Soonmin Hwang's repositories
rgbt-ped-detection
KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15]
caffe-segmentation
Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]
py-pointcloud-viewer
Python point cloud viewer with PyQT
caffe-for-seg-det
Merged version of caffe for segmentation and detection
DeepGTAV
A plugin for GTAV that transforms it into a vision-based self-driving car research environment.
dilation
Dilated Convolution for Semantic Image Segmentation
DiscoGAN-pytorch
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
dispnet-flownet-docker
Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
dni.pytorch
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
dong_iccv_2017
A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
images_annotation_programme
Online web tool for image annotation (Pascal VOC format used in Image Recognition)
monodepth
Unsupervised single image depth prediction with CNNs
nuscenes-devkit
The devkit of the nuScenes dataset.
OSVOS-caffe
One-Shot Video Object Segmentation
pdb-tutorial
Korean version of pdb tutorial (https://github.com/spiside/pdb-tutorial)
pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
soonminhwang.github.io
Build a Jekyll blog in minutes, without touching the command line.
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
tensorboard-pytorch
tensorboard for pytorch
video_prop_networks
Code for our CVPR17 paper on "Video Propagation Networks"
VisualRecognition
물체인식을 위한 컴퓨터 비전 (기초편)