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Autocompletion of repetitive stroking with image guidance

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Computational Visual Media 2023年第3期9卷 581-596页

作者： Yilan Chen Kin Chung Kwan hongbo fu School of Creative Media City University of Hong KongTat Chee AvenueKowloonHong Kong SARChina University of Konstanz University Street 1078464 KonstanzGermany

Image-guided drawing can compensate for a lack of skill but often requires a significant number of repetitive strokes to create *** automatic stroke synthesis methods are usually limited to predefined styles or require indirect manipulation that may break the spontaneous flow of *** present an assisted drawing system to autocomplete repetitive short strokes during a user's normal drawing *** draw over a reference image as usual;at the same time,our system silently analyzes the input strokes and the reference to infer strokes that follow the user's input style when certain repetition is *** can accept,modify,or ignore the system's predictions and continue drawing,thus maintaining fluid control over *** key idea is to jointly analyze image regions and user input history to detect and predict *** proposed system can effectively reduce the user's workload when drawing repetitive short strokes,helping users to create results with rich patterns.

关键词： interaction autocompletion digital drawing prediction texture synthesis

fuzzy-based indoor scene modeling with differentiated examples

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Computational Visual Media 2023年第4期9卷 717-732页

作者： Qiang fu Shuhan He hongbo fu Xueming Li Zhigang Deng School of Digital Media and Design Arts Beijing University of Posts and TelecommunicationsBeijingChina School of Creative Media City University of Hong KongHong KongChina Department of Computer Science University of HoustonTXUSA

Well-designed indoor scenes incorporate interior design knowledge,which has been an essential prior for most indoor scene modeling ***,the layout qualities of indoor scene datasets are often uneven,and most existing data-driven methods do not differentiate indoor scene examples in terms of *** this work,we aim to explore an approach that leverages datasets with differentiated indoor scene examples for indoor scene *** solution conducts subjective evaluations on lightweight datasets having various room configurations and furniture layouts,via pairwise comparisons based on fuzzy set *** also develop a system to use such examples to guide indoor scene modeling using user-specified ***,we focus on object groups associated with certain human activities,and define room features to encode the relations between the position and direction of an object group and the room *** perform indoor scene modeling,given an empty room,our system first assesses it in terms of the user-specified object groups,and then places associated objects in the room guided by the assessment results.A series of experimental results and comparisons to state-of-the-art indoor scene synthesis methods are presented to validate the usefulness and effectiveness of our approach.

关键词： indoor scene modeling modeling by example fuzzy sets

iHair Recolorer: deep image-to-video hair color transfer

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Science China(Information Sciences) 2021年第11期64卷 52-66页

作者： Keyu WU Lingchen YANG hongbo fu Youyi ZHENG State Key Laboratory of CAD&CG Zhejiang University School of Creative Media City University of Hong Kong

In this paper, we present i Hair Recolorer, the first deep-learning based approach for examplebased hair color transfer in videos. Given an input video and a reference image, our method automatically transfers the hair color in the reference image to the hair in the video while keeping other hair attributes(e.g.,shape, structure, and illumination) untouched, producing vivid color-transferred dynamic hair in the *** method performs the color transfer purely in the image space, without any form of intermediate 3 D hair reconstruction. The key enabler of our method is a carefully designed conditional generative model that explicitly disentangles various hair attributes into their corresponding sub-spaces, which are implemented as conditional modules integrated into a generator. We introduce a novel spatially and temporally normalized luminance map to represent the structure and illumination of the hair. Such a representation can largely ease the burden of the generator to synthesize temporally coherent vivid dynamic hairs in the video. We further introduce a cycle consistency loss to enforce the faithfulness of the generated results with respect to the reference. We demonstrate our system’s superiority in video hair color transfer by extensive experiments and comparisons to alternative methods.

关键词： hair color transfer video manipulation luminance map cycle consistency

View suggestion for interactive segmentation of indoor scenes

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Computational Visual Media 2017年第2期3卷 131-146页

作者： Sheng Yang Jie Xu Kang Chen hongbo fu Tsinghua University Massachusetts Institute of Technology City University of Hong Kong

Point cloud segmentation is a fundamental problem. Due to the complexity of real-world scenes and the limitations of 3D scanners, interactive segmentation is currently the only way to cope with all kinds of point clouds. However, interactively segmenting complex and large-scale scenes is very *** this paper, we present a novel interactive system for segmenting point cloud scenes. Our system automatically suggests a series of camera views, in which users can conveniently specify segmentation guidance. In this way, users may focus on specifying segmentation hints instead of manually searching for desirable views of unsegmented objects, thus significantly reducing user effort. To achieve this, we introduce a novel view preference model, which is based on a set of dedicated view attributes, with weights learned from a user study. We also introduce support relations for both graph-cut-based segmentation and finding similar objects. Our experiments show that our segmentation technique helps users quickly segment various types of scenes, outperforming alternative methods.

关键词： point cloud segmentation view suggestion interactive segmentation

Observation and analysis of atmospheric volatile organic compounds in a typical petrochemical area in Yangtze River Delta, China

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Journal of Environmental Sciences 2018年第9期30卷 233-248页

作者： Yunchen Zhang Rui Li hongbo fu Dong Zhou Jianmin Chen Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science & Engineering Fudan University Shanghai 200433 China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology Nanjing 210044 China

Volatile organic compounds （VOCs） are a kind of important precursors for ozone photochemical formation. In this study, VOCs were measured from November 5th, 2013 to January 6th, 2014 at the Second Jinshan Industrial Area, Shanghai, China. The results showed that the measured VOCs were dominated by alkanes （41.8%）, followed by aromatics （20.1%）, alkenes （17.9%）, and halo-hydrocarbons （12.5%）. The daily trend of the VOC concentration showed a bimodal feature due to the rush-hour traffic in the morning and at nightfall. Based on the VOC concentration, a receptor model of Positive Matrix Factorization （PMF） coupled with the information related to VOC sources was applied to identify the major VOC emissions. The result showed five major VOC sources： solvent use and industrial processes were responsible for about 30% of the ambient VOCs, followed by rubber chemical industrial emissions （23%）, refinery and petrochemical industrial emissions （21%）, fuel evaporations （13%） and vehicular emissions （13%）. The contribution of generalized industrial emissions was about 74% and significantly higher than that made by vehicle exhaust. Using a propylene-equivalent method, alkenes displayed the highest concentra-tion, followed by aromatics and alkanes. Based on a maximum incremental reactivity （MIR） method, the average hourly ozone formation potential （OFP） of VOCs is 220.49 ppbv. The most significant source for ozone chemical formation was identified to be rubber chemical industrial emissions, following one by vehicular emission. The data shown herein may provide useful information to develop effective VOC pollution control strategies in industrialized area.

关键词： VOCs PMF Emission sources Photochemical reactivity MIR OFP

An Averaging Principle for Caputo Fractional Stochastic Differential Equations with Compensated Poisson Random Measure

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Journal of Partial Differential Equations 2022年第1期35卷 1-10页

作者： GUO Zhongkai fu hongbo WANG Wenya School of Mathematics and Statistics South-Central University for NationalitiesWuhan 430074China Research Center of Nonlinear Science College of Mathematics and Computer ScienceWuhan Textile UniversityWuhan 430074China School of Artificial Intelligence Jianghan UniversityWuhan 430056China.

This article deals with an averaging principle for Caputo fractional stochastic differential equations with compensated Poisson random *** main contribution of this article is impose some new averaging conditions to deal with the averaging principle for Caputo fractional stochastic differential *** these conditions,the solution to a Caputo fractional stochastic differential system can be approximated by that of a corresponding averaging equation in the sense ofmean square.

关键词： Stochastic fractional differential equations averaging principle compensated Poisson random measure

Characterization and acid-mobilization study for typical iron- bearing clay mineral

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Journal of Environmental Sciences 2018年第9期30卷 222-232页

作者： Zhenzhen Wang Rui Li Lulu Cui hongbo fu Jun Lin Jianmin Chen Shanghai Key Laboratory Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringFudan University Shanghai 200433 China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing 210044 China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 China Key Laboratory of Nuclear Analysis Techniques Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800 China

In this study, iron speciation in five standard clay samples was characterized. Iron mobilization from these clays was then measured in acidic media. For comparison, a commercially available Arizona test dust （ATD） was also observed. The results showed that the free-Fe contents of clays were commonly lower than that of dust aerosols. The components of clays were dominant by the structural Fe held in the aluminosilicate lattice. The iron solubility of the clays were in the order of KGa-2 〉 SWy-2 〉 CCa-2 〉 IMt-2 〉 NAu- 2. Based upon the M6ssbauer spectrum and transmission electron microscopy （TEM） analysis, the Fe（Ⅱ） fraction and the Fe/Si ratio of clay particles changed after dissolution, suggesting the total Fe solubility depended on the Fe atom states existing within the aluminosilicate lattice. The Fe in KGa-2 and SWy-2 was most likely substituted for alkaline elements as the interlayer ions held by ionic bonds in the aluminosilicate, which are more liable to dissolution. However, the Fe in NAu-2 was more likely to be bound by strong covalent bonds in aluminosilicate mineral, which is less soluble. The much highly soluble Fe in ATD was not only linked to the dissolution of an appreciable fraction of Fe（Ⅱ）, but also could be attributed to the fact that the Fe bonds in the clay fraction of ATD were mainly present as ionic bonds. The TEM images showed that reacted clay particles displayed less aggregate particles, with nanoparticle aggregates and the Fe/S-rich tiny particles attached to the remains.

关键词： Clay particles Dust Iron mobilization Marine primary productivity

Characteristics of the pollutant emissions in a tunnel of Shanghai on a weekday

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Journal of Environmental Sciences 2018年第9期30卷 136-149页

作者： Rui Li Ya Meng hongbo fu Liwu Zhang Xingnan Ye Jianmin Chen Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science&EngineeringInstitute of Atmospheric SciencesFudan UniversityShanghai200433P.R.China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092P.R.China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science and TechnologyNanjing 210044China

Tunnel displays a typical semi-closed environment, and multitudes of the pollutants tend to accumulate. The samples of gaseous pollutants and particulate matter （PM） were collected from the Xiangyin tunnel at Shanghai to investigate the characteristics of the pollutant emissions. The results indicated that both gaseous pollutants and PM exhibited much higher concentrations during the rush hours in the morning and at night due to vehicle emission. Two peaks of the PM concentration were observed in the scope of 0.7-1.1 and 3.3-4.7 μm, accounting for 14.6% and 20.3% of the total concentrations, respectively. Organic matter （OM）, EC, and many water-soluble ions were markedly higher at the rush hours in the morning than those at night, implicating comprehensive effects of vehicle types and traffic volume. The particle number concentrations exhibited two peaks at Aitken mode （25 nm and 100 rim） and accumulation mode （600 nm）, while the particle volume concentration displayed high values at the accumulation mode （100-500 nm） and coarse mode （2.5-4.0 μm）. The peak around 100 nm was detected in the morning rush hours, but it diminished with the decrease of the traffic volume. Individual-particle analysis revealed that main particles in the tunnel were Fe-rich particles, K-rich particles, mineral particles, Ca-S rich particles and A1-Si particles. The particles collected at the rush hours displayed marked different morphologies, element concentrations and particle sizes compared to the ones collected at the non-rush period. The data presented herein could shed a light on the feature of vehicle emissions.

关键词： Tunnel Vehicle emission Size distribution Morphology

Effects of argon gas flow rate and guide shell on oxygen concentration in Czochralski silicon growth

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Rare Metals 2006年第1期25卷 7-10页

作者： REN Bingyan ZHAO Long ZHAO Xiuling WANG Huixian CAO Zhongqian ZHU Huimin fu hongbo School of Material Science and Engineering Hebei University of Technology Tianjin 300130 China Hebei Ningjin Jinglong Semiconductor Factory Ningjin 055550 China Yunnan Semiconductor Device Factory Kunming 650033 China

φ200 mm silicon single crystals were grown in the φ450 mm hot zone of a Czochralski （CZ） furnace. By modifying the pattern and the velocity of the argon flow, the silicon single crystals with different oxygen concentrations were obtained. Through numerical simulation, the velocity of the argon gas flow was plotted for the first time. The experiment resuits were analyzed and the optimum condition of the argon flow with the lowest oxygen concentration was obtained.

关键词： inorganic non-metal material CZSi numerical simulation guide shell oxygen concentration