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
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Compact Band Weighting Module Based on Attention-Driven for Hyperspectral Image Classification
CCF农产品价格预测线上rank2代码
Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures (BIBM 2020).
Fully Convolutional Instance-aware Semantic Segmentation
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A TensorFlow implentation of fixed size kernel CNN
2D Convolutional Neural Network for land use and land cover classification of radar and hyperspectral images
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.
I will be trying to replicate the results first of the paper on Deep Feature Extraction on HSI images using DL techniques and then later work on optimisations.
Pytorch Implementation of the paper ["Cross-domain Correspondence Learning for Exemplar-based Image Translation"](https://panzhang0212.github.io/CoCosNet)
csdn上面的一些相关代码
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification
This is a project to test the random sampling strategy in hyperspectral image classification.
A technical report on convolution arithmetic in the context of deep learning
Multi-layer convolutional LSTM with Pytorch
copper price(time series) prediction using bpnn and lstm
吴恩达老师的机器学习课程个人笔记
Image Analysis, Classification and Change Detection in Remote Sensing
Cross Domain CNN for Hyperspectral Image Classification
计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍
The tensorflow and keras based implementation of "Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification" in the IEEE-GRSL.
A GAN based framework for adding and removing medical evidence in 3D volumetric medical scans
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Implementation of CycleGAN for unsupervised image segmentaion, performed on brain tumor scans
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.