Pinned Repositories
Automatic-Road-Crack-Detection
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
ceng-407-408-2017-2018-project-blood-vessel-segmentation
ceng-407-408-project-blood-vessel-segmentation created by GitHub Classroom
crackDetector
a robust graph network refining algorithm guided by multi-scale curvilinear structure filtering (CFGNR) for pavement crack detection
cse527-computervision
The repository contains implementation of "Texture-Consistent Shadow Removal"
CurvatureFilter
Curvature Filters are efficient solvers for Variational Models
L2LP-NUC
A hybrid $\ell_{2}$-$\ell_{p}$ variational model for single infrared image intensity nonuniformity correction with structure prior
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
Pavement-Crack-Dataset
We have published two new pavement crack image dataset, named Cics Dataset and Leis Dataset.
PCmPA-PCmFFA
In this repository, two types of robust multi-scale anisotropy features, namely PCmPA and PCmFFA, that considering the local contextual information of curvilinear structures are extracted from phase congruency maps for the effective discrimination of isotropic structures and curvilinear structures.
DrEdwardLee's Repositories
DrEdwardLee/PCmPA-PCmFFA
In this repository, two types of robust multi-scale anisotropy features, namely PCmPA and PCmFFA, that considering the local contextual information of curvilinear structures are extracted from phase congruency maps for the effective discrimination of isotropic structures and curvilinear structures.
DrEdwardLee/L2LP-NUC
A hybrid $\ell_{2}$-$\ell_{p}$ variational model for single infrared image intensity nonuniformity correction with structure prior
DrEdwardLee/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
DrEdwardLee/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DrEdwardLee/AI-News
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
DrEdwardLee/Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
DrEdwardLee/Awesome-UIE
Awesome Underwater Image Enhancement (UIE) Methods
DrEdwardLee/C2PNet
[CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
DrEdwardLee/DARTS
Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
DrEdwardLee/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
DrEdwardLee/Deep-Learning
DrEdwardLee/DeepCVLab
Multi-modal object detection | Waymo dataset
DrEdwardLee/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
DrEdwardLee/Exposure_Correction
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
DrEdwardLee/FANet
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
DrEdwardLee/FLW-Net
A Fast and Lightweight Network for Low-Light Image Enhancement
DrEdwardLee/FUnIE-GAN
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch
DrEdwardLee/Keras-Semantic-Segmentation
Keras-Semantic-Segmentation
DrEdwardLee/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open
DrEdwardLee/LLIE_Survey
Resources for our paper "Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond"
DrEdwardLee/lstm_multi_modal_UNet
Implementation of ICIVC 2019 paper "LSTM multi-modal UNet for Brain Tumor Segmentation"
DrEdwardLee/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
DrEdwardLee/MICCAI2019-OpenSourcePapers
MICCAI 2019 Open Source Papers
DrEdwardLee/ModelsGenesis
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
DrEdwardLee/multichannel-unet-bss
Introducing multi-channel U-Net for Music Source Separation trained using weighted multi-task loss.
DrEdwardLee/MultiResUNet
MultiResUNet implementation in PyTorch; MultiResUNet: Rethinking the U-Net Architecture for Multimodal
DrEdwardLee/Underwater-Image-Enhancement
Summary of Publicly Available Underwater Image Enhancement Method
DrEdwardLee/UNet-Accuracy-Complexity
Pytorch implementation of the paper "Deep Neural Network for Multi-Organ Segmentation with Higher Accuracy and Lower Complexity"
DrEdwardLee/UNet-CRF-RNN
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation
DrEdwardLee/YOLO-Fish
A robust fish detection model for real-time underwater fish detection in any marine environments.