Jianzhu Guo（郭建珠）
I graduated from Southeast University with B.S. in GIS (Geographical Information System).
Now, I am a Ph.D. student at National Laboratory of Pattern Recognition, Chinese Academy of Sciences, supervised by Prof. Zhen Lei and Prof. Stan Z. Li, where I mainly research on face-related fields, including face recognition, 3D face, face anti-spoofing, face analysis and meta learning, deep learning.
Email: jianzhu.guo@nlpr.ia.ac.cn or guojianzhu1994@foxmail.com GitHub / Google Scholar / WeChat / LinkedIn / Blog Looking for a full-time job. |
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Publications |
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Learning Meta Face Recognition in Unseen DomainsJianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li CVPR 2020 (Oral Presentation, acceptance rate 5%) arxiv / paper / code We propose a novel face recognition method via meta-learning named Meta Face Recognition (MFR) to learn a generalized model performing well on unseen domains. Besides, we propose two benchmarks for generalized face recognition evaluation. The proposed benchmarks will be available at https://github.com/cleardusk/MFR. |
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Domain Balancing: Face Recognition on Long-Tailed DomainsDong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei CVPR 2020 arxiv / paper / This paper proposes a Domain Frequency Instructor (DFI), a light weighted Residual Balancing Mapping (RBM) block and a Domain Balancing Margin (DBM) to improve generalization on tailed domains. |
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Improving Face Anti-Spoofing by 3D Virtual SynthesisJianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li International Conference On Biometrics, ICB 2019 (Oral Presentation, acceptance rate 11.2%) arxiv / paper / We present a method to synthesize virtual spoof data in 3D space to improve face anti-spoofing. The synthetic virtual samples can significantly boost the anti-spoofing performance when combined with a proposed data balancing strategy. |
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Face Synthesis for Eyeglass-Robust Face RecognitionJianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li CCF Chinese Conference on Biometric Recognition (CCBR2018), Urumqi, China, Aug. 11-12, 2018 arxiv / paper / code In the application of face recognition, eyeglasses could significantly degrade the recognition accuracy. In this paper, we propose to address this problem in a virtual synthesis manner. |
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Dominant and Complementary Emotion Recognition From Still Images of FacesJianzhu Guo, Zhen Lei, Jun Wan, et al. IEEE Access, 6(1), 26391-26403, 2018 paper / code External journal version. |
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Multi-modality Network with Visual and Geometrical Information for Micro Emotion RecognitionJianzhu Guo, Shuai Zhou, Jinlin Wu, Jun Wan, Xiangyu Zhu, Zhen Lei, Stan Z. Li FG2017, Washington, DC. May 30 –June 3, 2017 paper / code Winner of face micro-emotion competition held on FG 2017. |
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3DMA: A Multi-modality 3D Mask Face Anti-spoofing DatabaseJinchuan Xiao, Yinhang Tang, Jianzhu Guo, Yang Yang, Xiangyu Zhu, Zhen Lei, Stan Z. Li 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019 paper / We release a multi-modality 3D mask face anti-spoofing database named 3DMA, which contains 920 videos of 67 genuine subjects wearing 48 kinds of 3D masks, captured in visual (VIS) and near-infrared (NIR) modalities. |
Under Review |
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Searching for Alignment in Face RecognitionXiaqing Xu, Qiang Meng, Jianzhu Guo, Yunxiao Qin, Chenxu Zhao Under Review (MM-20), 2020 |
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Towards Fast, Accurate and Stable 3D Dense Face AlignmentJianzhu Guo, Xiangyu Zhu, Yang Yang, Zhen Lei, Yang Fan, Stan Z. Li Under Review (ECCV-20), 2020 |
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Beyond 3DMM Space: Towards Fine-grained 3D Face ReconstructionXiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li Under Review (ECCV-20), 2020 |
Competitions |
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Projects (Public) |
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MeGlass: An eyeglass face dataset collected and cleaned for face recognition evaluation
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Source code for 1st winner of face micro-emotion competition held on FG 2017.
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