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Xiaoguang Tu
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- 2021
[j13]Xiaoguang Tu
, Jian Zhao
, Mei Xie, Zihang Jiang, Akshaya Balamurugan, Yao Luo, Yang Zhao
, Lingxiao He
, Zheng Ma, Jiashi Feng
:
3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild. IEEE Trans. Multim. 23: 1160-1172 (2021)- 2020
[j12]Xiaoguang Tu
, Zheng Ma, Jian Zhao, Guodong Du, Mei Xie, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. ACM Trans. Intell. Syst. Technol. 11(5): 60:1-60:19 (2020)
[i12]Xiaoguang Tu, Yao Luo, Hengsheng Zhang, Wenjie Ai, Zheng Ma, Mei Xie:
Face Attribute Invertion. CoRR abs/2001.04665 (2020)
[i11]Hao Ge, Xiaoguang Tu, Yanxiang Gong, Mei Xie, Zheng Ma:
What's the relationship between CNNs and communication systems? CoRR abs/2003.01413 (2020)- 2019
[j11]Linjie Deng, Yanxiang Gong
, Yi Lin
, Jingwen Shuai, Xiaoguang Tu, Yuefei Zhang, Zheng Ma, Mei Xie:
Detecting multi-oriented text with corner-based region proposals. Neurocomputing 334: 134-142 (2019)
[j10]Hao Ge, Xiaoguang Tu, Mei Xie, Zheng Ma:
ASP-CNN: aligning semantic parts for fine-grained image classification. J. Electronic Imaging 28(2): 023024 (2019)
[j9]Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma:
Deep transfer across domains for face antispoofing. J. Electronic Imaging 28(4): 043001 (2019)
[i9]Xiaoguang Tu, Jian Zhao, Mei Xie, Guodong Du, Hengsheng Zhang, Jianshu Li, Zheng Ma, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. CoRR abs/1901.05602 (2019)
[i8]Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma:
Deep Transfer Across Domains for Face Anti-spoofing. CoRR abs/1901.05633 (2019)
[i7]Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma:
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture. CoRR abs/1901.05635 (2019)
[i5]Xiaoguang Tu, Jian Zhao, Zihang Jiang, Yao Luo, Mei Xie, Yang Zhao, Linxiao He, Zheng Ma, Jiashi Feng:
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning. CoRR abs/1903.09359 (2019)
[i2]Hao Ge, Xiaoguang Tu, Mei Xie, Zheng Ma:
Defending from adversarial examples with a two-stream architecture. CoRR abs/1912.12859 (2019)- 2018
[c19]Hao Ge, Xiaoguang Tu, Mei Xie, Zheng Ma:
The Smaller the Better: Fine-Grained Image Classification with Compressed Networks. ISCID (1) 2018: 37-40
[i1]Linjie Deng, Yanxiang Gong, Yi Lin, Jingwen Shuai, Xiaoguang Tu, Yuefei Zhang, Zheng Ma, Mei Xie:
Detecting Multi-Oriented Text with Corner-based Region Proposals. CoRR abs/1804.02690 (2018)- 2017
[j7]Xiaoguang Tu, Feng Yang, Mei Xie, Zheng Ma:
Illumination Normalization for Face Recognition Using Energy Minimization Framework. IEICE Trans. Inf. Syst. 100-D(6): 1376-1379 (2017)
[j6]Hao Ge, Feng Yang, Xiaoguang Tu, Mei Xie, Zheng Ma:
Pre-Processing for Fine-Grained Image Classification. IEICE Trans. Inf. Syst. 100-D(8): 1938-1942 (2017)
[j5]Xiaoguang Tu
, Jingjing Gao, Mei Xie, Jin Qi, Zheng Ma:
Illumination normalization based on correction of large-scale components for face recognition. Neurocomputing 266: 465-476 (2017)- 2016
[j4]Xiaoguang Tu, Jingjing Gao, Chongjin Zhu, Jie-Zhi Cheng, Zheng Ma, Xin Dai, Mei Xie:
MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization. Medical Biol. Eng. Comput. 54(12): 1807-1818 (2016)

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