373 citations
- Shenzhen UniversityCN8 papers
- Chinese University of Hong Kong, ShenzhenCN5 papers
- Anshan Normal UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Institute for General Artificial IntelligenceCN1 paper
- China Three Gorges UniversityCN1 paper
- Chinese University of Hong KongHK1 paper
- City University of Hong KongHK1 paper
- Georgia Institute of TechnologyUS1 paper
- Guangdong Institute of Intelligent ManufacturingCN1 paper
- Hanshan Normal UniversityCN1 paper
- IBM Research - Thomas J. Watson Research CenterUS1 paper
14 papers
EduChain: A Blockchain-based Education Data Management System
Yihan Liu, Ke Li, Zihao Huang +3
The predominant centralized paradigm in educational data management currently suffers from several critical issues such as vulnerability to malicious tampering, a high prevalence o…
Precise Facial Landmark Detection by Reference Heatmap Transformer
Jun Wan, Jun Liu, Jie Zhou +5
Most facial landmark detection methods predict landmarks by mapping the input facial appearance features to landmark heatmaps and have achieved promising results. However, when the…
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images
Qinglin Li, Guoping Qiu
Image clustering is a very useful technique that is widely applied to various areas, including remote sensing. Recently, visual representations by self-supervised learning have gre…
Fusing Multiscale Texture and Residual Descriptors for Multilevel 2D Barcode Rebroadcasting Detection
Anselmo Ferreira, Changcheng Chen, Mauro Barni
Nowadays, 2D barcodes have been widely used for advertisement, mobile payment, and product authentication. However, in applications related to product authentication, an authentic…
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin +3
With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classif…
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
Though widely used in image classification, convolutional neural networks (CNNs) are prone to noise interruptions, i.e. the CNN output can be drastically changed by small image noi…