CASIA OpenIR

Browse/Search Results:  1-10 of 221 Help

  Show only claimed items
Selected(0)Clear Items/Page:    Sort:
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
Authors:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
Favorite  |  View/Download:0/0  |  Submit date:2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Baselines Extraction from Curved Document Images via Slope Fields Recovery 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
Authors:  Meng, Gaofeng;  Pan, Chunhong;  Xiang, Shiming;  Wu, Ying
Favorite  |  View/Download:0/0  |  Submit date:2020/06/02
Estimation  Image segmentation  Layout  Distortion  Strips  Image quality  Degradation  Document image processing  curved baselines extraction  slope fields recovery  geometric distortion rectification  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
Authors:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Favorite  |  View/Download:0/0  |  Submit date:2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
Design and Tension Modeling of a Novel Cable-Driven Rigid Snake-Like Manipulator 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 页码: 18
Authors:  Xu, Dawei;  Li, En;  Liang, Zize;  Gao, Zishu
Favorite  |  View/Download:8/0  |  Submit date:2020/03/30
Snake-like manipulator  Cable-driven  Kinematics  Tension model  Neural network  Reinforcement learning  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
Authors:  Hui Meng;  Yuan Gao;  Xin Yang;  Kun Wang;  Jie Tian
View  |  Adobe PDF(4698Kb)  |  Favorite  |  View/Download:18/3  |  Submit date:2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
In vivo three-dimensional evaluation of tumour hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 页码: 12
Authors:  Huang, Wenhui;  Wang, Kun;  An, Yu;  Meng, Hui;  Gao, Yuan;  Xiong, Zhiyuan;  Yan, Hao;  Wang, Qian;  Cai, Xuekang;  Yang, Xin;  Zhang, Bin;  Chen, Qiuying;  Yang, Xing;  Tian, Jie;  Zhang, Shuixing
Favorite  |  View/Download:11/0  |  Submit date:2020/03/30
Nasopharyngeal carcinoma  Tumour hypoxia  Fluorescence molecular tomography  Multispectral optoacoustic tomography  Carbonic anhydrase IX  
Nonlinear Asymmetric Multi-Valued Hashing 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 11, 页码: 2660-2676
Authors:  Da, Cheng;  Meng, Gaofeng;  Xiang, Shiming;  Ding, Kun;  Xu, Shibiao;  Yang, Qing;  Pan, Chunhong
View  |  Adobe PDF(2583Kb)  |  Favorite  |  View/Download:181/44  |  Submit date:2018/10/07
Asymmetric hashing  multi-valued embeddings  binary sparse representation  nonlinear transformation  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 页码: 308-318
Authors:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
Favorite  |  View/Download:19/0  |  Submit date:2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
Authors:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
Favorite  |  View/Download:37/0  |  Submit date:2019/09/30
Visual tracking  deep learning  sampling and regression  
Blind image quality assessment via learnable attention-based pooling 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
Authors:  Gu, Jie;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
View  |  Adobe PDF(3081Kb)  |  Favorite  |  View/Download:202/85  |  Submit date:2019/05/15
Image quality assessment  Perceptual image quality  Visual attention  Convolutional neural network  Learnable pooling