深圳大学新葡的京集团350vip8888
College of Computer Science and Software Engineering, SZU
侯贤旭

副研究员

计算机视觉研究所

Email:xianxu.hou@szu.edu.cn

侯贤旭

      侯贤旭,现为深圳大学新葡的京集团350vip8888副研究员。主要研究方向为深度学习在图像处理和计算机视觉中的应用,具体研究工作包括基于生成对抗网络的人脸图像生成和编辑,以及医学影像分析。

研究成果:

[1] Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhihui Lai, and Jun Wan. GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing. Neural Networks 145 (2022): 209-220.
[2] Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhong Ming. Lifelong Age Transformation with a Deep Generative Prior. IEEE Transactions on Multimedia, 2022.
[3] Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, and Guoping Qiu. Class-aware domain adaptation for improving adversarial robustness. Image and Vision Computing (2020): 103926. 
[4] Xianxu Hou, Ke Sun, Linlin Shen, and Guoping Qiu. Improving variational autoencoder with deep feature consistent and generative adversarial training. Neurocomputing 341 (2019): 183-194.
[5] Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, and Guoping Qiu. Learning deep image priors for blind image denoising. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. 
[6] Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, and Guoping Qiu. Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.
[7] Xianxu Hou, Linlin Shen, Ke Sun, and Guoping Qiu. Deep feature consistent variational autoencoder. IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.

主持广东省自然科学基金项目两项。

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