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ecg-atrial-fibrillation-classification-using-cnn

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy. The dataset details are given at the How to use section.

eco

Matlab implementation of the ECO tracker.

edge-ai-platform

edge-ai-platform-tutorials

This is a new documentation repository

embedding-bilateral-filter-in-least-squares-for-efficient-edge-preserving-image-smoothing

This is the released code for the following paper: "Embedding bilateral filter in least squares for efficient edge-preserving image smoothing." by Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang, IEEE Transactions on Circuits and Systems for Video Technology (2018).

f8net

[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

facequalityenhancementoflowre

fast-guided-filter

Fast Guided Filter by Kaiming He

fastmcd

implementation of the paper "Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device", CVPRW13

fastmot

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

ffm

It is the implement of paper “Fractional-Order Fusion Model for Low-Light Image Enhancement”

find-ur-rythm

Collect EEG data and use machine learning to validate the impact of different musics on the brain

fpga-zynqnet

FPGA-based ZynqNet CNN accelerator developed by Vivado_HLS

fpga_based_cnn

FPGA based acceleration of Convolutional Neural Networks. The project is developed by Verilog for Altera DE5 Net platform.

frcnn

Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

fuzzy-fusion-based-hdr-imaging

matlab code for 2015 Fuzzy fusion based HDR imaging using adaptive histogram separation

generalized-smoothing-framework

This is the released code for the following papers: A generalized framework for edge-preserving and structure-preserving image smoothing. Liu W, et al., TPAMI 2021, AAAI 2020

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

goturn-pytorch

GOTURN tracking implemented in PyTorch

gradnet-tensorflow

The code of GradNet based on Tensorflow

guided-filter

Guided Filter by Kaiming He

hdr-deghosting-using-motion-registration-free-fusion-in-the-luminance-gradient-domain

Motion-Registration-Free Gradient Fusion for HDR Deghosting

hdr-fusion

Robust Ghost-free HDRI based on Visual Salience and Stack Extension

hdr-imaging

High Dynamic Range Imaging: alignment, fusion and tone mapping

hdr-multi-exposure-image-fusion-source-code

Matlab Source Code of article “ A Precise Multi-Exposure Image Fusion Method Based on Low-level Features” research use only. Please cite： Qi, G.; Chang, L.; Luo, Y.; Chen, Y.; Zhu, Z.; Wang, S. A Precise Multi-Exposure Image Fusion Method Based on Low-level Features. Sensors 2020, 20, 1597. BIBTEX: @Article{s20061597, AUTHOR = {Qi, Guanqiu and Chang, Liang and Luo, Yaqin and Chen, Yinong and Zhu, Zhiqin and Wang, Shujuan}, TITLE = {A Precise Multi-Exposure Image Fusion Method Based on Low-level Features}, JOURNAL = {Sensors}, VOLUME = {20}, YEAR = {2020}, NUMBER = {6}, ARTICLE-NUMBER = {1597} }

hdr_and_reflectionsuppress_osmosis_filtering

Reflection suppression and HDR fusion based on osmosis filtering

hdr_image_fusion_in_matlab

Image fusion especially for low light conditions photography, using multiple photographs

hierarchical-human-parsing

hieraseg

CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.

histogram-equalization

Histogram Equalization