Xiaogang Jin
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Explore the profile of Xiaogang Jin including associated specialties, affiliations and a list of published articles.
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Articles
42
Citations
141
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Recent Articles
11.
Liang Z, Guo K, Li X, Jin X, Shen J
IEEE Trans Image Process
. 2021 Jul;
31:585-597.
PMID: 34310301
Separating the dominant person from the complex background is significant to the human-related research and photo-editing based applications. Existing segmentation algorithms are either too general to separate the person region...
12.
Zhou Z, Zhang L, Li J, Shi Y, Wu Z, Zheng H, et al.
Nanoscale
. 2020 Dec;
13(2):953-967.
PMID: 33367434
Polyelectrolytes such as polyaspartic acid (PAsp) are critical in biomimetic mineralization as stabilizers of amorphous calcium phosphate (ACP) precursors and as nucleation inhibitors similar to non-collagenous proteins (NCPs). Nevertheless, the...
13.
Chen Z, Wu R, Guo S, Liu X, Fu H, Jin X, et al.
Soft Robot
. 2020 Jul;
8(2):226-239.
PMID: 32668188
Three-dimensional (3D) reconstruction of human body has wide applications, for example, for customized design of clothes and digital avatar production. Existing vision-based systems for 3D body reconstruction require users to...
14.
Min Y, Jiang T, Jin C, Li Q, Jin X
R Soc Open Sci
. 2019 Dec;
6(11):190868.
PMID: 31827834
The filter bubble is an intermediate structure to provoke polarization and echo chambers in social networks, and it has become one of today's most urgent issues for social media. Previous...
15.
Ren J, Xiang W, Xiao Y, Yang R, Manocha D, Jin X
IEEE Trans Vis Comput Graph
. 2019 Oct;
27(3):1953-1966.
PMID: 31613770
Interactive multi-agent simulation algorithms are used to compute the trajectories and behaviors of different entities in virtual reality scenarios. However, current methods involve considerable parameter tweaking to generate plausible behaviors....
16.
Dong X, Shen J, Wu D, Guo K, Jin X, Porikli F
IEEE Trans Image Process
. 2019 Feb;
28(7):3516-3527.
PMID: 30762546
In the same vein of discriminative one-shot learning, Siamese networks allow recognizing an object from a single exemplar with the same class label. However, they do not take advantage of...
17.
Shen J, Dong X, Peng J, Jin X, Shao L, Porikli F
IEEE Trans Neural Netw Learn Syst
. 2019 Jan;
30(9):2637-2649.
PMID: 30624228
In this paper, we propose a framework of maximizing quadratic submodular energy with a knapsack constraint approximately, to solve certain computer vision problems. The proposed submodular maximization problem can be...
18.
Chao Q, Deng Z, Xiao Y, He D, Miao Q, Jin X
IEEE Trans Vis Comput Graph
. 2018 Oct;
26(3):1490-1501.
PMID: 30295621
Aiming at objectively measuring the realism of virtual traffic flows and evaluating the effectiveness of different traffic simulation techniques, this paper introduces a general, dictionary-based learning method to evaluate the...
19.
Jin C, Yin C, Jin X, Min Y, Li Y, Chen N, et al.
Sci Rep
. 2018 Sep;
8(1):14423.
PMID: 30258094
The dynamics of competing opinions on networks has attracted multi-disciplinary research. Most modelling approaches assume uniform or heterogeneous behaviour among all individuals, while the role of distinctive group behaviour is...
20.
Lu S, Jin X, Jaffer A, Gao F, Mao X
IEEE Comput Graph Appl
. 2018 Aug;
PMID: 30113892
Years of research have been devoted to computer-generated two-dimensional marbling. However, three-dimensional marbling has yet to be explored. In this paper, we present mathematical marbling of three-dimensional solids which supports...