Youngjoo-Kim

3-min-pytorch

<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드

3D-MiniNet

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

3D-point-capsule-networks

3D Point Capsule Networks

3D-Shape-Analysis-Paper-List

A list of recent papers, libraries and datasets about 3D shape/geometry analysis (by topics, updating).

3D_multiview_reg

Learning multiview 3D point cloud registration

cs231n_PAPERs_study

[Not started]Group study reading papers based on Stanford CS231n course by AI Robotics KR

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space

Xinshuo_PyToolbox

A Python toolbox that contains common help functions for stream I/O, image & video processing, and visualization. All my projects depend on this toolbox.

Youngjoo-Kim/awesome_autonomous_vehicle_contents

자율주행 개발자를 위한 컨텐츠 모음

Youngjoo-Kim/BDL

Youngjoo-Kim/cadc_devkit

A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

Youngjoo-Kim/cvml_project

Projects and application using computer vision and machine learning

Youngjoo-Kim/DefRec_and_PCM

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Youngjoo-Kim/depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

Youngjoo-Kim/GRNet

Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion" (Xie et al., ECCV 2020).

Youngjoo-Kim/handson-ml2

핸즈온 머신러닝 2/E의 주피터 노트북

Youngjoo-Kim/hardnet

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Youngjoo-Kim/hector_calibration

ROS packages related to calibration of robots and subsystems (cameras, LIDAR, kinematics)

Youngjoo-Kim/ibeo_ros2

Rebuild the code for IBEO 8l lux LiDAR in ROS2 env.

Youngjoo-Kim/LiDAR-Iris

LiDAR Iris for Loop-Closure Detection(IROS 2020)

Youngjoo-Kim/littleballoffur

A graph sampling extension library for NetworkX.

Youngjoo-Kim/multi_sensor_calibration

Youngjoo-Kim/Open3D

Open3D: A Modern Library for 3D Data Processing

Youngjoo-Kim/pandaset-devkit

Youngjoo-Kim/panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Youngjoo-Kim/Panoptic-Tracking

Youngjoo-Kim/PointDAN

Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".

Youngjoo-Kim/Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Youngjoo-Kim/radiate_sdk

SDK developed to access data from RADIATE dataset

Youngjoo-Kim/radius_2d_outlier_removal_filter

Point cloud filter that excludes points which don't have minimum number of neighbors in cylinder.

Youngjoo-Kim/ResNeSt

ResNeSt: Split-Attention Network

Youngjoo-Kim/SampleNet

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Youngjoo-Kim/superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Youngjoo-Kim/svr-algorithm

A spherical volume rendering algorithm that performs ray casting through a spherical voxel grid.

Youngjoo-Kim/Tools_Merge_Image_PointCloud

Project the PointCloud to the image & Generate the LiDAR PointCloud with color.

Youngjoo-Kim/waymo-rosbag-record

tool to convert waymo open dataset to rosbag

Youngjoo-Kim/waymo_ros

This is a ROS package to connect Waymo open dataset to ROS

Youngjoo-Kim/xmuda

Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation