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匡振中 副教授

硕士生导师

计算机科学与技术

图像识别与检索,三维模型检索,图像隐私保护,多媒体分析和机器学习

zzkuang@hdu.edu.cn
3教417
  • 匡振中,男,1987年生,山东日照人,副研究员,硕士生导师。于20176月获得中国石油大学与美国北卡罗莱纳大学联合培养博士学位,自201710月起任职于杭州电子科技大学计算机学院,是复杂系统建模与仿真教育部重点实验室成员,属于浙江省高水平创新团队成员,入选杭州电子科技大学优秀骨干教师支持计划。

        从事人工智能分支中视觉识别技术研究,主要采用计算机视觉和机器学习方法(如深度学习技术)去认识和理解包括二维图像和三维模型在内的可视化媒体,涉及层次大规模图像识别、图像隐私保护以及三维模型检索等。在国内外知名期刊和国际会议上共发表论文20余篇(例如PAMITIFSTIPPRPRLCAD等)。承担中央高校自主创新课题1项,参与包括国家自然基金以及山东基金在内的多项课题。参加的高水平国际会议,包括ACM Siggraph AsiaSPMICMR以及SMI等,获得CAD/Graphics 2015国际会议最佳论文奖。担任多个国际期刊审稿人,如TNNLSInformation SciencesICMRMTA以及MultimediaSystem等。

     

        联系方式:zzkuang@hdu.edu.cn

  • 1. Deep Mixture of Diverse Experts for Large-Scale Visual Recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

    2. Effective 3D Shape Retrieval by Integrating Traditional Descriptors and Pointwise Convolution[J]. IEEE Transactions on Multimedia (TMM), 2019.

    3. Partial Person Re-identification with Two-stream Network and Reconstruction[J]. Nurocomputing, 2019.

    4. Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2018.

    5. Integrating Multi-level Deep Learning and Concept Ontology for Large-scale Visual Recognition[J]. Pattern Recognition (PR), 2018.

    6. Deep Point Convolutional Approach for 3D Model Retrieval[C]. IEEE International Conference on Multimedia and Expo (ICME), 2018 (Best Paper Award).

    7. HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition[J]. IEEE Transactions on Image Processing (TIP), 2017.

    8. iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2017.

    9. Shape Similarity Assessment based on Partial Feature Aggregation and Ranking Lists[J]. Pattern Recognition Letters (PRL), 2016.

    10. Multiscale Shape Context and Re-ranking for Deformable Shape Retrieval[J]. Computers and Graphics (CG), 2016 (CAD/Graphics2015 Best Paper Award).

    11. Retrieval of Non-rigid 3D Shapes from Multiple Aspects[J]. Computer-Aided Design (CAD), 2015.

    12. Exploration in Improving Retrieval Quality and Robustness for Deformable Non-rigid 3D Shapes[J]. Multimedia Tools and Applications (MTA), 2015.

    13. Discovering the Latent Similarities of the KNN Graph by Metric Transformation[C]. ACM International Conference on Multimedia Retrieval, 2015.

  • [1] ICME2018最佳论文奖

    [2] CAD / Graphics2015最佳论文奖