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周修庄
- 教师英文名称：Zhou Xiuzhuang
- 电子邮箱：xiuzhuang.zhou@bupt.edu.cn
- 所在单位：智能工程与自动化学院
- 学历：研究生毕业
- 办公地点：创新楼411
- 性别：男
- 学位：博士学位
- 职称：教授
- 在职信息：在职
- 毕业院校：北京理工大学
- 博士生导师
- 硕士生导师
- 所属院系：智能工程与自动化学院
访问量：
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[11]Z. Wei,J. Jin,K. Song,T. Xiu,G. Guo."IDS-Net: Improved Down-sampling Method for Semantic Segmentation of Class-imbalanced Large-Scale Point Clouds," The 1st Challenge on Large Scale Point-cloud Analysis for Urban Scenes Understanding (Urban3D), ICCV, 2021. (Winner Award).[C]
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[12]X. Zhang,M. Xu,X. Zhou,G. Guo."Supervised Contrastive Learning for Facial Kinship Recognition," The 5th Recognizing Families In the Wild Data Challenge, IEEE FG, 2021. (Winner Award; Best Paper Award).[C]
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[13]P. Huang,Z. Wei,G. Guo."Energy-Based Supervised Hashing for Multimorbidity Image Retrieval," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021..[C]
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[14]X. Zhou,Z. Wei,M. Xu,S. Qu,G. Guo."Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning," IEEE Transactions on Affective Computing (TAFFC), 2020..[J]
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[15]X. Zhou,K. Jin,Y. Shang,G. Guo."Visually Interpretable Representation Learning for Depression Recognition from Facial Images," IEEE Transactions on Affective Computing (TAFFC), 2020..[J]
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[16]X. Zhou,K. Jin,Q. Chen,M. Xu,Y. Shang."Multiple face tracking and recognition with identity-specific localized metric learning," Pattern Recognition, 2018.
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[17]H. Yan,J. Lu."Prototype-based discriminative feature learning for kinship verification," IEEE Transactions on Cybernetics (TCYB), 2015..[J]
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[18]J. Lu,V.E. Liong,X. Zhou,J. Zhou."Learning compact binary face descriptor for face recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2015..[J]
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[19]J. Lu,X. Zhou,Y.-P. Tan,Y. Shang,J. Zhou."Neighborhood repulsed metric learning for kinship verification," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2014..[J]
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[20]H. Yan,J. Lu,W. Deng,X. Zhou."Discriminative multimetric learning for kinship verification," IEEE Transactions on Information Forensics and Security (T-IFS), 2014..[J]
