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Efficient MSPSO Sampling for Object Detection and 6-D Pose Estimation in 3-D Scenes 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 10, 页码: 10281-10291
作者:  Xing, Xuejun;  Guo, Jianwei;  Nan, Liangliang;  Gu, Qingyi;  Zhang, Xiaopeng;  Yan, Dong-Ming
Adobe PDF(4863Kb)  |  收藏  |  浏览/下载：301/12  |  提交时间：2022/06/10
Pose estimation  Three-dimensional displays  Robustness  Robot kinematics  Image segmentation  Deep learning  Clustering algorithms  3-D point cloud  6-D pose estimation  multisubpopulation particle swarm optimization (MSPSO)  point pair features (PPF)  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：451/104  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 期号: 1, 页码: 5072-5084
作者:  Guo, Jianwei;  Xing, Xuejun;  Quan, Weize;  Yan, Dong-Ming;  Gu, Qingyi;  Liu, Yang;  Zhang, Xiaopeng
Adobe PDF(8313Kb)  |  收藏  |  浏览/下载：235/10  |  提交时间：2021/08/15
Three-dimensional displays  Pose estimation  Shape  Object detection  Feature extraction  Object recognition  Transmission line matrix methods  6D pose estimation  3D object recognition  point pair features  3D point cloud  
NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 6, 页码: 2213-2222
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2134Kb)  |  收藏  |  浏览/下载：387/80  |  提交时间：2020/08/03
Fluorescence molecular tomography  NIR-II  NIR-I  GWNFL method