全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
中外文文献  中文文献  外文文献
作者:Yong-Jin Liu , Charlie C. L. Wang ...
来源:[J].The Visual Computer(IF 0.909), 2017, Vol.33 (6-8), pp.949-960Springer
摘要:Recently, 3D printing has become a powerful tool for personal fabrication. However, the price of some materials is still high which limits its applications in home users. To optimize the volume of the model, while not largely affecting the strength of the objects, researchers pro...
作者:Meijiao Liu , Yong-Jin Liu
来源:[J].Computational Optimization and Applications(IF 1.278), 2017, Vol.66 (2), pp.309-326Springer
摘要:Abstract(#br)This paper focuses on a singly linearly constrained class of convex quadratic programs with box-like constraints. We propose a new fast algorithm based on parametric approach and secant approximation method to solve this class of quadratic problems. We design efficie...
作者:Yong-Jin Liu , Wencheng Wang ...
来源:[J].Computer-Aided Design(IF 1.264), 2018, Vol.102, pp.1-11Elsevier
摘要:Abstract(#br)This paper proposes a novel method for decorating 3D surfaces using a new type of vector graphics, called Poisson Vector Graphics (PVG). Unlike other existing techniques that frequently require local/global parameterization, our approach advocates a parameterization-...
作者:Yong-Jin Liu , Wen-Jing Yan ...
来源:[J].Neurocomputing(IF 1.634), 2018Elsevier
摘要:Abstract(#br)Micro-expression is one of important clues for detecting lies. Its most outstanding characteristics include short duration and low intensity of movement. Therefore, video clips of high spatial-temporal resolution are much more desired than still images to provid...
作者:Yong-Jin Liu , Jianmin Zheng ...
来源:[J].Computer-Aided Design(IF 1.264), 2019, Vol.114, pp.73-81Elsevier
摘要:Abstract(#br)Computing energy-minimizing paths that are general for different energy forms is a common task in science and engineering. Conventional methods adopt numerical solvers, such as conjugate gradient or quasi-Newton. While these are efficient, the results are highly sens...
作者:... Juyong Zhang , Anxiang Zeng , Yong-Jin Liu
来源:[J].Computer-Aided Design(IF 1.264), 2019, Vol.115, pp.111-121Elsevier
摘要:Abstract(#br)This paper introduces a method for transferring colors between portrait images. Using a trained neural network to extract facial mask, we vectorize each image with a set of sparse diffusion curves to encode the low-frequency colors, and use the Laplacian of residual ...
作者:Yong-Jin Liu , Dian Fan ...
来源:[J].Information Processing Letters(IF 0.488), 2017, Vol.124, pp.10-14Elsevier
摘要:Abstract(#br)Computing geodesic distances on 2-manifold meshes is a fundamental problem in computational geometry. To date, two notable classes of exact algorithms, namely, the Mitchell–Mount–Papadimitriou (MMP) algorithm and the Chen–Han (CH) algorithm, have been widel...
作者:Yong-Jin Liu , Su-Jing Wang ...
来源:[J].Neurocomputing(IF 1.634), 2016, Vol.173, pp.2041-2048Elsevier
摘要:Abstract(#br)Humans׳ remarkable capacity on rapid natural scene categorization has been widely studied in neuroscience. Recently, a functional MRI (fMRI) study showed that in human brain, decoding of natural scenes from line drawings was very similar to those from color phot...
作者:Yong-Jin Liu , Kai Tang
来源:[J].Journal of Computational and Applied Mathematics(IF 0.989), 2015, Vol.274, pp.23-34Elsevier
摘要:Abstract(#br)Several sampling criteria had been proposed for C 2 smooth surfaces such that the reconstructed meshes from point samples are homeomorphic to the original surfaces. In this paper, based on a widely used sample criterion, we present proofs that give the upper and lowe...
作者:Yong-Jin Liu , Matt Tianfu Wu ...
来源:[J].Graphical Models(IF 0.697), 2014, Vol.76 (5), pp.507-521Elsevier
摘要:Abstract(#br)The 2.1D sketch is a layered image representation, which assigns a partial depth ordering of over-segmented regions in a monocular image. This paper presents a global optimization framework for inferring the 2.1D sketch from a monocular image. Our method only uses ov...

我们正在为您处理中,这可能需要一些时间,请稍等。

资源合作:cnki.scholar@cnki.net, +86-10-82896619   意见反馈:scholar@cnki.net

×