Name: Wenchao QI
Type: User
Company: Aerospace Information Research Institute, Chinese Academy of Sciences
Bio: Assistant Researcher at AIR, CAS, China. I'm mainly engaged in deep learning in Hyperspectral Computer Vision.
Location: No. 20, Datun Road, Chaoyang District, Beijing, China
Wenchao QI's Projects
100-Days-Of-ML-Code中文版
2020“华为云杯”人工智能大赛季军方案分享
3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
Reconstruction from sparse 3D models to dense 3D models by CycleGANs and extra autoencoder training.
paper:Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification
3D GAN for MRI modality transformation
3D super-resolution using Generative Adversarial Networks
A resource repository for 3D machine learning
3D Liver Segmentation with GAN
Models used for our paper submission
GAN code for generating lung nodule ct scans
Keras Implementation of 3D Encoder-Decoder Generative Adversarial Network (3D-ED-GAN) for 3D shape Completion
Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification
3DGAN-Pytorch
3D Graph Neural Networks for RGBD Semantic Segmentation
Super-Resolution for Hyperspectral Remote Sensing Image Using Generative Adversarial Network based on 3D Convolution Network
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
The following demo is associated with the following paper "A Fast 3D CNN for Hyperspectral Image Classification".
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Implementation of paper "Learning Spectral-Spatial Prior Via 3DDnCNN for Hyperspectral Image Deconvolution" (ICASSP 2020)
Ideas for a more advanced Python class for GIS and Remote Sensing, https://gbrunner.github.io/Advanced_Python_for_GIS_and_RS/
Advanced Deep Learning with Keras, published by Packt
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Code for the paper: "Neural Network for Aerosol Retrieval from Hyperspectral Imagery" available at: https://www.atmos-meas-tech-discuss.net/amt-2019-228/
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
Code and data: Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
Bug-tracking for Jeff's algorithms book, notes, etc.