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Context and Difference Enhancement Network for Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15
作者:  Song, Dawei;  Dong, Yongsheng;  Li, Xuelong
Adobe PDF(5123Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/12/02
Transformers  Feature extraction  Context modeling  Task analysis  Remote sensing  Data mining  Semantics  Change detection (CD)  content difference enhancement  global context  remote sensing  
Reconstructing of embedded high-aspect-ratio nano-voids generated by ultrafast laser bessel beams 期刊论文
Micromachines, 2020, 卷号: 11, 期号: 7
作者:  Chen, Tianqu;  Zhang, Guodong;  Wang, Yishan;  Li, Xuelong;  Stoian, Razvan;  Cheng, Guanghua
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：178/1  |  提交时间：2020/08/21
bessel beam  femtosecond laser  picosecond laser  fused silica  micro-nano hole  high-aspect-ratio  tomography  
Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations 期刊论文
PHYSICS OF LIFE REVIEWS, 2019, 卷号: 29, 页码: 1-26
作者:  Gao, Chao;  Liu, Chen;  Schenz, Daniel;  Li, Xuelong;  Zhang, Zili;  Jusup, Marko;  Wang, Zhen;  Beekman, Madeleine;  Nakagaki, Toshiyuki
Adobe PDF(4064Kb)  |  收藏  |  浏览/下载：166/0  |  提交时间：2019/09/24
Modelling and computation  Bio-inspired computing  Physarum polycephalum  Intelligent behaviour  Complex problem solving  
Physarum inspires research beyond biomimetic algorithms Reply to comments on "Does being multi-headed make you better at solving problems?" 期刊论文
PHYSICS OF LIFE REVIEWS, 2019, 卷号: 29, 页码: 51-54
作者:  Gao, Chao;  Liu, Chen;  Schenz, Daniel;  Li, Xuelong;  Zhang, Zili;  Jusup, Marko;  Wang, Zhen;  Beekman, Madeleine;  Nakagaki, Toshiyuki
Adobe PDF(425Kb)  |  收藏  |  浏览/下载：176/0  |  提交时间：2019/09/24
Evolution  Biomimicry  Memory  Learning  Minimal cognition  
Long-Short-Term Features for Dynamic Scene Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 4, 页码: 1038-1047
作者:  Huang, Yuanjun;  Cao, Xianbin;  Wang, Qi;  Zhang, Baochang;  Zhen, Xiantong;  Li, Xuelong
Adobe PDF(2016Kb)  |  收藏  |  浏览/下载：253/0  |  提交时间：2019/04/30
Dynamic scene classification  long-short term feature  long term frequency feature  
Query-aware sparse coding for web multi-video summarization 期刊论文
Information Sciences, 2019, 卷号: 478, 页码: 152-166
作者:  Ji, Zhong;  Ma, Yaru;  Pang, Yanwei;  Li, Xuelong
Adobe PDF(3035Kb)  |  收藏  |  浏览/下载：203/0  |  提交时间：2018/12/20
Matrix-Regularized Multiple Kernel Learning via (r, p) Norms 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4997-5007
作者:  Han, Yina;  Yang, Yixin;  Li, Xuelong;  Liu, Qingyu;  Ma, Yuanliang
Adobe PDF(1836Kb)  |  收藏  |  浏览/下载：149/0  |  提交时间：2018/10/23
Generalization Bound  Matrix Regularization  Multiple Kernel Learning (Mkl)  Support Vector Machine (Svm)  
Image hashing with color vector angle 期刊论文
NEUROCOMPUTING, 2018, 卷号: 308, 页码: 147-158
作者:  Tang, Zhenjun;  Li, Xuelong;  Zhang, Xianquan;  Zhang, Shichao;  Dai, Yumin;  Zhang, SC (reprint author), Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Guilin 541004, Peoples R China.
Adobe PDF(5020Kb)  |  收藏  |  浏览/下载：249/0  |  提交时间：2018/07/13
Image Hashing  Hashing Function  Color Vector Angle  Color Histogram  
Video Synopsis in Complex Situations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 8, 页码: 3798-3812
作者:  Li, Xuelong;  Wang, Zhigang;  Lu, Xiaoqiang;  Lu, XQ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(6834Kb)  |  收藏  |  浏览/下载：821/1  |  提交时间：2018/05/14
Video Synopsis  Surveillance Video  Complex Scenes  Crowded Scenes  
Secure and privacy-preserving data sharing in the cloud based on lossless image coding 期刊论文
SIGNAL PROCESSING, 2018, 卷号: 148, 页码: 91-101
作者:  Khelifi, Fouad;  Brahimi, Tahar;  Han, Jungong;  Li, Xuelong
Adobe PDF(1448Kb)  |  收藏  |  浏览/下载：133/0  |  提交时间：2018/12/11
Reversible Data Hiding  Encryption  Confidentiality  Security  Capacity  Privacy-preserving Cloud