Xiaoguang Tu's Home Page

Xiaoguang Tu (涂晓光):

CV: Ph.D. Candidate of School of Communication and Information Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.

Research field: Face Recognition; Medical Image Processing; Computer vision; Deep Learning.

Publications: 

[1] Xiaoguang Tu, Jingjing Gao, Mei Xie, et al. “Illumination normalization based on correction of large-scale components for face
recognition” [J]. Neurocomputing (SCI, 二区, Top, IF: 4.072). 2017.
[2] Xiaoguang Tu, Mei Xie, et al. “Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT
Images with Convolutional Neural Network” [J]. Scientific Reports (SCI, 三区, IF: 4.011). 2017.
[3] Xiaoguang Tu, Jingjing Gao, et al. “MR image segmentation and bias field estimation based on coherent local intensity clustering with
total variation regularization” [J]. Medical & Biological Engineering & Computing (SCI, 三区, IF: 2.039). 2016.
[4] Xiaoguang Tu, Hengsheng. Zhang, et al. “Deep Transfer Across Domains for Face Anti-spoofing” [J]. Journal of Electronic Imaging
(SCI, 四区, IF: 0.924). 2019.
[5] Xiaoguang Tu, Feng Yang, et al. “Illumination Normalization for Face Recognition Using Energy Minimization Framework” [J]. IEICE
TRANSACTIONS on Information and Systems (SCI, 四区, IF: 0.576). 2017.
[6] Xiaoguang Tu, Yao Luo, et al. “Face attribute manipulation based on self-perception GAN” [C]. 2020 4th International Conference on
Machine Vision and Information Technology. (CMVIT 2020, EI)
[7]  Hao ge, Xiaoguang Tu*, et al. “Face Anti-Spoofing by the Enhancement of Temporal Motion” [C]. 2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization. (CVIV 2020, EI, 共同一作+通信)

非一作文章

[8] Hao Ge, Xiaoguang Tu, et al. “ASP-CNN: aligning semantic parts for fine-grained image classification” [J]. Journal of Electronic
Imaging (SCI, 四区). 2019.
[9] Hao Ge, Xiaoguang Tu, et al. “Pre-processing for fine-grained image classification” [J]. IEICE TRANSACTIONS on Information and
Systems (SCI, 四区). 2017.
[10] Yao Luo, Xiaoguang Tu, et al. “Learning Robust 3D Face Reconstruction and Discriminative Identity Representation” [C]. IEEE 2nd
International Conference on Information Communication and Signal Processing. (ICICSP 2019, EI)
[11] Hao Ge, Xiaoguang Tu, et al. “The Smaller the Better: Fine-Grained Image Classification with Compressed Networks” [C]. 11th
International Symposium on Computational Intelligence and Design (ISCID 2018, EI)
[12] Jian Zhao, Jianshu Li, Xiaoguang Tu, et al. “Multi-prototype networks for unconstrained set-based face recognition” [C]. 29th
International Joint Conference on Artificial Intelligence. (IJCAI 2019, Top)
成果概述:
个人google scholar主页: https://b.glgoo.top/citations?hl=zh-CN&user=FAPvP7AAAAAJ
博士期间共发表期刊和会议论文15篇, 包括五篇一作的SCI论文, 两篇一作的EI会议; 另有两篇一作的顶级会议ECCV 2020
在投, 两篇一作的2区及1区期刊(ACM TIST, IEEE TMM) 在投。 Google Scholar总引用79次; 单篇文章最高引18次; 第
一作者发表文章的总影响因子达11.6+

posted on 2017-03-03 11:24  Kevin.Tu  阅读(1340)  评论(0编辑  收藏  举报