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Joint regression and learning from pairwise rankings for personalized image aesthetic assessment

Computational Visual Media 2021年第2期7卷 241-252页

作者： Jin Zhou Qing Zhang Jian-Hao Fan wei Sun wei-shi zheng School of Electronics and Information Technology Sun Yat-sen UniversityGuangzhou 510006China. School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhou 510006China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education(Sun Yat-sen University)Guangzhou 510006China Peng Cheng Laboratory Shenzhen 518000China

Recent image aesthetic assessment methods have achieved remarkable progress due to the emergence of deep convolutional neural networks(CNNs).However,these methods focus primarily on predicting generally perceived preference of an image,making them usually have limited practicability,since each user may have completely different preferences for the same *** address this problem,this paper presents a novel approach for predicting personalized image aesthetics that fit an individual user’s personal *** achieve this in a coarse to fine manner,by joint regression and learning from pairwise ***,we first collect a small subset of personal images from a user and invite him/her to rank the preference of some randomly sampled image *** then search for the K-nearest neighbors of the personal images within a large-scale dataset labeled with average human aesthetic scores,and use these images as well as the associated scores to train a generic aesthetic assessment model by CNN-based ***,we fine-tune the generic model to accommodate the personal preference by training over the rankings with a pairwise hinge *** demonstrate that our method can effectively learn personalized image aesthetic preferences,clearly outperforming state-of-the-art ***,we show that the learned personalized image aesthetic benefits a wide variety of applications.

关键词： s personalized image aesthetic assessment deep convolutional neural networks pairwise ranking regression

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Weakly supervised action anticipation without object annotations

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Frontiers of Computer Science 2023年第2期17卷 101-110页

作者： Yi ZHONG Jia-Hui PAN Haoxin LI wei-shi zheng School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhou 510006China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of EducationGuangzhou 510006China

Anticipating future actions without observing any partial videos of future actions plays an important role in action prediction and is also a challenging *** obtain abundant information for action anticipation,some methods integrate multimodal contexts,including scene object ***,extensively labelling each frame in video datasets requires considerable *** this paper,we develop a weakly supervised method that integrates global motion and local finegrained features from current action videos to predict next action label without the need for specific scene context ***,we extract diverse types of local features with weakly supervised learning,including object appearance and human pose representations without ground ***,we construct a graph convolutional network for exploiting the inherent relationships of humans and objects under present *** evaluate the proposed model on two datasets,the MPII-Cooking dataset and the EPIC-Kitchens dataset,and we demonstrate the generalizability and effectiveness of our approach for action anticipation.

关键词： action anticipation weakly supervised learning relation modelling graph convolutional network

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AR-CNN: an attention ranking network for learning urban perception

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Science China(Information Sciences) 2022年第1期65卷 164-174页

作者： Zhetao LI Ziwen CHEN wei-shi zheng Sangyoon OH Kien NGUYEN Key Laboratory of Hunan Province for Internet of Things and Information Security Xiangtan University Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University School of Data and Computer Science Sun Yat-sen University Department of Computer and Information Engineering Ajou University Graduate School of Engineering Chiba University

An increasing number of deep learning methods is being applied to quantify the perception of urban environments, study the relationship between urban appearance and resident safety, and improve urban appearance. Most advanced methods extract image feature representations from street-level images through conventional visual computation algorithms or deep convolutional neural networks and then directly predict the results using features. Unfortunately, these methods take color and texture information together during processing. Color and texture are prime image features, and they affect human perception and judgment differently. We argue that color and texture should be operated differently; therefore, we formulate an end-to-end learning methodology to process input images according to color and texture information before inputting it into the neural network. The processed images and the original image constitute three input streams for the triad attention ranking convolutional neural network(AR-CNN) model proposed in this *** accordance with the aspects of color and texture, an improved attention mechanism in the convolution layer is proposed. Our objective is to obtain the scores of humans on urban appearance in accordance with the prediction results computed from pairwise comparisons generated by the AR-CNN model.

关键词： ranking network urban perception attribute learning attention network colour and texture

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字里行间飘逸出师德的馨香——从通信中看喻宜萱先生的为人

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中央音乐学院学报 2009年第3期116卷 118-121页

作者：石惟正天津音乐学院

喻先生离开我们已经整整两年了。从全国声乐界来说,她是我们声乐表演专业德高望重的一代宗师。从我个人来讲,我是长期受她教育和深受她影响的一名学生。十七岁的时候,父亲带我慕名找到喻先生,在她家里,汤雪耕、王翘钰和她,三位老师听我... 详细信息

喻先生离开我们已经整整两年了。从全国声乐界来说,她是我们声乐表演专业德高望重的一代宗师。从我个人来讲,我是长期受她教育和深受她影响的一名学生。十七岁的时候,父亲带我慕名找到喻先生,在她家里,汤雪耕、王翘钰和她,三位老师听我唱歌,鼓励我,将我引上学习声乐的道路。入学后喻先生一直担任系主任,后来又兼任副院长。她给我们授课,和学生一起讨论,一起劳动,带头和学生一起学习民间音乐,主持中国歌曲音乐会。

关键词：先生喻宜萱通信师德飘逸表演专业民间音乐中国歌曲

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Therapeutic effect of interleukin-10 on CCI_4-induced hepatic fibrosis in rats

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World Journal of Gastroenterology 2006年第9期12卷 1386-1391页

作者： Yue-Hong Huang Hei-Na shi wei-Da zheng Li-Juan Zhang Zhi-Xin Chen Xiao-Zhong Wang Department of Gastroenterology Union Hospital of Fujian Medical University Fuzhou 350001 Fujian Province China

AIM： To study the therapeutic effect of exogenous interleuldn-10 on CCl4-induced hepatic fibrosis in rats and its passible mechanisms. METHODS： Fourty-seven SD rats were randomly divided into control group （group N） and CCl4-induced hepatic fibrosis model group （group C）. After CCl4 was given for 9 wk, the model group was divided into three groups. Rats in group H were put to death immediately, rats in group T were treated with IL-10 for another three wk and then put to death, rats in group R recovered after three weeks and were then killed. The degree of hepatic fibrosis was measured by HE staining and histological activity index （HAI）. Histological activity index （HAI）, change of collagen types Ⅰ and Ⅲ were measured by Picrosirius staining. The expression of TNF-α, HHP-2 and TIMP-1 in liver tissue was measured by S-P immunohis tochemistry.RESULTS： CCl4- induced experimental rat hepatic fibrosis model was established successfully. The degree of hepatic fibrosis was markedly lower in group T than in groups H and R, and there was no difference between the two groups. The expression of collagen types I and III was significantly suppressed in group T and was slightly suppressed in groups H and R. The positive levels of TNF-α, HHP-2 and TIHP-1 in group H increased significantly compared to those in group N （P〈0.01）. The positive signals decreased significantly in groups T and R （P〈0.01）, but positive score was significantly lower in group T than in group R （P〈 0.01）. CONCLUS10N： Exogenous IL-10 can reverse CCl4-induced hepatic fibrosis in rats. IL-10 may exert its reversible effects on hepatic fibrosis by blocking CCl4-induced inflammation, inhibiting expression of HHP-2 and TIMP-1 and promoting resolution of collagen types Ⅰ and Ⅲ.

关键词： Animals Carbon Tetrachloride Collagen Type I Collagen Type III Immunohistochemistry Interleukin-10 Liver Liver Cirrhosis Male Matrix Metalloproteinase 2 Rats Rats, Sprague-Dawley Tissue Inhibitor of Metalloproteinase-1 Tumor Necrosis Factor-alpha

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特种微型光缆应力应变测试及仿真分析

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光通信技术 2010年第10期34卷 37-40页

作者：韦正世中国电子科技集团公司第八研究所安徽淮南232001

结合我所研发的某型特种微型光缆的结构设计和应力应变的研究,建立了特种微型光缆的数学模型和应力应变测试系统,对不同应力条件下微型光缆和其中光纤的应力应变进行了测试。同时利用ANSYS结构力学仿真分析软件,建立了该微型光缆的有限... 详细信息

结合我所研发的某型特种微型光缆的结构设计和应力应变的研究,建立了特种微型光缆的数学模型和应力应变测试系统,对不同应力条件下微型光缆和其中光纤的应力应变进行了测试。同时利用ANSYS结构力学仿真分析软件,建立了该微型光缆的有限元分析模型,并对其在各种工况下的变形进行了分析。测试和分析结果表明,该型光缆在受到拉伸时发生较复杂的变形,由于光纤在光缆中存在一定冗余度,光纤的应变小于光缆的应变。仿真分析再现了变形产生原因和变形过程。

关键词：微型光缆应力应变测试仿真分析

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Tolerance Analysis of Luneberg Lens Antenna

Tolerance Analysis of Luneberg Lens Antenna

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IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications

作者： shi wei,Gong zheng-quan (Telecommunication Technology Research Institute,Nanjing,Jiangsu 210007,China)

Luneberg lens is prevalently studied, for it may be a unique solution for low profile、broadband and wide angle scanning applications. From the view of application, this paper studied the tolerance pro

关键词： Luneberg lens, spherical vector wave, reciprocity theorem, tolerance Key words: Luneberg lens, spherical vector reciprocity theorem, tolerance

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Ultra-wide FOV meta-camera with transformer-neural-network color imaging methodology

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Advanced Photonics 2024年第5期6卷 35-44页

作者： Yan Liu Wen-Dong Li Kun-Yuan Xin Ze-Ming Chen Zun-Yi Chen Rui Chen Xiao-Dong Chen Fu-Li Zhao wei-shi zheng Jian-Wen Dong Sun Yat-sen University School of Physics State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University School of Computer Science and Engineering

Planar cameras with high performance and wide field of view(FOV) are critical in various fields,requiring highly compact and integrated technology. Existing wide FOV metalenses show great potential for ultrathin optical components, but there is a set of tricky challenges, such as chromatic aberrations correction,central bright speckle removal, and image quality improvement of wide FOV. We design a neural meta-camera by introducing a knowledge-fused data-driven paradigm equipped with transformer-based network. Such a paradigm enables the network to sequentially assimilate the physical prior and experimental data of the metalens, and thus can effectively mitigate the aforementioned challenges. An ultra-wide FOV metacamera, integrating an off-axis monochromatic aberration-corrected metalens with a neural CMOS image sensor without any relay lenses, is employed to demonstrate the availability. High-quality reconstructed results of color images and real scene images at different distances validate that the proposed metacamera can achieve an ultra-wide FOV(>100 deg) and full-color images with the correction of chromatic aberration, distortion, and central bright speckle, and the contrast increase up to 13.5 ***, coupled with its compact size(< 0.13 cm3), portability, and full-color imaging capacity, the neural meta-camera emerges as a compelling alternative for applications, such as micro-navigation, microendoscopes, and various on-chip devices.

关键词： metalens meta-camera wide field of view neural network color imaging compact imaging device

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声乐审美提纲

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天津音乐学院学报 2010年第1期 1-6页

作者：石惟正天津音乐学院声乐系

本提纲从声乐审美在声乐艺术中的重要地位、声乐审美研究的出发点、方法和原则开始,进一步引申到声乐种类的多样性和声乐审美的多样性以及共性。提纲的主体是从声乐创作、表演、教学分别表述其审美观的框架和要点。

关键词：声乐美学声乐审美广义歌唱狭义歌唱声乐创作声乐表演声乐教育

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基于马尔科夫模型的双站激光微波混合链路性能分析

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电子学报 2024年第2期52卷 468-476页

作者：邵军虎杜旭晓庞健史魏征西安理工大学自动化与信息工程学院西安市无线光通信与网络研究重点实验室陕西西安710048 华侨大学厦门市移动多媒体通信重点实验室福建厦门361021

针对气象变化对自由空间光(Free Space Optical,FSO)通信链路和毫米波射频(Radio Frequency,RF)通信链路可用率的影响问题,采用马尔科夫建模与稳态概率求解计算方法,分析不同天气条件下FSO/RF混合链路的双接收站分集与中断概率性能.基于... 详细信息

针对气象变化对自由空间光(Free Space Optical,FSO)通信链路和毫米波射频(Radio Frequency,RF)通信链路可用率的影响问题,采用马尔科夫建模与稳态概率求解计算方法,分析不同天气条件下FSO/RF混合链路的双接收站分集与中断概率性能.基于FSO链路和RF链路的信道模型,采用有限状态马尔科夫链(Finite State Markov Chain,FSMC)分别对单双站FSO/RF混合链路的切换选择进行建模,推导得出不同参数和天气情况下系统稳态的中断概率表达式.数值计算结果表明,当中断概率达到10^(-6),雨雾天气链路距离为1~7 km时,双站FSO/RF混合链路相比单站可获得4~25 dB的增益.

关键词： FSO/RF混合链路多站分集马尔科夫模型中断概率误码率

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