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aecr-net

Contrastive Learning for Compact Single Image Dehazing, CVPR2021

ahong007007-awesome_computer_vision

ai_projects

从2019年4月起完成的各种人工智能相关工程

alexnet-experiments-keras

Code examples for training AlexNet using Keras and Theano

as-gcn

The model architecture of AS-GCN (for human action recognition)

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

awesome-dehazing

A curated list of awesome dehazing papers

bedde-for-defogging

BeDDE is a real-world benchmark dataset for evaluations of defogging methods.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cvpr2019

cvpr2019 papers，极市团队整理

cvpr2020-code

CVPR 2020 论文开源项目合集

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearning_notes_cv

:tangerine: tensorflow、keras；python基础、numpy、matplotlib、scikit-learn等；python图像处理(opencv/gdal/matlab等)。

dehazenet

DehazeNet: An End-to-End System for Single Image Haze Removal

dehazezoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

derainzoo

DerainZoo for collecting deraining methods, datasets, and codes.

diffusion-gradient-descent-tls

MATLAB code for [R. Arablouei, S. Werner, and K. Doğançay, “Diffusion-based distributed adaptive estimation utilizing gradient-descent total least-squares,” in Proc. Int. Conf. Acoust., Speech Signal Process., Vancouver, Canada, May 2013, pp. 5308-5312.]

fd-gan

FD-GAN: Generative adversarial Networks with Fusion-discriminator for Single Image Dehazing(AAAI'20)

haze-removal-1

计算机视觉大作业-----去雾算法研究

haze_2014

Reimplement of Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing(CVPR 2014)

image-processing-algorithm

paper implement

improved-resnet-action-recognition-skeletal-data

This repository is an implementation of "Exploiting deep residual networks for human action recognition from skeletal data" by Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, and Sergio A. Velastin. You can train deep Residual Networks on skeletal data for action recognition tasks from scratch.

learning-3d-action-from-skeletonst-with-resnet

This repository is an implementation of "Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks (ICPRS-17)" by Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, and Sergio A. Velastin.

libpku

贵校课程资料民间整理

low-light-image-enhancement-resources

This is a resouce list for low light image enhancement

mans

Memory Attention Networks, in IJCAI 2018

models

Models and examples built with TensorFlow