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Facial Feature Model for a Portrait Video Stylization

Dongxue Liang, Kyoungju Park, Przemyslaw Krompiec
2018 Symmetry  
With the advent of the deep learning method, portrait video stylization has become more popular. In this paper, we present a robust method for automatically stylizing portrait videos that contain small human faces. By extending the Mask Regions with Convolutional Neural Network features (R-CNN) with a CNN branch which detects the contour landmarks of the face, we divided the input frame into three regions: the region of facial features, the region of the inner face surrounded by 36 face contour
more » ... landmarks, and the region of the outer face. Besides keeping the facial features region as it is, we used two different stroke models to render the other two regions. During the non-photorealistic rendering (NPR) of the animation video, we combined the deformable strokes and optical flow estimation between adjacent frames to follow the underlying motion coherently. The experimental results demonstrated that our method could not only effectively reserve the small and distinct facial features, but also follow the underlying motion coherently.
doi:10.3390/sym10100442 fatcat:xm5ix2jir5ehnozydcn7gedona

DEM Parameter Calibration of Maize Seeds and the Effect of Rolling Friction

Long Zhou, Jianqun Yu, Liusuo Liang, Yang Wang, Yajun Yu, Dongxu Yan, Kai Sun, Ping Liang
2021 Processes  
Taking Liangyu 99 as an example, Figure 7 . 7 Influence of coefficient of rolling friction between seed particles on piling angle for three varieties: (a) Liang-yu99, (b) Xianyu 335 and (c) Zhengda 999  ... 
doi:10.3390/pr9060914 fatcat:6xl6ethpybcn3dhpuplh7vo3pq

Deformable strokes towards temporally coherent video painting

Przemyslaw Krompiec, Kyoungju Park, Dongxue Liang, Changmin Lee
2016 The Visual Computer  
Finally, the last aspect focuses on creating an automatic and coherent animation, where for example Liang and Park et al.  ... 
doi:10.1007/s00371-016-1256-6 fatcat:ivjjcj2asnbsbclmb3jsuakbrq

Decoding Visual Motions from EEG Using Attention-Based RNN

Dongxu Yang, Yadong Liu, Zongtan Zhou, Yang Yu, Xinbin Liang
2020 Applied Sciences  
The main objective of this paper is to use deep neural networks to decode the electroencephalography (EEG) signals evoked when individuals perceive four types of motion stimuli (contraction, expansion, rotation, and translation). Methods for single-trial and multi-trial EEG classification are both investigated in this study. Attention mechanisms and a variant of recurrent neural networks (RNNs) are incorporated as the decoding model. Attention mechanisms emphasize task-related responses and
more » ... ce redundant information of EEG, whereas RNN learns feature representations for classification from the processed EEG data. To promote generalization of the decoding model, a novel online data augmentation method that randomly averages EEG sequences to generate artificial signals is proposed for single-trial EEG. For our dataset, the data augmentation method improves the accuracy of our model (based on RNN) and two benchmark models (based on convolutional neural networks) by 5.60%, 3.92%, and 3.02%, respectively. The attention-based RNN reaches mean accuracies of 67.18% for single-trial EEG decoding with data augmentation. When performing multi-trial EEG classification, the amount of training data decreases linearly after averaging, which may result in poor generalization. To address this deficiency, we devised three schemes to randomly combine data for network training. Accordingly, the results indicate that the proposed strategies effectively prevent overfitting and improve the correct classification rate compared with averaging EEG fixedly (by up to 19.20%). The highest accuracy of the three strategies for multi-trial EEG classification achieves 82.92%. The decoding performance for the methods proposed in this work indicates they have application potential in the brain–computer interface (BCI) system based on visual motion perception.
doi:10.3390/app10165662 fatcat:x7xaftlfknfpnfhg66ohr4ubgu

Experimental Study on Prototype of Printed Circuit Heat Exchanger

Dongxu Zhang, Minfu Zhao, Peng Liang, Weiqing Li
2022 Frontiers in Energy Research  
The printed circuit heat exchanger (PCHE) is the key equipment of the supercritical carbon dioxide Brayton cycle applied to sodium cooled fast reactor. It is required that the equipment not only can operate in high temperature and high pressure environment but also has high efficiency and compact structure. The China Institute of Atomic Energy has carried out the research on a sodium-supercritical carbon dioxide PCHE and has designed and manufactured a heat exchanger prototype with the heat
more » ... sfer power of 50 kW. In addition, the supercritical carbon dioxide test loop and sodium test loop have been built to test the performance of the heat exchanger prototype. The conclusions are as follows: 1) The heat exchange power of the heat exchanger under rated working condition is 54.2 kW, and the deviation is around 8%, which meets the design requirements; 2) With the increase of the flow ratio of sodium to carbon dioxide, the temperature difference at the high temperature end decreases, and the temperature difference at the low temperature end increases; 3) The change of flow rate of the carbon dioxide has a great influence on heat transfer power; 4) The total heat transfer coefficient of the heat exchanger increases with the increase of the pressure of carbon dioxide; when the pressure increases from 15.5 to 20 MPa, the total heat transfer coefficient increases by 12.8%.
doi:10.3389/fenrg.2022.835224 fatcat:2r4bgd4qdbg5lkhjysmfnailvy

Vortical superlattices in a gold nanorods' self-assembled monolayer

Yong Xie, Yujia Liang, Dongxue Chen, Xiaochun Wu, Luru Dai, Qian Liu
2014 Nanoscale  
Various vortical superlattices of gold nanorods were obtained by a controlled droplet evaporation method, suggesting the possible manipulation of the ultimate self-assembled superstructure by an organic liquid crystal template or microfluidic droplet.
doi:10.1039/c3nr05992h pmid:24513644 fatcat:akdx6mqbibb27ajcpucd2jxhpi

NLRP3 gene polymorphisms and expression in rheumatoid arthritis

Lin Cheng, Xintong Liang, Long Qian, Chaoyin Luo, Dongxu Li
2021 Experimental and Therapeutic Medicine  
The present study aimed to investigate the association between the single-nucleotide polymorphisms (SNPs) rs4612666 and rs10754558 in the NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) gene and the susceptibility to rheumatoid arthritis (RA) in a Han Chinese population. mRNA expression of NLRP3, apoptosis-associated speck-like protein (ASC), and caspase-1 were determined in peripheral blood mononuclear cells (PBMCs) and neutrophils using reverse-transcription quantitative PCR. The
more » ... lts demonstrated that the C allele at rs4612666 locus and the G allele at rs10754558 locus were associated with significantly increased risk of RA. A statistical significance was also revealed in the dominant model (CC+CT vs. TT: OR=1.549; 95% CI=1.120-2.144; and GG + GC vs. CC: OR=2.000; 95% CI=1.529-2.616; P<0.05). Additionally, the mRNA expression of NLRP3, ASC and caspase-1 in PBMCs and neutrophils derived from patients with RA were significantly upregulated compared with the controls. Furthermore, the mRNA levels of NLRP3, ASC and caspase-1 in PBMCs and neutrophils from patients with active RA were notably increased compared with patients in remission. NLRP3 expression was positively correlated with the levels of C-reaction protein, erythrocyte sedimentation rate and disease activity score of 28 joint counts. Overall, the current study indicated that the NLRP3 rs4612666 and rs10754558 loci were associated with susceptibility to RA. In addition, the results of the present study demonstrated that the high expression of NLRP3 could serve a critical role in the pathogenesis of RA.
doi:10.3892/etm.2021.10544 pmid:34504564 pmcid:PMC8383757 fatcat:dy4ne46375fh3hrnpgyr4uczde

SPEC application for achieving inelastic X-ray scattering experiment in the SSRF [article]

Xuying Lan, Ke Yang, Dongxu Liang, Shuai Yan, Chengwen Mao, Aiguo Li, Jie Wang
2015 arXiv   pre-print
In order to carry out inelastic X-ray scattering (IXS) experiment at BL15U1 beamline of Shanghai Synchrotron Radiation Facility (SSRF), the data acquisition and control system based on SPEC software has been developed. The IXS experimental method needs linkage control of monochromator, silicon drift detector (SDD) and ionization chamber on continuous segment-scan mode with variable step size, and gains the data of energy, spectrum and light intensity synchronously. A method is presented for
more » ... eving this function which was not realized only by using SSCAN of Experimental Physics and Industrial Control System (EPICS). This paper shows work details including control system description, SPEC configurations for EPICS devices, macro definitions and applications in the BL15U1. An IXS experiment was executed by using the SPEC control system, its results prove that the method is feasible to perform the experiment.
arXiv:1508.06726v1 fatcat:wakjczuawjczfd4ynvll3h3tdm

Feature pyramid U‐Net for retinal vessel segmentation

Yi‐Peng Liu, Xue Rui, Zhanqing Li, Dongxu Zeng, Jing Li, Peng Chen, Ronghua Liang
2021 IET Image Processing  
The retinal vessel is the only microvascular network that can be directly and non-invasively observed in humans. Cardiovascular and cerebrovascular diseases, such as diabetes, hypertension, can lead to structural changes of the retinal microvascular network. Therefore, it is of great significance to study effective retinal vessel segmentation methods and assist doctors in early diagnoses with quantitative results for vascular networks. In this study, we propose a novel convolutional neural
more » ... rk named feature pyramid U-Net (FPU-Net) that extracts multiscale representations by constructing two feature pyramids both on the encoder and the decoder of U-Net. In this representation, objects features with different size like micro-vessels and pathology will be fused for better vessel segmentation. The experimental results show that compared with state-of-the-art methods, FPU-Net is superior in terms of accuracy, sensitivity, F1-score, and area under the curve and capable of stronger domain generalisation across different datasets.
doi:10.1049/ipr2.12142 fatcat:bef6etvkljbhrpf3qwmkbrtj4y

High-precision speckle-tracking X-ray imaging with adaptive subset size choices

Naxi Tian, Hui Jiang, Aiguo Li, Dongxu Liang, Fucheng Yu
2020 Scientific Reports  
Speckle-tracking imaging has the advantages of simple setup and high-sensitivity to slowly varying phase gradients. Subset size choice is regarded as a trade-off problem for speckle-tracking X-ray imaging where one needs to balance the spatial resolution and accuracy, where the subset was defined as the region of interest of windowing choice for digital image correlation algorithm. An adaptive subset size choice method based on a Fourier transform for effectively detecting sample phase
more » ... on without foreknowledge of the sample structure is presented in this study. The speckle-tracking phase-contrast and the form of dark-field imaging based on this method have the advantages of (i) high resolution and time saving compared to large subset choice and (ii) partially improvement the influence from experimental noises, background fluctuations, and false signals compared to small subset choice at the same time. This method has proven to be particularly robust in the experimental condition of poor signal-to-noise ratio. The proposed method may be expanded to all speckle-based imaging methods and other imaging techniques based on the subset or window matching.
doi:10.1038/s41598-020-71158-9 pmid:32859971 fatcat:xmxoxfqmanhhvodoqqhdyj7o64

Mechanical and Dielectric Properties of Hot-Pressed Si3N4Ceramics with BaTiO3Addition

Hanqin LIANG, Jinwei YIN, Kaihui ZUO, Yongfeng XIA, Dongxu YAO, Yuping ZENG
2020 Journal of Inorganic Materials  
Si 3 N 4 ceramics with improved and tailorable dielectric constant are desirable for microwave dielectric substrate application in harsh environment. Effect of BaTiO 3 addition on the mechanical and dielectric properties of the hot-pressed Si 3 N 4 ceramics with Al 2 O 3 and Nd 2 O 3 as sintering additives were investigated. Relative density, flexural strength and Vickers' hardness of Si 3 N 4 ceramics all decreased, while indentation fracture toughness increased monotonically with the increase
more » ... of BaTiO 3 content. Flexural strength of Si 3 N 4 ceramics was higher than 600 MPa and dielectric constant of Si 3 N 4 ceramics increased to 9.26-11.50 when 5wt%-20wt% of BaTiO 3 was added. The dielectric loss was at the level of 10 -3 . The improvement of dielectric constant was attributed to the formation of TiN during hot pressing, as crystalline BaTiO 3 was not detected in the sintered samples. These findings can make a significant contribution to the new applications of Si 3 N 4 ceramics.
doi:10.15541/jim20200211 fatcat:gtqfnwhdafd4jlxoqyoj32kzna

Performance Analysis of Surface Reconstruction Algorithms in Vertical Scanning Interferometry Based on Coherence Envelope Detection

Dongxu Wu, Fusheng Liang, Chengwei Kang, Fengzhou Fang
2021 Micromachines  
Optical interferometry plays an important role in the topographical surface measurement and characterization in precision/ultra-precision manufacturing. An appropriate surface reconstruction algorithm is essential in obtaining accurate topography information from the digitized interferograms. However, the performance of a surface reconstruction algorithm in interferometric measurements is influenced by environmental disturbances and system noise. This paper presents a comparative analysis of
more » ... ee algorithms commonly used for coherence envelope detection in vertical scanning interferometry, including the centroid method, fast Fourier transform (FFT), and Hilbert transform (HT). Numerical analysis and experimental studies were carried out to evaluate the performance of different envelope detection algorithms in terms of measurement accuracy, speed, and noise resistance. Step height standards were measured using a developed interferometer and the step profiles were reconstructed by different algorithms. The results show that the centroid method has a higher measurement speed than the FFT and HT methods, but it can only provide acceptable measurement accuracy at a low noise level. The FFT and HT methods outperform the centroid method in terms of noise immunity and measurement accuracy. Even if the FFT and HT methods provide similar measurement accuracy, the HT method has a superior measurement speed compared to the FFT method.
doi:10.3390/mi12020164 pmid:33567494 pmcid:PMC7915951 fatcat:6ozpgqr5ibgphlj3smqixyklba

MicroRNA-7: expression and function in brain physiological and pathological processes

Juanjuan Zhao, Ya Zhou, Mengmeng Guo, Dongxu Yue, Chao Chen, Guiyou Liang, Lin Xu
2020 Cell & Bioscience  
MicroRNAs (miRNAs) are a class of small non-coding RNAs that regulate gene expression at the post-transcriptional level and play critical roles in regulating physiological function, and are becoming worldwide research hot spot in brain development and diseases. However, the exact value of miRNAs in brain physiological and pathological processes remain to be fully elucidated, which is vital for the application of miRNAs as diagnostic, prognostic, and therapeutic biomarkers for brain diseases.
more » ... roRNA-7 (miR-7), as a highly expressed miRNA molecule in the mammalian brain, is well documented to play a critical role in development of various diseases. Importantly, accumulating evidence has shown that miR-7 is involved in a range of developmental and pathological processes of brain. Expressively, miR-7, encoded by three genes located different chromosomes, is dominantly expressed in neurons with sensory or neurosecretory. Moreover, the expression of miR-7 is regulated at three levels including gene transcription, process of primary and precursor sequence and formation of mature sequence. Physiologically, miR-7 principally governs the physiological development of Pituitary gland, Optic nervous system and Cerebral cortex. Pathologically, miR-7 can regulate multiple genes thereby manipulating the process of various brain diseases including neurodegenerative diseases, neuroinflammation, and mental disorders and so on. These emerging studies have shown that miR-7, a representative member of miRNA family, might be a novel intrinsic regulatory molecule involved in the physiological and pathological process of brain. Therefore, in-depth studies on the role of miR-7 in brain physiology and pathology undoubtedly not only provide a light on the roles of miRNAs in brain development and diseases, but also are much helpful for ultimate development of therapeutic strategies against brain diseases. In this review, we provide an overview of current scientific knowledge regarding the expression and function of miR-7 in development and disease of brain and raise many issues involved in the relationship between miR-7 and brain physiological and pathological processes.
doi:10.1186/s13578-020-00436-w pmid:32537124 pmcid:PMC7288475 fatcat:mdf37peycvcfvdpkddnze47hoe

High-Efficient Excitation-Independent Blue Luminescent Carbon Dots

Hongzhen Liu, Xin Zhao, Fei Wang, Yunpeng Wang, Liang Guo, Jingjing Mei, Cancan Tian, Xiaotian Yang, Dongxu Zhao
2017 Nanoscale Research Letters  
Blue luminescent carbon dots (CDs) were synthesized by the hydrothermal method. Blue-shifts of the maximum emission wavelength from 480 to 443 nm were observed when the concentration of CD solution decreased. The photoluminescence (PL) spectra of CDs at low concentration showed an excitation-independent behaviour, which is very different from the previous reports. Two different emitting mechanisms might work: the intrinsic luminescence from sp 2 -carbon networks can be responsible for the
more » ... r wavelength part of emission (excitation-independent) at low concentration and the high polarity of nanosized clusters led to the excitation-dependent behaviour of the longer wavelength part at high concentration of CD solution. The photophysical property and concentration-dependent behaviour of the CDs offered new insights into CDs from the viewpoints of both experiments and mechanisms, which will promote diverse potential applications of CDs in the near future.
doi:10.1186/s11671-017-2137-2 pmid:28605883 pmcid:PMC5466853 fatcat:nmy7sex2vnehbexrxwphjm3ylm

Effects of Degradation and Biostimulation on Phenolic Pollutants with Targeting Strains

Zhao Liang, Yanju Li, Dongxu Zhao, Pan Shang
2018 IOP Conference Series: Earth and Environment  
Aiming at the problems of high content and high environmental pollution of phenols in petrochemical wastewater, a strain capable of efficiently degrading phenol, catechol, m-cresol and 2,4-DCP was isolated from petrochemical wastewater and identified as Stenotrophomonas maltophilia, named DSM2. The highest degradation percentages of strain DSM2 to phenol, catechol, m-cresol and 2,4-DCP were 82.65%, 92.28%, 95.39% and 49.28%, respectively. When strain DSM2 was cultured with strain B29 which
more » ... produce biosurfactant, the results showed that strain PB29 could promote the degradation to catechol, m-cresol and 2,4-DCP, increased by 4.67%, 30.11% and 17.39%, respectively. And adding biosurfactant produced by strain PB29 enhanced the degradation of phenol and 2,4-DCP, increased by 6.11% and 11.90%.
doi:10.1088/1755-1315/170/2/022016 fatcat:smycbdcmb5b6lmrdcttnn5bo54
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