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6. GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings

Author

Zheng, Zhaohua, Li, Jianfang, Zhu, Lingjie, Li, Honghua, Petzold, Frank, and Tan, Ping

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Spotting graphical symbols from the computer-aided design (CAD) drawings is essential to many industrial applications. Different from raster images, CAD drawings are vector graphics consisting of geometric primitives such as segments, arcs, and circles. By treating each CAD drawing as a graph, we propose a novel graph attention network GAT-CADNet to solve the panoptic symbol spotting problem: vertex features derived from the GAT branch are mapped to semantic labels, while their attention scores are cascaded and mapped to instance prediction. Our key contributions are three-fold: 1) the instance symbol spotting task is formulated as a subgraph detection problem and solved by predicting the adjacency matrix; 2) a relative spatial encoding (RSE) module explicitly encodes the relative positional and geometric relation among vertices to enhance the vertex attention; 3) a cascaded edge encoding (CEE) module extracts vertex attentions from multiple stages of GAT and treats them as edge encoding to predict the adjacency matrix. The proposed GAT-CADNet is intuitive yet effective and manages to solve the panoptic symbol spotting problem in one consolidated network. Extensive experiments and ablation studies on the public benchmark show that our graph-based approach surpasses existing state-of-the-art methods by a large margin.

Published
2022

9. FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting

Author

Fan, Zhiwen, Zhu, Lingjie, Li, Honghua, Chen, Xiaohao, Zhu, Siyu, and Tan, Ping

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Access to large and diverse computer-aided design (CAD) drawings is critical for developing symbol spotting algorithms. In this paper, we present FloorPlanCAD, a large-scale real-world CAD drawing dataset containing over 10,000 floor plans, ranging from residential to commercial buildings. CAD drawings in the dataset are all represented as vector graphics, which enable us to provide line-grained annotations of 30 object categories. Equipped by such annotations, we introduce the task of panoptic symbol spotting, which requires to spot not only instances of countable things, but also the semantic of uncountable stuff. Aiming to solve this task, we propose a novel method by combining Graph Convolutional Networks (GCNs) with Convolutional Neural Networks (CNNs), which captures both non-Euclidean and Euclidean features and can be trained end-to-end. The proposed CNN-GCN method achieved state-of-the-art (SOTA) performance on the task of semantic symbol spotting, and help us build a baseline network for the panoptic symbol spotting task. Our contributions are three-fold: 1) to the best of our knowledge, the presented CAD drawing dataset is the first of its kind; 2) the panoptic symbol spotting task considers the spotting of both thing instances and stuff semantic as one recognition problem; and 3) we presented a baseline solution to the panoptic symbol spotting task based on a novel CNN-GCN method, which achieved SOTA performance on semantic symbol spotting. We believe that these contributions will boost research in related areas., Comment: v2, 17 pages, 16 figures

Published
2021

10. Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs

Author

Fang, Chuan, Ding, Shuai, Dong, Zilong, Li, Honghua, Zhu, Siyu, and Tan, Ping

Subjects
Computer Science - Robotics, I.2.9, I.4.5
Abstract

The integration of multiple cameras and 3D Li- DARs has become basic configuration of augmented reality devices, robotics, and autonomous vehicles. The calibration of multi-modal sensors is crucial for a system to properly function, but it remains tedious and impractical for mass production. Moreover, most devices require re-calibration after usage for certain period of time. In this paper, we propose a single-shot solution for calibrating extrinsic transformations among multiple cameras and 3D LiDARs. We establish a panoramic infrastructure, in which a camera or LiDAR can be robustly localized using data from single frame. Experiments are conducted on three devices with different camera-LiDAR configurations, showing that our approach achieved comparable calibration accuracy with the state-of-the-art approaches but with much greater efficiency.

Published
2021

15. The Intelligence Structures of School-Age Children with Attention Deficit Hyperactivity Disorder: A Multicenter Cross-Sectional Study in China.

Author

Zhu, Lin, Jia, Feiyong, Cao, Aihua, Hao, Yan, Li, Fei, Liu, Ruizhuo, Li, Honghua, Yu, Xiaoxiao, Zhao, Jinzhu, Li, Feng, Zhang, Yu, Yu, Yang, Wei, Hua, Dai, Ying, Zhang, Xuan, Liu, Xiao, Peng, Bin, Li, Tingyu, and Chen, Li

Subjects
ATTENTION-deficit hyperactivity disorder, WECHSLER Adult Intelligence Scale, CHILDREN'S language, LANGUAGE acquisition, LEARNING disabilities
Abstract

Purpose: There is no consensus on whether cognitive measures among attention deficit hyperactivity disorder (ADHD) subtypes exhibit more similarities or differences, and most of them have been conducted on English-speaking subjects, lacking cross-cultural perspectives. The present study was aimed at investigating the intelligence structures of school-age children with ADHD who speak Chinese, using a multicenter and large sample size approach, offering some references for clinicians. Patients and Methods: 772 children aged 6 to 12 years with ADHD took part in the cross-sectional study. All participants underwent the Chinese Wechsler Intelligence Scale for Children-Third Edition assessment. Statistical Package for the Social Sciences (SPSS) Statistics 24 was used for statistical analyses. Results: No significant differences were found in full intelligence quotient (FIQ), verbal IQ (VIQ), performance quotient (PIQ), as well as most subtest scores among ADHD subtypes. The analysis of variance showed that the boys' scores were higher than girls' scores in PIQ (P < 0.05), information (P < 0.01), vocabulary (P < 0.05) and block design (P< 0.01) from the perspective of sex, but lower in the coding (P < 0.01). From the perspective of age, the senior group (aged 9– 12) scored higher in block design (P < 0.01) and object assembly (P < 0.05) than the junior one (aged 6– 8), but lower in VIQ (P < 0.05) and verbal comprehension (VC) factor. Conclusion: Our study supported that ADHD substyles shared more similarities in intelligence structures. Boys outperformed girls in PIQ and some subtests, suggesting that the importance to consider the gender differences and the distribution of intellectual strengths and weaknesses. Older children outperformed in block design and object assembly, but underperformed in VIQ and VC factor. This indicated the need to focus on language development and screen for specific learning disabilities in managing school-age children with ADHD. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Bidirectional association between attitudes toward own aging and quality of life in Chinese older adults: A prospective cohort study.

Author

Yuan, Tongshuang, Liang, Leilei, Zheng, Chengbin, Li, Honghua, Zhang, Jinshuo, Kiyum, Marhaba, Xu, Jiayuan, Wang, Mingyue, and Mei, Songli

Subjects
SLEEP quality, QUALITY of life, LIFE satisfaction, AGE differences, OLDER people, AGEISM
Abstract

Although positive attitudes toward own aging (ATOA) have been shown to be associated with higher levels of quality of life (QoL) among older adults, the potential interrelationship between ATOA and QoL has not been fully explored. A sample of 2129 older adults aged 60 and above who participated in the three waves of the Chinese longitudinal healthy longevity survey was used. QoL was measured using three indicators, including self‐rated health, loneliness, and life satisfaction. The cross‐lagged analysis results showed that the bidirectional association between ATOA and QoL was not significant, while positive ATOA predicted better self‐rated health, higher life satisfaction, and less loneliness. And there are no gender or age differences in the above relationships. In addition, economic status, sleep quality, and activity participation were common influences on self‐rated health, life satisfaction, and loneliness, as well as important factors affecting ATOA. Several variables, such as demographic characteristics, health behaviors, and health status, also influenced QoL and ATOA. Measures to promote positive ATOA can help improve QoL. In addition, emphasis should be placed on improving economic status, sleep quality, and activity participation levels to enhance QoL and ATOA in older adults, with appropriate interventions targeting other factors affecting QoL and ATOA. [ABSTRACT FROM AUTHOR]

Published
2024
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24. A preliminary study on serological assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 238 admitted hospital patients

Author

Liu, Lei, Liu, Wanbing, Zheng, Yaqiong, Jiang, Xiaojing, Kou, Guomei, Ding, Jinya, Wang, Qiongshu, Huang, Qianchuan, Ding, Yinjuan, Ni, Wenxu, Wu, Wanlei, Tang, Shi, Tan, Li, Hu, Zhenhong, Xu, Weitian, Zhang, Yong, Zhang, Bo, Tang, Zhongzhi, Zhang, Xinhua, Li, Honghua, Rao, Zhiguo, Jiang, Hui, Ren, Xingfeng, Wang, Shengdian, and Zheng, Shangen

Published
2020
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25. Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants (Adv. Sci. 19/2024)

Author

Bao, Benkun, primary, Zhang, Senhao, additional, Li, Honghua, additional, Cui, Weidong, additional, Guo, Kai, additional, Zhang, Yingying, additional, Yang, Kerong, additional, Liu, Shuai, additional, Tong, Yao, additional, Zhu, Jia, additional, Lin, Yuan, additional, Xu, Huanlan, additional, Yang, Hongbo, additional, Cheng, Xiankai, additional, and Cheng, Huanyu, additional

Published
2024
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26. Image-Assisted Discrimination Method for Neurodevelopmental Disorders in Infants Based on Multi-feature Fusion and Ensemble Learning

Author

Dai, Xiaohui, Wang, Shigang, Li, Honghua, Yue, Haichun, Min, Jiayuan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liang, Peipeng, editor, Goel, Vinod, editor, and Shan, Chunlei, editor

Published
2019
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29. Field Calibration and Application of Polydimethylsiloxane and Quartz Fiber Filters as Passive Indoor Air Samplers for Organophosphate Esters and Human Exposure Estimation

Author

Matsiko, Julius, primary, Li, Honghua, additional, Wang, Pu, additional, Zuo, Peijie, additional, Wang, Dou, additional, Zhang, Weiwei, additional, Hao, Yanfen, additional, Li, Yingming, additional, Ssebugere, Patrick, additional, Nsubuga, Hakim, additional, Muhwezi, Godfrey, additional, Zhang, Qinghua, additional, and Jiang, Guibin, additional

Published
2024
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37. Incidence of active tuberculosis in individuals with latent tuberculosis infection in rural China: follow-up results of a population-based, multicentre, prospective cohort study

Author

Kong, Wen, Chen, Cheng, Wang, Yuejin, Gong, Fengqiu, Guo, Lili, Huang, Zhonghui, Shao, Wenjuan, Sun, Ping, Xue, Chunhua, Zhu, Yiqing, Jiang, Weiping, Gui, Yaxiang, Wang, Hao, Yang, Ping, Yao, Ruiyong, Yin, Wenhua, Chao, Nong, Jiang, Tao, Qian, Baima village:Qinxiao, Shi, Hongqin, Tao, Yungen, Wu, Meiqin, Yang, Yuping, Zhang, Dongmei, Zhang, Guoxian, Wang, Jianguo, Chen, Xiaojun, Ding, Zhaosheng, Fu, Huajie, Hang, Li, Huang, Yu, Jiang, Huiping, Jiang, Huaxin, Li, Junlian, Liu, Baoxia, Pan, Lijun, Shao, Caiyun, Tan, Huixia, Tan, Qiuwei, Wang, Weizhong, Yang, Jianping, Yi, Meiqin, Yin, Qianlu, Yuan, Hua, Zhang, Weixing, Zhu, Hong, Fei, Haojun, Jiang, Liwei, Li, Wenhong, Shen, Zhaoer, Sun, Xiaomei, Tang, Wenjuan, Wang, Mingming, Wu, Jinlong, Zhang, Songqing, Zhang, Xiaozhong, Guan, Ling, Guan, Xueling, Liu, Wantong, Cui, Wei, Lei, Zhaokuan, Wang, Yongming, Yu, Yongmin, Song, Liucun, Wang, Tao, Li, Xiaolong, Luo, Jianrong, Wang, Hebin, Liu, Weiguo, Zhang, Fude, Zhang, Fang, Wang, Yongfu, Zhao, Qingna, Liu, Yinbiao, Li, Jianli, Dan, Liujie, Wang, Dakuan, Yan, Jiaoxia, Zhu, Guofu, Liu, Zisen, He, Zhoulun, Yan, Yongfen, Li, Ping, Shang, Huailiang, Heng, Baichao, Liu, Shuli, Ran, Zhe, Jiang, Kun, Zhu, Xin, Wu, Haibin, Liang, Liling, Yuan, Jianhui, Wang, Zhigang, Meng, Aijing, Wang, Jing, Guan, Xia, Yang, Jiannan, Li, Yan, Liu, Haixia, Wang, Wuying, Liu, Xinhao, Qiao, Fuke, Li, Xianmin, Zhao, Herong, Zhu, Chunyuan, Lu, Yanan, Liu, Ning, Peng, Yanan, Wan, Li, Chen, Hairui, Song, Xiaoming, Lou, Qingtao, Wang, Wei, Liu, Changshui, Zhang, Lijuan, Zhang, Zhanjiang, Yuan, Shijie, Yang, Yongxin, Chen, Suqin, Dong, Changjie, Ran, Jianguo, Wu, Weiling, Li, Zhen, Zhang, Hui, Duan, Liujia, Yang, Fan, Liu, Ying, Wang, Kun, Yan, Lina, Ma, Jiangli, Wan, Liuyan, Li, Yanfen, Wang, Han, Yuan, Bing, Du, Ruiling, Zhang, Jie, Zhang, Jingge, Li, Lin, Zhao, Aihua, Wei, Junhong, Zhao, Ning, Zhu, Yonghui, Mao, Wuyi, Luo, Qi, Huang, Zhongpu, Guo, Hongbin, Zheng, Na, Pan, Weiwei, Qin, Meng, Li, Ying, Xiao, Shanshan, Zhang, Yun, Wu, Weiying, Li, Jing, Song, Liusen, Tang, Yi, Yao, Qineng, Yang, Kunyun, Kuang, Meixiong, Bao, Changlin, Xiao, Tao, Wan, Yanping, Wan, Xiaojie, Liu, Binbin, Jiang, Tieliu, Zhang, Xiaoping, Tan, Zhen, Zhang, Xiaobing, Liu, Zhaoguo, Chen, Zhenhua, Wang, Yu, Yu, Yanyan, Dai, Saibo, Hu, PeiLei, Zhang, Chuanfang, Li, Yanhong, Gong, Dehua, Liu, Liqin, Li, Xiaohong, Ling, Jie, Shan, Xinhua, Zhang, Z huo, Deng, Haibing, Zeng, Zhengbiao, Li, Honghua, Zhou, Shuiping, Xu, Ying, Zhang, Can, Chen, Haifeng, Wang, Xiaoling, Chen, Yao, Yang, Sheng, Peng, Weiping, Sun, Huan, Liao, Hui, Xie, Xiping, Liang, Fang, Hu, Cheng, Hu, Siwei, Liu, Xinyu, Peng, Jun, Liu, Wenxin, Liu, Decheng, Liu, Wenbin, Li, Xiangmei, Guo, Hui, Wang, Wen, He, Yujue, Wang, Bo, Zhang, Yaping, Gao, Qiaofen, Zhao, Jianxi, Chen, Weitao, Li, Qing, Mu, Taojun, Liang, Qijun, Gu, Jixiu, Ma, Ling, An, Ning, Li, Junwen, Yao, Qinhua, Liang, Chengzhi, Ge, Xiuqun, Chen, Yalin, Luan, Shumao, Sun, Yanhong, Yang, Ruifang, Ma, Bin, Zhang, Suiqiang, Liang, Fusheng, Tian, Yuan, Zhang, Hongxia, Yang, Fanqin, Lu, Qifeng, Chen, Jun, Dong, Yan, Zhang, Shunsheng, Jin, Ziming, Wang, Jintao, Lan, Jianwei, Zhang, Zhanjun, Wu, Yumin, Shi, Jianlin, Shi, Zhaoping, Chen, Yan, Ding, Jianxin, An, Xiaofeng, Yang, Jun, Ling, Dongdong, Nie, Zhenzhou, Liu, Chunli, Mi, Guangyin, Ma, Jun, Guo, Jiyun, Gao, Lei, Li, Xiangwei, Liu, Jianmin, Wang, Xinhua, Lu, Wei, Bai, Liqiong, Xin, Henan, Zhang, Haoran, Li, Hengjing, Zhang, Zongde, Ma, Yu, Li, Mufei, Feng, Boxuan, Du, Jiang, Sui, Hongtao, Zhao, Rong, Su, Haoxiang, Pan, Shouguo, Shen, Fei, He, Jian, Yang, Shumin, Si, Hongyan, Cheng, Xu, Xu, Zuhui, Tan, Yunhong, Chen, Tianzhu, Xu, Weiguo, Peng, Hong, Wang, Zhijian, Zhu, Tao, Chen, Xiaoyou, Zhou, Xinhua, and Jin, Qi

Published
2017
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38. A phase II randomized trial of sodium oligomannate in Alzheimer’s dementia

Author

Wang, Tao, Kuang, Weihong, Chen, Wei, Xu, Wenwei, Zhang, Liming, Li, Yingjie, Li, Hailin, Peng, Ying, Chen, Yangmei, Wang, Baojun, Xiao, Jinsong, Li, Honghua, Yan, Chuanzhu, Du, Yifeng, Tang, Mouni, He, Zhiyi, Chen, Haibo, Li, Wei, Lin, Hong, Shi, Shugui, Bi, Jianzhong, Zhou, Huadong, Cheng, Yan, Gao, Xiaoping, Guan, Yihui, Huang, Qiu, Chen, Kewei, Xin, Xianliang, Ding, Jian, Geng, Meiyu, and Xiao, Shifu

Published
2020
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39. Shape Compaction

Author

Li, Honghua, Zhang, Hao, Hege, Hans-Christian, Series editor, Hoffman, David, Series editor, Johnson, Christopher R., Series editor, Polthier, Konrad, Series editor, Rumpf, Martin, Series editor, Breuß, Michael, editor, Bruckstein, Alfred, editor, Maragos, Petros, editor, and Wuhrer, Stefanie, editor

Published
2016
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