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cmcode

Ming-Ming Cheng's open source projects

cmdf-denoiser

Efficient cascading of multi-domain image Gaussian noise filters

cnmnet

ECCV 2020

cnn

Deep Residual Learning for Image Restoration(SISR/Denoising) : Persistent Homology-Guided Manifold Simplification

cnn_deconvolution

cnndroid

Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

co-fusion

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

co-mixup

Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)

co3d

Tooling for the Common Objects In 3D dataset.

coatnet-pytorch

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".

cocopie-modelzoo

cocosnet-v2

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

codeslam

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

color-matcher

automatic color-grading

color-unmixing

Unofficial re-implementation of Aksoy et al.'s soft segmentation method [2017]

coloren

This is a implementation of "example-based image color and tone style enhancement"(SIGGRAPH-2011)

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

compactcnncascade

A binary library for fast and robust detection of simple objects using compact CNNs.

compare_gan

Compare GAN code.

comprehensive-sample-set-image-matting

An implementation of "Improving image matting using comprehensive sample sets" by Shahrian & al.

compress_yolo

对yolo模型进行网络压缩、修剪等实验

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

condensa

Programmable Model Compression

condensenet

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

condensenetv2

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

consingan

Official implementation of the paper "Improved Techniques for Training Single-Image GANs" by Tobias Hinz, Matthew Fisher, Oliver Wang, and Stefan Wermter

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

content-preserving-tone-adjustment-for-image-enhancement

Image Enhancement Competition - NTIRE19 - CVPR19