已毕业学生
何振梁 2015级博士生
研究小组: 人脸识别
研究方向: Computer Vision, Generative Adversarial Networks
去向:
个人简介

Homepage: https://lynnho.github.io


GitHub: https://github.com/LynnHo


经历

教育经历

Institute of Computing Technology, Chinese Academy of Sciences, 2015-2021, Ph.D.

Beijing University of Posts and Telecommunications, 2011-2015, B.S.


学术服务
研究内容
著论

论文

Zhenliang He, Meina Kan, Shiguang Shan, "EigenGAN: Layer-Wise Eigen-Learning for GANs," IEEE International Conference on Computer Vision (ICCV), 2021. [pdf]


Zhenliang He, Meina Kan, Shiguang Shan, Xilin Chen, "S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals," IEEE International Conference on Computer Vision (ICCV Oral), pp. 9440-9449, Seoul, Korea, Oct. 27-Nov. 2, 2019. [pdf]


Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen, "AttGAN: Facial Attribute Editing by Only Changing What You Want," IEEE Transactions on Image Processing (TIP), vol. 28, no. 11, pp. 5464 – 5478, November 2019. [pdf]


Zhenliang He, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen, "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System," IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Hawaii, 2017. (2nd Place of the MENPO Challenge) [pdf]


Zhenliang He, Meina Kan, Jie Zhang, Xilin Chen, Shiguang Shan, "A Fully End-to-End Cascaded CNN for Facial Landmark Detection," IEEE International Conference on Face and Gesture Recognition (FG), Washington, 2017. [pdf]


Xuyang Guo, Meina Kan, Zhenliang He, Xingguang Song, Shiguang Shan, "Image Style Disentangling for Instance-Level Facial Attribute Transfer," Computer Vision and Image Understanding (CVIU), vol. 207, June 2021. [pdf]


Shuzhe Wu, Mein Kan, Zhenliang He, Shiguang Shan, Xilin Chen, "Funnel-Structured Cascade for Multi-View Face Detection with Alignment-awareness," Neurocomputing, vol. 221, no. 19, pp. 138–145, 2017. [pdf]