XgTu
Ph.D. candidate of School of Communication and Information Engineering, UESTC. My interests include Computer Vision and Deep Learning.
Chengdu, P.R. China
Pinned Repositories
2DASL
The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）
Standardized-rPPG-signal-generation
This method proposes a standardized rPPG signal generation method Using Generative Adversarial Networks(GAN) can effectively reduce the noise in the waveform generated by rppg and improve its signal-to-noise ratio
training_codes_for_PRNet_3D_Face
The training code for PRNet in Tensorflow Version
TV_CLIC
Matlab code for Brain Segmentation based on CLIC with total variation
XgTu.github.io
XgTu's Repositories
XgTu/2DASL
The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）
XgTu/training_codes_for_PRNet_3D_Face
The training code for PRNet in Tensorflow Version
XgTu/TV_CLIC
Matlab code for Brain Segmentation based on CLIC with total variation
XgTu/Standardized-rPPG-signal-generation
This method proposes a standardized rPPG signal generation method Using Generative Adversarial Networks(GAN) can effectively reduce the noise in the waveform generated by rppg and improve its signal-to-noise ratio
XgTu/XgTu.github.io