Name: WenxueCui
Type: User
Company: Harbin Institute of Technology
Bio: Assistant Professor in Harbin Institute of Technology. Research interests include: Image/Video Coding, Computer vision, Image/Video restoration, Diffusion.
Location: Harbin, China
WenxueCui's Projects
The code of paper "An End-to-End Compression Framework Based on Convolutional Neural Networks". TCSVT
This the source code of the paper "When Steganography Meet Compressed Sensing"
Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"
Deep Learning/Deep neural network-based Image/Video (Quantized) Compressed/Compressive Sensing (Coding)
Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.
The implement of paper "Learning Deformable Kernels for Image and Video Denoising" in PyTorch.
Official code of paper "Deep neural network based sparse measurement matrix for image compressed sensing" ICIP2018
Reimplement of Burst Denoising with Kernel Prediction Networks and Multi-Kernel Prediction Networks for Denoising of Image Burst by using PyTorch.
Officical code of paper "An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios" ICASSP2018
Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.
Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
Config files for my GitHub profile.