Results 1 to 10 of about 1,342,327 (268)

Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised Learning on Graphs

Remote Sensing, 2023
Graph convolutional networks (GCNs) are neural network frameworks for machine learning on graphs. They can simultaneously perform end-to-end learning on the attribute information and the structure information of graph data.
Nan Jia, Xiaolin Tian, Wenxing Gao, Licheng Jiao   +3 more
doaj   +1 more source

Tracking with spatial constrained coding

IET Computer Vision, 2015
A video tracking method based on spatial constrained coding (SCC) is proposed in this study. To characterise local image structure information, the dense scale‐invariant feature transform (SIFT) descriptor is extracted for each pixel in the image.
Xiaolin Tian, Licheng Jiao, Fandi Zhao, Xiaohua Zhang   +3 more
doaj   +1 more source

Perceptual Training in Ice Hockey: Bridging the Eyes-Puck Gap Using Virtual Reality

Sports Medicine - Open
Background Some cognitive and perceptual determinants of sports performance can be arduous to train using conventional methods. In ice-hockey, this is the case for the players’ ability to identify the largest exposed area (LEA), i.e., the goal area that ...
Jean-Luc Bloechle, Julien Audiffren, Quentin Sauthier, Quentin Mertenat, Yohann Waeber, David Aebischer, Jean-Pierre Bresciani   +6 more
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Remote Sensing Video Tracking: Current Status, Challenges, and Future

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the rapid advancement of remote sensing technology, the acquisition and processing of remote sensing video data, including high-resolution satellite, hyperspectral, and synthetic aperture radar video, have become key research areas in remote sensing.
Fang Liu, Jiahao Wang, Licheng Jiao, Jie Zhang, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu, Wenping Ma, Shuang Wang, Shuyuan Yang, Xiangrong Zhang, Yaoyang Du, Qianyue Bao, Long Sun, Biao Hou   +16 more
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A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification

Remote Sensing, 2020
High-resolution optical remote sensing image classification is an important research direction in the field of computer vision. It is difficult to extract the rich semantic information from remote sensing images with many objects.
Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun   +6 more
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A Wearable Bracelet for Simultaneous Monitoring of Transcutaneous Carbon Dioxide and Pulse Rates

Advanced Electronic Materials
Daily monitoring of psychological parameters, encompassing chemical and physical signals, has become increasingly valuable for the management of chronic diseases.
Yaoxuan Cui, Qingpeng Cao, Xubin Zheng, Hao Dong, Jin Wang, Feng Xu, Libin Qian, Di Wang   +7 more
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SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification

IEEE Access, 2020
Polarimetric synthetic aperture radar (PolSAR) image classification has been widely applied in many fields, such as agriculture, meteorology and military.
Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu   +6 more
doaj   +1 more source

A Survey of Deep Learning-Based Object Detection

IEEE Access, 2019
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in people’s life, such as monitoring security, autonomous driving and so on, with the purpose of locating instances of ...
Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu   +6 more
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Semi-Supervised Node Classification With Discriminable Squeeze Excitation Graph Convolutional Networks

IEEE Access, 2020
In recent years, Graph Convolutional Networks (GCNs) have been increasingly and widely used in graph data representation and semi-supervised learning. GCNs can reveal and dig deep into irregular data with spatial topological structure.
Nan Jia, Xiaolin Tian, Yang Zhang, Fengge Wang   +3 more
doaj   +1 more source

Multi-Scale Fused SAR Image Registration Based on Deep Forest

Remote Sensing, 2021
SAR image registration is a crucial problem in SAR image processing since the registration results with high precision are conducive to improving the quality of other problems, such as change detection of SAR images. Recently, for most DL-based SAR image
Shasha Mao, Jinyuan Yang, Shuiping Gou, Licheng Jiao, Tao Xiong, Lin Xiong   +5 more
doaj   +1 more source