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
Parallel Neural Network for Hyperspectral image classification
An implementation of SRGAN model in Keras
Code for the Paper "Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification"
Superpixel segmentation using SLIC with Python.
“华为云杯”2020深圳开放数据应用创新大赛 ·深圳北站周边交通拥堵指数预测代码方案
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Tensorflow相关教程
Simple and ready-to-use tutorials for TensorFlow
raw code!
Tensorflow tutorial from basic to hard
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
tensorflow的一些实例
Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification, TGRS, 2020.
Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image Classification, TGRS, 2021.
One has no future if one couldn't teach themself.
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images
RNN LSTM Time Series
Enhance torchvision for semantic segmentation, multi-channel images and TIF file,...
Spectral–Spatial Classification of Hyperspectral Image Based on Self-adaptive Deep Residual 3D Convolutional Neural Network
Traffic Prediction using LSTM method.
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Everything about Transfer Learning and Domain Adaptation--迁移学习
This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.
Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
Pytorch impelementation for Temporal Segment Networks (TSN) in ECCV 2016
Understanding Convolution for Semantic Segmentation
This repertory contains some resources which I learn new technologies
The semantic segmentation of remote sensing images
Deep Vessel Segmentation by Learning Graphical Connectivity