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Multi-level semantic fusion network for Chinese medical named entity recognition 期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 133, 页码: 8
作者:  Shi, Jintong;  Sun, Mengxuan;  Sun, Zhengya;  Li, Mingda;  Gu, Yifan;  Zhang, Wensheng
收藏  |  浏览/下载：164/0  |  提交时间：2023/01/09
Medical named entity recognition  Multi-level semantic fusion  Syntactic dependency parsing  Graph neural network  
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：266/4  |  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)  
Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Ding, Kun;  He, Guojin;  Gu, Huxiang;  Zhong, Zisha;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：263/0  |  提交时间：2022/02/16
Convolution  Head  Training  Testing  Object detection  Feature extraction  Real-time systems  Aerial images  object detection  sparse convolution  spatial sparsity  
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：205/2  |  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  
Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao;  Meng, Yiping;  Xu, Pengfei;  Oliver, Deussen;  Xu, Changsheng
浏览  |  Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：307/70  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation  
Joint spatial-temporal attention for action recognition 期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 112, 页码: 226-233
作者:  Yu, Tingzhao;  Guo, Chaoxu;  Wang, Lingfeng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：229/0  |  提交时间：2019/12/16
Action Recognition  Spatial-temporal Attention  Two-stage  
An FPGA-Based Ultra-High-Speed Object Detection Algorithm with Multi-Frame Information Fusion 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 17, 页码: 16
作者:  Long, Xianlei;  Hu, Shenhua;  Hu, Yiming;  Gu, Qingyi;  Ishii, Idaku
Adobe PDF(3490Kb)  |  收藏  |  浏览/下载：378/48  |  提交时间：2019/12/16
ultra-high-speed vision  object detection  field-programmable gate array  histogram of oriented gradient  multi-frame information fusion model  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(18774Kb)  |  收藏  |  浏览/下载：447/114  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
Pseudo low rank video representation 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 期号: 1, 页码: 50-59
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Guo, Chaoxu;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1456Kb)  |  收藏  |  浏览/下载：618/183  |  提交时间：2019/01/08
Pseudo low rank  Data driven  Low resolution  Action recognition  
Deep generative video prediction 期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 110, 期号: 1, 页码: 58-65
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：327/68  |  提交时间：2018/10/10
Video Prediction  Two Stream  Adversarial Training  Convlstm