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CMID: Crossmodal Image Denoising via Pixel-Wise Deep Reinforcement Learning 期刊论文
Sensors, 2024, 卷号: 24, 期号: 1
作者:  Guo, Yi;  Gao, Yuanhang;  Hu, Bingliang;  Qian, Xueming;  Liang, Dong
Adobe PDF(1987Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2024/02/07
deep reinforcement learning  pixel-wise image processing  crossmodal image denoising  infrared image denoising  terahertz image denoising  
Multi-Level Alignment Network for Cross-Domain Ship Detection 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 10
作者:  Xu, Chujie;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(9450Kb)  |  收藏  |  浏览/下载：111/0  |  提交时间：2022/06/29
ship detection  domain adaptation  convolutional neural network  synthetic aperture radar  
Offline Signature Authentication Algorithm Based on the Fuzzy Set 期刊论文
Mathematical Problems in Engineering, 2021, 卷号: 2021
作者:  Qiu, Shi;  Fei, Fengchang;  Cui, Ying
Adobe PDF(1422Kb)  |  收藏  |  浏览/下载：163/0  |  提交时间：2021/04/21
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：201/4  |  提交时间：2020/07/20
Human-robot interaction  action recognition  action prediction  action imitation  datasets  robots  
Restoration Method of Hadamard Coding Spectral Imager 期刊论文
APPLIED SPECTROSCOPY, 2020, 卷号: 74, 期号: 5, 页码: 583-596
作者:  Tang Xingjia;  Xu Zongben;  Li Libo;  Wang Shuang;  Hu Bingliang;  Wang Feng
Adobe PDF(1032Kb)  |  收藏  |  浏览/下载：194/5  |  提交时间：2020/05/29
Hadamard coding  spectral imaging  error analysis  reconstruction method  push-sweep  
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 8, 页码: 5535-5548
作者:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  收藏  |  浏览/下载：356/3  |  提交时间：2019/08/13
Convolutional neural networks (CNNs)  hierarchical robust CNN (HRCNN)  hierarchical spatial semantic (HSS)  object detection  remote sensing images (RSIs)  rotation and scaling robust enhancement (RSRE)  
Spatiotemporal interest point detector exploiting appearance and motion-variation information 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 3
作者:  Li, Yanshan;  Li, Qingteng;  Huang, Qinghua;  Xia, Rongjie;  Li, Xuelong
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：179/0  |  提交时间：2019/07/19
spatiotemporal interest point detector  spatiotemporal interest point  geometric algebra  video  
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：322/1  |  提交时间：2018/04/19
Background Connectivity  Gestalt Laws Guided Optimization  Image Saliency Detection  Feature Fusion  Human Vision Perception  
Convolution in Convolution for Network in Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1587-1597
作者:  Pang, Yanwei;  Sun, Manli;  Jiang, Xiaoheng;  Li, Xuelong;  Pang, YW (reprint author), Tianjin Univ, Sch Elect & Informat Enginnering, Tianjin 300072, Peoples R China.
Adobe PDF(2493Kb)  |  收藏  |  浏览/下载：209/1  |  提交时间：2018/05/14
Convolution In Convolution (Cic)  Convolutional Neural Networks (Cnns)  Image Recognition  Network In Network (nIn)  
Efficient kNN Classification With Different Numbers of Nearest Neighbors 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1774-1785
作者:  Zhang, Shichao;  Li, Xuelong;  Zong, Ming;  Zhu, Xiaofeng;  Wang, Ruili;  Zhu, XF (reprint author), Guangxi Normal Univ, Coll Comp Sci & Informat Technol, Guangxi Key Lab MIMS, Guilin 541004, Peoples R China.
Adobe PDF(2775Kb)  |  收藏  |  浏览/下载：730/1  |  提交时间：2018/05/14
Decision Tree  k Nearest Neighbor (Knn) Classification  Sparse Coding