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High fidelity virtual try-on network via semantic adaptation and distributed componentization

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Computational Visual Media 2022年第4期8卷 649-663页

作者： Chenghu Du Feng Yu Minghua Jiang Ailing hua Yaxin Zhao Xiong Wei Tao Peng xinrong hu School of Computer Science and Artificial Intelligence Wuhan Textile UniversityWuhan 430200China Engineering Research Center of hubei Province for Clothing Information Wuhan 430200China

Image-based virtual try-on systems have significant commercial value in online garment ***,prior methods fail to appropriately handle details,so are defective in maintaining the original appearance of organizational items including arms,the neck,and in-shop *** propose a novel high fidelity virtual try-on network to generate realistic ***,a distributed pipeline is used for simultaneous generation of organizational ***,the in-shop garment is warped using thin plate splines(TPS)to give a coarse shape reference,and then a corresponding target semantic map is generated,which can adaptively respond to the distribution of different items triggered by different ***,organizational items are componentized separately using our novel semantic map-based image adjustment network(SMIAN)to avoid interference between body ***,all components are integrated to generatethe overall result by SMIAN.A priori dual-modalinformation is incorporated in the tail layers of SMIAN to improve the convergence rate of the *** demonstrate that the proposed method can retain better details of condition information than current *** method achieves convincing quantitative and qualitative results on existing benchmark datasets.

关键词： virtual try-on conditional image synthesis human parsing thin plate spline semantic adaptation

Preparation and electrochemical characteristics of Co_3(PO_4)_2-coated LiNi_(0.8)Co_(0.2)O_2 by solid-state reaction at room temperature

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Rare Metals 2008年第5期27卷 502-506页

作者： DENG xinrong hu Guorong PENG Zhongdong YANG Yanan CAO Yanbing DU Ke School of Metallurgical Science and Engineering Central South University Changsha 410083 China

LiNi0.8Co0.2O2 particles were modified by Co3（PO4）2 coating. The effects of the Co3（PO4）2 coating on the structure and electrochemical properties of the LiNi0.8Co0.2O2 cathode material were investigated. The Co3（PO4）2 coating forms a thin layer on the surface of the LiNi0.8Co0.2O2 material and a solid solution by interacting with the LiNi0.8Co0.2O2 core material during calcination at 700℃ for 4 h. Charge-discharge experiment results show that the Co3（PO4）2 coating improves the cycling stability of the LiNi0.8Co0.2O2 cathode material. The capacity retention of the pristine LiNi0.8Co0.2O2 cathode after 50 cycles is 83.6%, whereas it is 91.7% in the case of the LiNi0.8Co0.2O2 cathode coated with 1 wt.% Co3（PO4）2. Storage tests of the 4.35 V charged electrode at 60℃ after a month show that the Co3（POg）2-coated sample exhibits good storage properties compared with the pristine sample.

关键词： lithium ion battery coating solid-state reaction Co3(PO4)2 electrochemical characteristics

Point cloud upsampling generative adversarial network based on residual multi-scale off-set attention

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Virtual Reality & Intelligent Hardware 2023年第1期5卷 81-91页

作者： Bin SHEN Li LI xinrong hu Shengyi GUO Jin huANG Zhiyao LIANG School of Computer and Artificial Intelligence Wuhan Textile UniversityHubei 430200China School of Computer Science and Engineering Macao University of Science and TechnologyMacao China

Background Owing to the limitations of the working principle of three-dimensional(3D) scanning equipment, the point clouds obtained by 3D scanning are usually sparse and unevenly distributed. Method In this paper, we propose a new generative adversarial network(GAN) that extends PU-GAN for upsampling of point clouds. Its core architecture aims to replace the traditional self-attention(SA) module with an implicit Laplacian offset attention(OA) module and to aggregate the adjacency features using a multiscale offset attention(MSOA)module, which adaptively adjusts the receptive field to learn various structural features. Finally, residual links are added to create our residual multiscale offset attention(RMSOA) module, which utilizes multiscale structural relationships to generate finer details. Result The results of several experiments show that our method outperforms existing methods and is highly robust.

关键词： Point cloud upsampling Generative adversarial network Attention

Intelligent 3D garment system of the human body based on deep spiking neural network

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虚拟现实与智能硬件（中英文） 2024年第1期6卷 43-55页

作者： Minghua JIANG Zhangyuan TIAN Chenyu YU Yankang SHI Li LIU Tao PENG xinrong hu Feng YU School of Computer and Artificial Intelligence Wuhan Textile UniversityWuhan 430200China Engineering Research Center of hubei Province for Clothing Information Wuhan 430200China

Background Intelligent garments,a burgeoning class of wearable devices,have extensive applications in domains such as sports training and medical ***,existing research in the smart wearables domain predominantly emphasizes sensor functionality and quantity,often skipping crucial aspects related to user experience and *** To address this gap,this study introduces a novel real-time 3D interactive system based on intelligent *** system utilizes lightweight sensor modules to collect human motion data and introduces a dual-stream fusion network based on pulsed neural units to classify and recognize human movements,thereby achieving real-time interaction between users and ***,the system incorporates 3D human visualization functionality,which visualizes sensor data and recognizes human actions as 3D models in real time,providing accurate and comprehensive visual feedback to help users better understand and analyze the details and features of human *** system has significant potential for applications in motion detection,medical monitoring,virtual reality,and other *** accurate classification of human actions contributes to the development of personalized training plans and injury prevention *** This study has substantial implications in the domains of intelligent garments,human motion monitoring,and digital twin *** advancement of this system is expected to propel the progress of wearable technology and foster a deeper comprehension of human motion.

关键词： Intelligent garment system Internet of things human action recognition Deep learning 3D visualization

A New Approach of Color Image Quantization

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通讯和计算机（中英文版） 2005年第3期2卷 72-76页

作者： hu xinrong WANG Tianzhen LI Dehua Institute for Pattern Recognition and Artificial Intelligence State Education Commission Laboratory for Image Processing and Intelligence Control HuaZhong Univ. of Science＆Technology WuHan 430074 China Dept. of Computer Science ＆Technology Wuhan Institute of Science＆Technology WuHan 430074 China Institute of linage Processing WuHan Univ. of Technology Wuhan 430070China

Teaching Reform and Practice of Software Engineering Graduate Students by Implanting Scientific Research Literacy into Classroom Teaching Content

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计算机教育 2023年第12期 37-47页

作者： Bangchao Wang Yang Deng Peng Ye xinrong hu Qiang Zhu the School of Computer Science and Artificial Intelligence Wuhan Textile UniversityWuhan430200China

How to cultivate and improve graduate students’innovation and practical abilities in software engineering through the curriculum and teaching mode reform is an important *** this paper,a research literacy-driven teaching mode is *** assists in the reform of the curriculum ***,a curriculum system construction framework is proposed,which involves the integration of research literacy into classroom teaching *** assists in the cultivation of research abilities of graduate students in software *** effectiveness of the curriculum reform is demonstrated through questionnaire surveys and research outcomes of the project *** results show that the methods explored in this paper can serve as valuable references for future course design and teaching practice in computer-related courses for graduates.

关键词： Software engineering Graduate students Scientific research literacy Teaching reform Teaching practice

Measurement of ^(232)Th(n,γ)cross section at the CSNS Back-n facility in the unresolved resonance region from 4 keV to 100 keV

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Chinese Physics B 2022年第6期31卷 74-81页

作者： Bing Jiang Jianlong Han Jie Ren Wei Jiang Xiaohe Wang Zian Guo Jianglin Zhang Jifeng hu Jingen Chen Xiangzhou Cai Hongwei Wang Longxiang Liu Xinxiang Li xinrong hu Yue Zhang Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China CAS Innovative Academy in TMSR Energy System Chinese Academy of SciencesShanghai 201800China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China China Spallation Neutron Source Dongguan 523803China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China

The neutron capture cross section of ^(232)Th was measured at the neutron time-of-flight facility Back-n of China Spallation Neutron Source(CSNS)for the first *** measurement was performed with 4 hydrogen-free deuterated benzene C6D6 liquid scintillation detectors,in the ES#2 experiment station on the beam line,at a distance of about 76 m from the neutron-production *** total energy detection principle in combination with the pulse height weighting technique(PHWT)was applied to analyze the measured *** of the ^(232)Th(n,γ)reaction cross section in the unresolved resonance region from 4 keV to 100 keV were obtained,which shows a good agreement with the existing experimental data from EXFOR,as well as with the evaluated data from the ENDF/B-VIII.0 and *** addition,the excitation function of ^(232)Th(n,γ)^(233)Th reaction in the unresolved resonance region was theoretically calculated by using the code *** fitting the experimental cross section and theoretical data,the average parameters in the unresolved resonance region were extracted.

关键词： ^(232)Th(n,g)cross section CSNS Back-n facility C_(6)D_(6)detectors unresolved resonance region

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一种改进的车牌字符分割算法

计算机工程 2006年第3期32卷 191-192,202页

作者：胡新荣武汉科技学院计算机科学系武汉430074

提出了一种改进的投影分割算法,其基本思想是将数列平滑的方法用于曲线投影上,该方法避免了传统分割算法的缺点,不仅有效地去除了噪声,而且相对于直线检测分割方法计算量减小,又比简单的投影方法分割效果明显。

关键词：图像分割字符分割投影分割

“黑格比”台风浙沪交界极端降水及物理量特征分析

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热带气象学报 2023年第4期39卷 567-580页

作者：胡鑫蓉中国气象科学研究院北京100081 中国气象局上海台风研究所上海200030

利用全国综合气象信息共享平台(CIMISS)地面站点降水资料、欧洲中期天气预报中心逐小时再分析资料,分析“黑格比”台风登陆后在浙江嘉兴、上海金山交界地区(简称“关注区”)产生的极端降水及相关物理量特征,结果表明:(1)此次降水过程的... 详细信息

利用全国综合气象信息共享平台(CIMISS)地面站点降水资料、欧洲中期天气预报中心逐小时再分析资料,分析“黑格比”台风登陆后在浙江嘉兴、上海金山交界地区(简称“关注区”)产生的极端降水及相关物理量特征,结果表明:(1)此次降水过程的小时雨强、日降水和过程降水均具有很强的极端性,部分测站达十年一遇甚至是百年一遇标准,杭州湾北岸强降水的极端性比南岸更显著;(2)关注区对流层低层充足的水汽,以及高低层冷、暖平流的叠加,为极端降水发生发展提供了有利的水汽条件和不稳定条件;(3)根据物理量的逐小时演变,呈现出低层辐散、高层辐合的环流增强,以及低层强烈的涡旋运动,关注区强降水也随之发生;(4)此次极端暴雨过程850 hPa第二类热成风螺旋度极值和地面散度经极值排序后呈现较高的百分位置,在相似台风中均具有显著的极端性,对类似路径、小体积台风极端降水的发生具有较好的指示意义。

关键词： “黑格比” 台风极端降水极值排序