zhaoxiang Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing China
In this paper, we present an efficient human parsing method which estimates human body poses from 2D images. Firstly we propose an edge sketch representation, which enhance critical information for pose estimation and... 详细信息
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Hand dorsal vein recognition based on shape representation of the venous network
Hand dorsal vein recognition based on shape representation o...
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14th Pacific-Rim Conference on Multimedia, PCM 2013
作者: Zhu, Xiangrong Huang, Di Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing 100191 China
In recent years, the hand dorsal vein has received increasing attentions in the domain of biometrics. This paper presents a novel approach for hand dorsal vein identification based on shape description of the venous n... 详细信息
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Biometric information hiding: Promoting multimedia security with content and identity authentication
Biometric information hiding: Promoting multimedia security ...
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2013 IEEE China Summit and International Conference on Signal and Information processing, ChinaSIP 2013
作者: Ma, Bin Li, Chunlei Zhang, Zhaoxiang Wang, Yunhong Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing China School of Electronic and Information Engineering Zhongyuan University of Technology Zhengzhou China
Biometrics and information hiding, as two different yet promising techniques for individual identification and digital media protection, have been extensively studied in the latest decade. Recently, hybrid approaches ... 详细信息
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LPQ based static and dynamic modeling of facial expressions in 3D videos
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2012 International Conference on Service-Oriented Computing, ICSOC 2012
作者: Zhen, Qingkai Huang, Di Wang, Yunhong Chen, Liming Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing China Ecole Centrale de Lyon LIRIS UMR5205 F-69134 Lyon France
Automatic Facial Expression recognition (FER) is one of the most active topics in the domain of computer vision and pattern recognition. In this paper, we focus on discrete facial expression recognition by using 4D da... 详细信息
来源: 评论