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A pupil detection method based on Unet with attention module and shape-prior loss 会议论文
AOPC 2022: Optical Spectroscopy and Imaging, Virtual, Online, China, 2022-12-18
作者:  Song, Wenhui;  Wang, Hui;  Gui, Yawei;  Dang, Ruochen;  Hu, Bingliang;  Wang, Quan
Adobe PDF(530Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2023/03/13
pupil detection  Infrared and visible light images  Unet  attention mechanism  shape-prior loss  data augmentation  
Expression Recognition Algorithm Based on Infrared Image 会议论文
Multimedia Technology and Enhanced Learning - 3rd EAI International Conference, ICMTEL 2021, Proceedings, Virtual, Online, 2021-04-08
作者:  Cui, Ying;  Qiu, Shi
Adobe PDF(1010Kb)  |  收藏  |  浏览/下载：164/0  |  提交时间：2021/10/12
Infrared image  Face  Multi-projection  Level set  Identify  
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载：282/0  |  提交时间：2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information  
A Survey of Human Action Analysis in HRI Applications 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 7, 页码: 2114-2128
作者:  Ji, Yanli;  Yang, Yang;  Shen, Fumin;  Shen, Heng Tao;  Li, Xuelong
Adobe PDF(2113Kb)  |  收藏  |  浏览/下载：199/4  |  提交时间：2020/07/20
Human-robot interaction  action recognition  action prediction  action imitation  datasets  robots  
Detection of ships in inland river using high-resolution optical satellite imagery based on mixture of deformable part models 期刊论文
Journal of Parallel and Distributed Computing, 2019, 卷号: 132, 页码: 1-7
作者:  Song, Pengfei;  Qi, Lei;  Qian, Xueming;  Lu, Xiaoqiang
Adobe PDF(3011Kb)  |  收藏  |  浏览/下载：184/1  |  提交时间：2019/07/08
Inland river  Ship detection  Optical satellite imagery  Deformable part model  
Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 11, 页码: 5248-5260
作者:  Lu, Yuwu;  Yuan, Chun;  Zhu, Wenwu;  Li, Xuelong
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：275/1  |  提交时间：2018/09/11
Nmf  Structurally Incoherent  Low-rank  Image Classification  
Discovery of trading points based on Bayesian modeling of trading rules 期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2018, 卷号: 21, 期号: 6, 页码: 1473-1490
作者:  Huang, Qinghua;  Kong, Zhoufan;  Li, Yanshan;  Yang, Jie;  Li, Xuelong
Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：139/0  |  提交时间：2018/12/03
Biclusters  Naive Bayes Method  Adaboost  Stock Prediction  
A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features 期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2018, 卷号: 21, 期号: 6, 页码: 1491-1504
作者:  Huang, Qinghua;  Zhang, Fan;  Li, Xuelong
Adobe PDF(749Kb)  |  收藏  |  浏览/下载：184/1  |  提交时间：2018/12/03
Ultrasonography Cad System  Breast Tumors  Bi-rads  Decision Tree  
Extreme-constrained spatial-spectral corner detector for image-level hyperspectral image classification 期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 109, 页码: 110-119
作者:  Li, Yanshan;  Xu, Jianjie;  Xia, Rongjie;  Huang, Qinghua;  Xie, Weixin;  Li, Xuelong;  Huang, QH (reprint author), Shenzhen Univ, Coll Informat Engn, ATR Natl Key Lab Def Technol, Shenzhen 518060, Peoples R China.
Adobe PDF(2306Kb)  |  收藏  |  浏览/下载：317/1  |  提交时间：2018/06/21
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 79, 页码: 65-78
作者:  Yan, Yijun;  Ren, Jinchang;  Sun, Genyun;  Zhao, Huimin;  Han, Junwei;  Li, Xuelong;  Marshall, Stephen;  Zhan, Jin;  Ren, Jinchang (jinchang.ren@strath.ac.uk)
Adobe PDF(3187Kb)  |  收藏  |  浏览/下载：320/1  |  提交时间：2018/04/19
Background Connectivity  Gestalt Laws Guided Optimization  Image Saliency Detection  Feature Fusion  Human Vision Perception