Ravicmoon
Received Ph.D. at Hanyang Univ, Seoul, Korea. Research interests include pattern recognition, machine learning, autonomous vehicle, and video surveillance
LightVision Inc.Seoul, Korea
Pinned Repositories
bgslibrary
A background subtraction library
bitcoin-dev-msvc
Bitcoin Visual Studio development environment
bitcoin-seeder
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
dissertation
Ph.D. dissertation written using LaTeX at Hanyang Univ, Seoul, Korea
dot-imaging
Minimalistic .NET imaging portable platform
facenet
Face recognition using Tensorflow
Ravicmoon's Repositories
Ravicmoon/dissertation
Ph.D. dissertation written using LaTeX at Hanyang Univ, Seoul, Korea
Ravicmoon/bgslibrary
A background subtraction library
Ravicmoon/bitcoin-dev-msvc
Bitcoin Visual Studio development environment
Ravicmoon/bitcoin-seeder
Ravicmoon/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Ravicmoon/dot-imaging
Minimalistic .NET imaging portable platform
Ravicmoon/facenet
Face recognition using Tensorflow
Ravicmoon/icecream-cpp
🍦 Never use cout/printf to debug again
Ravicmoon/libspimage
Ravicmoon/markdown-content
Markdown content for the www.aerobatic.io website
Ravicmoon/monodepth
Unsupervised single image depth prediction with CNNs
Ravicmoon/pl_gaze_estimation
Ravicmoon/PlotNeuralNet
Latex code for making neural networks diagrams
Ravicmoon/pytorch_mpiigaze
An unofficial PyTorch implementation of MPIIGaze and MPIIFaceGaze
Ravicmoon/pytorch_mpiigaze_demo
Gaze estimation using MPIIGaze and MPIIFaceGaze
Ravicmoon/quick-portfolio
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Ravicmoon/ravicmoon.github.io
Personal page of Moonsoo Ra
Ravicmoon/spsim
Single particle diffraction calculator simulator
Ravicmoon/tf.DenseNet
Tensorflow implementation of DenseNet (https://arxiv.org/abs/1608.06993)
Ravicmoon/tf.FCN
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)