Xiangyu Zhu (朱翔昱)

Associate Professor

National Laboratory of Pattern Recognition
Institute of Automation, Chinese Academic of Sciences
Beijing 100190, China

Email: xiangyu.zhu@nlpr.ia.ac.cn frank.xy.zhu@gmail.com

[Google Scholar]

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Work Experience

l  2019now, Associate Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences.

l  20172019, Assistant Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences.

Education

l  20122017, Ph.D in National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academic of Sciences, supervised by Prof. Stan Z. Li.

l  20082012, B.S in College of Computer Science, Sichuan University.

Research Interest

My research interest includes machine learning and pattern recognition, especially face recognition, face alignment and 3D morphable model.

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Conference Papers

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Professional Activities

·        Tutorial The Security Challenge in Face Recognition in CCBR 2019 [link].

·        Competition Organization Grand Challenge of 106-p Facial Landmark Localization in ICME 2019 [link].

·        Program Committee for CVPR, ICCV, ECCV, AAAI, FG, ICB.

·        Reviewer for IJCV, TIP, TMM, TIFS, TSVCT, PR, Neurocomputing.

 

Honors & Awards

·        2020 Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences

·        2020 Supported by JD AI Research Visiting Scholar Program

·        2019 Best Doctoral Dissertation Finalist, China Society of Image and Graphics (CSIG).

·        2019 The Champion of ICCV19 DeepGlint-Large Track in Light Weight Face Recognition Challenge.

·        2018 ICME Best Student Paper Award Runner-up.

·        2017 The Winner of FG2017 facial micro-expression recognition competition.

·        2017 CCBR Best Student Paper Award.

·        2017 National scholarship in Chinese Academy of Sciences.

·        2011 National scholarship in Sichuan University.

 

Public Projects

·        3DDFA_V2: Better 3D face reconstruction by ECCV 2020 [Github], 1.3k.

·        3DDFA: Real-time 3D face reconstruction by PAMI 2017 [Github], 2.9k.

·        MeGlass: An eyeglass face dataset collected and cleaned for face recognition evaluation [Github].