Institution
Hong Kong Baptist University
Education•Hong Kong, China•
About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Population & China. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.
Topics: Population, China, Catalysis, Cluster analysis, Organic solar cell
Papers published on a yearly basis
Papers
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TL;DR: In this article, the concentrations of six heavy metals, copper (Cu), zinc (Zn), lead (Pb), nickel (Ni), cadmium (Cd) and chromium (Cr), in sediments and fish sampled from inland waters of Hong Kong were presented.
126 citations
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TL;DR: Lead concentrations in both soil and rice plant were far above the corresponding tolerable levels, and Pb in this area might pose a potential health risk to the local population.
126 citations
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TL;DR: It is demonstrated that the amyloid fibrillation can be inhibited by quenching the nucleation and elongation processes with a low concentration of water dispersed N-acetyl-L-cysteine capped quantum dots (NAC-QDs).
126 citations
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24 Aug 2021
TL;DR: In this article, the authors overview graph spectral techniques in graph signal processing (GSP) specifically for image/video processing, including image compression, image restoration, image filtering, and image segmentation.
Abstract: Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks). Though a digital image contains pixels that reside on a regularly sampled 2-D grid, if one can design an appropriate underlying graph connecting pixels with weights that reflect the image structure, then one can interpret the image (or image patch) as a signal on a graph, and apply GSP tools for processing and analysis of the signal in graph spectral domain. In this paper, we overview recent graph spectral techniques in GSP specifically for image/video processing. The topics covered include image compression, image restoration, image filtering, and image segmentation.
126 citations
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11 Nov 2010TL;DR: Experimental results show that the proposed method outperforms the existing methods, in terms of image quality and recognition accuracy, as well as face super-resolution methods.
Abstract: This paper addresses the very low resolution (VLR) problem in face recognition in which the resolution of face image to be recognized is lower than 16×16. The VLR problem happens in many surveillance camera-based applications and existing face recognition algorithms are not able to give satisfactory performance on VLR face image. While face super-resolution (SR) methods can be employed to enhance the resolution of the images, the existing learning-based face SR methods do not perform well on such a very low resolution face image. To overcome this problem, this paper models the SR problem under VLR case as a regression problem with two constraints. First, a new data constraint is design to perform the error measurement on high resolution image space which provides more detailed and discriminative information. Second, discriminative constraint is proposed and incorporated in the training stage so that the reconstructed HR image has higher discriminability. CMU-PIE, FRGC and surveillant camera face (SCface) databases are selected for experiments. Experimental results show that the proposed method outperforms the existing methods, in terms of image quality and recognition accuracy.
126 citations
Authors
Showing all 7946 results
Name | H-index | Papers | Citations |
---|---|---|---|
Weihong Tan | 140 | 892 | 67151 |
Bin Liu | 138 | 2181 | 87085 |
Jun Lu | 135 | 1526 | 99767 |
John P. Giesy | 114 | 1162 | 62790 |
Qiang Yang | 112 | 1117 | 71540 |
Ming Hung Wong | 103 | 710 | 39738 |
Wei Wang | 95 | 3544 | 59660 |
Jianhua Zhang | 92 | 415 | 28085 |
Xiaojun Wu | 91 | 1088 | 31687 |
Guibin Jiang | 88 | 850 | 34633 |
Shu Tao | 87 | 639 | 27304 |
Paul K.S. Lam | 87 | 485 | 25614 |
Cheng-Yong Su | 87 | 581 | 32322 |
Hai-Long Jiang | 86 | 198 | 30946 |
Baowen Li | 83 | 477 | 23080 |