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钟忺

发布时间:2015-05-27     字体:[增加 减小]

   

     

  姓名:钟忺 

  职称:副教授 

  所在院系:计算机与人工智能学院 

  研究领域:人工智能、视觉信息处理、多媒体内容分析与检索 

  电子邮件:zhongx@whut.edu.cn 

  DBLPhttps://dblp.uni-trier.de/pid/87/6023.html 

  Semantic Scholarwww.semanticscholar.org/author/X.-Zhong/46812609 

    

  钟忺,男,19857月出生,博士,武汉理工大学计算机与人工智能学院副教授。近年来一直关注城市监控、车载监控下复杂场景的视觉任务,从事人工智能、视觉信息处理、多媒体内容分析与检索相关的理论与应用研究。长期担任IEEE Trans. Image Process. (TIP)IEEE Trans. Multimedia (TMM)IEEE Trans. Geosci. Remote. Sens. (TGARS)IEEE Trans. Artif. Intell. (TAI)IEEE Signal Process. Lett. (SPL)Neural Process. Lett. (NPL)Concurr. Comput. Pract. Exp.China Commun.Int. Conf. Comput. Linguistics (COLING)IEEE Int. Conf. Multimedia Expo (ICME)等多种国际学术期刊和会议的审稿人。截至目前主持和参加省部级以上科研项目10余项,发表中国计算机学会推荐国际学术会议和期刊论文30余篇,中文核心期刊10余篇,主参编论著5册,申请发明专利5项,获得湖北省科技进步三等奖,湖北省技术发明三等奖。 

    

  教育与工作经历: 

  · 20032007, 武汉大学, 计算机学院, 本科, 导师:黄传河 

  · 20072009, 华中科技大学, 主站|dafa888casino手机移动版登录, 硕士, 导师: 卢炎生 

  · 20092013, 华中科技大学, 主站|dafa888casino手机移动版登录, 博士, 导师: 卢炎生 

  · 20132014, 中南民族大学, 计算机科学学院, 讲师 

  · 20142015, 武汉理工大学, 主站|dafa888casino手机移动版登录, 讲师 

  · 20142017, 武汉理工大学, 光纤传感技术国家工程实验室, 博士后, 导师: 姜德生 

  · 20142021, 武汉理工大学, 主站|dafa888casino手机移动版登录, 副教授 

  · 20162017, 佛罗里达大学, 电子与计算机工程系, 访问学者 

  · 20212022, 北京大学, 信息科学技术学院, 访问学者, 导师: 黄铁军 

  · 2021至现在, 武汉理工大学, 计算机与人工智能学院, 副教授 

    

  主持或参加科研项目(课题)情况: 

  · 国家基金面上合作研究, 51208388, 面向生命周期能耗评估的建筑信息模型研究, 20132016, 参加 

  · 湖北省科技厅湖北省科技重大专项, 2013AEA005, 红外光学材料均匀性检测仪的关键技术研发, 20142015, 参加 

  · 湖北省自然科学基金面上项目, 2014CFB836, 面向监控大数据的粗粒度聚类策略, 20142015, 参加 

  · 湖北省自然科学基金青年基金, 2015CFB525, 城市隧道监控大数据分析预测及视频语义检索方法研究, 20152016, 主持 

  · 国家社科基金一般项目, 15BGL048, 融合互联网数据的小微企业信用打分模型研究, 20152017, 参加 

  · 湖北省科技厅湖北省高技术专项, 2016AAA058, 智能汽车主减速器状态智能检测与故障诊断关键技术与研发, 20162018, 参加 

  · 湖北省自然科学基金创新群体项目, 2017CFA012, 智能终端基础软件老化测试与重生关键技术, 20172019, 参加 

  · 国家科技部重点研发, 2017YFB1402203, 藏文文献数字化无损采集装置研发与数据处理, 20172020, 参加 

  · 湖北省自然科学基金青年杰出人才项目, 2020CFA055, 长江湖北段智能船舶智能航行关键技术研究, 20202023, 参加 

  · 湖北省自然科学基金面上项目, 长时监控复杂场景车辆重识别关键技术研究, 20212023, 主持 

    

  5年部分研究成果情况: 

  [1] Xian Zhong, Tianyou Lu, Wenxin Huang*, Mang Ye, Xuemei Jia and Chia-Wen Lin, Grayscale Enhancement Colorization Network for Visible-infrared Person Re-identification, IEEE Trans. Circuits Syst. Video Technol. (TCSVT), 2021. 

  [2] Xian Zhong, Shilei Zhao, Xiao Wang*, Kui Jiang, Wenxuan Liu, Wenxin Huang, Zheng Wang*. Unsupervised Vehicle search in the Wild: A New Benchmark. ACM Int. Conf. Multimedia (ACM MM), 2021. 

  [3] Xian Zhong, Guozhang Nie, Wenxin Huang*, Wenxuan Liu, Bo Ma, Chia-Wen Lin. Attention-guided Image Captioning with Adaptive Global and Local Feature Fusion. J. Vis. Commun. Image Represent. (JVCIR), 2021, 78: 103138. 

  [4] Xian Zhong, Yiting Liu, Wenxin Huang*, Xiao Wang, Bo Ma, Jingling Yuan. Part-Aligned Network with Background for Misaligned Person Search. ACM Int. Conf. Multimedia Retr. (ICMR), 2021: 4250-4254. 

  [5] Yuze Tian, Xian Zhong*, Wenxuan Liu, Xuemei Jia, Shilei Zhao, Mang Ye. Random Walk Erasing with Attention Calibration for Action Recognition. Pacific Rim Int. Conf. Artif. Intell. (PRICAI), 2021. 

  [6] Lu Xu, Xian Zhong*, Wenxuan Liu, Shilei Zhao, Zhengwei Yang, Luo Zhong. Subspace Enhancement and Colorization Network for Infrared Video Action Recognition. Pacific Rim Int. Conf. Artif. Intell. (PRICAI), 2021. 

  [7] Zhixin Sun, Xian Zhong*, Shuqin Chen, Wenxuan Liu, Duxiu Feng, Lin Li. Modeling Context-Guided Visual and Linguistic Semantic Feature for Video Captioning. Artif. Neural Networks Mach. Learn. (ICANN), 2021: 677-689. 

  [8] Xian Zhong, Wenxin Huang, Ruiqi Luo, Can Wang. Video Human Behavior Recognition Based on ISA Deep Network Model. Int. J. Pattern Recognit. Artif. Intell. (IJPRAI), 2020, 34(14): 2056012:1-2056012:17. 

  [9] Ruiqi Luo, Xian Zhong*, Enxiao Chen. Image Classification with a MSF Dropout. Multimedia Tools Appl. (MTA), 2020, 79(7-8): 4365-4375. 

  [10] Xian Zhong, Jinhang Liu, Lin Li, Shuqin Chen*, Wei Lu, Yuyu Dong, Bingqing Wu, Luo Zhong. An emotion classification algorithm based on SPT-CapsNet. Neural Comput. Appl. (NCA), 2020, 32(7): 1823-1837. 

  [11] Shuqin Chen, Xian Zhong*, Lin Li, Wenxuan Liu, Cheng Gu, Luo Zhong. Adaptively Converting Auxiliary Attributes and Textual Embedding for Video Captioning Based on BiLSTM. Neural Process. Lett. (NPL), 2020, 52(3): 2353-2369. 

  [12] Zhongwei Xie, Lin Li, Xian Zhong*, Luo Zhong, Jianwen Xiang. Image-to-video person re-identification with cross-modal embeddings. Pattern Recognit. Lett. (PRL), 2020, 133: 70-76. 

  [13] Xian Zhong, Oubo Gong, Wenxin Huang*, Jingling Yuan, Bo Ma, Ryan Wen Liu. Multi-Scale Residual Network for Image Classification. IEEE Int. Conf. Acoustics Speech Signal Process. (ICASSP), 2020: 2023-2027. 

  [14] Xian Zhong, Tianyou Lu, Wenxin Huang*, Jingling Yuan, Wenxuan Liu, Chia-Wen Lin. Visible-infrared Person Re-identification via Colorization-based Siamese Generative Adversarial Network. ACM Int. Conf. Multimedia Retr. (ICMR), 2020: 421-427. 

  [15] Xian Zhong, Ming Tan, Weijian Ruan, Wenxin Huang, Liang Xie, Jingling Yuan*. Dual-Direction Perception and Collaboration Network for Near-Online Multi-Object Tracking. IEEE Int. Conf. Image Process. (ICIP), 2020: 2111-2115. 

  [16] Xian Zhong, Cheng Gu, Wenxin Huang*, Lin Li, Shuqin Chen, Chia-Wen Lin. Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach. IEEE Int. Conf. Pattern Recognit. (ICPR), 2020: 2677-2684. 

  [17] Shifeng Wu, Huazhu Song*, Ting Li, Xian Zhong*. Integration and formal representation in civil engineering supervision based on data-driven. Clust. Comput., 2019, 22: 6499-6516. 

  [18] Xian Zhong, Oubo Gong, Wenxin Huang, Lin Li*, Hongxia Xia. Squeeze-and-Excitation Wide Residual Networks in Image Classification. IEEE Int. Conf. Image Process. (ICIP), 2019: 395-399. 

  [19] Xian Zhong, Jiachen Li, Wenxin Huang*, Liang Xie. Deep Multi-label Hashing for Image Retrieval. IEEE Int. Conf. Tools Artif. Intell. (ICTAI), 2019: 1245-1251. 

  [20] Xian Zhong, Meng Feng, Wenxin Huang*, Zheng Wang, Shin'ichi Satoh. Poses Guide Spatiotemporal Model for Vehicle Re-identification. Conf. Multimedia Model. (MMM), 2019: 426-439. 

  [21] Zhongwei Xie, Lin Li*, Xian Zhong*, Luo Zhong, Qing Xie, Jianwen Xiang. A Hybrid Model Reuse Training Approach for Multilingual OCR. Int. Conf. Web Inf. Sys. Eng. (WISE), 2018: 497-512 

  

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