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Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
Adobe PDF(2745Kb)  |  收藏  |  浏览/下载：137/12  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：287/40  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Consistent brain structural abnormalities and multisite individualised classification of schizophrenia using deep neural networks 期刊论文
BRITISH JOURNAL OF PSYCHIATRY, 2022, 页码: 8
作者:  Cui, Yue;  Li, Chao;  Liu, Bing;  Sui, Jing;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Ning, Yuping;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Wu, Huawang;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Adobe PDF(644Kb)  |  收藏  |  浏览/下载：333/18  |  提交时间：2022/06/06
Deep learning  grey matter  meta-analysis  multisite study  schizophrenia  
Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence 期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 5, 页码: 2686-2700
作者:  Wang, Haiyan;  Fan, Lingzhong;  Song, Ming;  Liu, Bing;  Wu, Dongya;  Jiang, Rongtao;  Li, Jin;  Li, Ang;  Banaschewski, Tobias;  Bokde, Arun L. W.;  Quinlan, Erin Burke;  Desrivieres, Sylvane;  Flor, Herta;  Grigis, Antoine;  Garavan, Hugh;  Chaarani, Bader;  Gowland, Penny;  Heinz, Andreas;  Ittermann, Bernd;  Martinot, Jean-Luc;  Martinot, Marie-Laure Paillere;  Artiges, Eric;  Nees, Frauke;  Orfanos, Dimitri Papadopoulos;  Poustka, Luise;  Millenet, Sabina;  Frohner, Juliane H.;  Smolka, Michael N.;  Walter, Henrik;  Whelan, Robert;  Schumann, Gunter;  Jiang, Tianzi
Adobe PDF(1018Kb)  |  收藏  |  浏览/下载：635/224  |  提交时间：2021/06/15
adolescence  functional connectivity  inhibitory control  longitudinal prediction  stop signal task  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：460/88  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Manipulating Template Pixels for Model Adaptation of Siamese Visual Tracking 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2020, 卷号: 27, 页码: 1690-1694
作者:  Li, Zhenbang;  Li, Bing;  Gao, Jin;  Li, Liang;  Hu, Weiming
Adobe PDF(1209Kb)  |  收藏  |  浏览/下载：263/16  |  提交时间：2021/01/07
Adaptation models  Target tracking  Task analysis  Visualization  Feature extraction  Object tracking  Training  Model adaptation  siamese networks  visual tracking  
Graph convolutional network with structure pooling and joint-wise channel attention for action recognition 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 103, 页码: 12
作者:  Chen, Yuxin;  Ma, Gaoqun;  Yuan, Chunfeng;  Li, Bing;  Zhang, Hui;  Wang, Fangshi;  Hu, Weiming
Adobe PDF(2455Kb)  |  收藏  |  浏览/下载：293/8  |  提交时间：2020/06/22
Graph convolutional network  Structure graph pooling  Joint-wise channel attention  
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
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载：334/17  |  提交时间：2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
A neuroimaging biomarker for striatal dysfunction in schizophrenia 期刊论文
NATURE MEDICINE, 2020, 卷号: 26, 期号: 26, 页码: 27
作者:  Li, Ang;  Zalesky, Andrew;  Yue, Weihua;  Howes, Oliver;  Yan, Hao;  Liu, Yong;  Fan, Lingzhong;  Whitaker, Kirstie J.;  Xu, Kaibin;  Rao, Guangxiang;  Li, Jin;  Liu, Shu;  Wang, Meng;  Sun, Yuqing;  Song, Ming;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Wang, Xiaoqun;  Jiang, Tianzi;  Liu, Bing
浏览  |  Adobe PDF(5512Kb)  |  收藏  |  浏览/下载：583/171  |  提交时间：2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK  
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 2, 页码: 218-233
作者:  Hu, Weiming;  Gao, Jun;  Li, Bing;  Wu, Ou;  Du, Junping;  Maybank, Stephen
收藏  |  浏览/下载：323/0  |  提交时间：2020/03/30
Anomaly detection  Kernel  Estimation  Saliency detection  Visualization  Data models  Computational modeling  Anomaly detection  local kernel density estimation  weighted neighborhood density  hierarchical context-based local kernel regression