Name: Satoshi Gachi Fujimoto
Type: User
Company: Knowledge Communication Co.,Ltd.
Bio: co-founder #KumaMCN / KnowComInc R&D / #Azure #HoloLens #MRPP / #AWS #ML / #CV #SLAM #Python / #WHILL #自動運転 / #メタバース #XR / #Databricks / #くまもとDX / 高専卒
Twitter: sotongshi
Location: Kumamoto, JAPAN
Blog: https://www.gachimoto.com/
Satoshi Gachi Fujimoto's Projects
Interpreter, Dynamically Typed, Iteractive language
データサイエンス100本ノック(構造化データ加工編)
🦠 Interactive dashboard of COVID-19 cases in Japan
Pixel Perfect Camera
3D都市モデル(CityGML形式)データ変換ツール for ArcGIS
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
A resource repository for 3D machine learning
Moebius Transformations of 3D spaces on 4D sphere in Vertex shader and C# in Unity 3D
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
3D ResNets for Action Recognition
[CVPR2020] Learning multiview 3D point cloud registration
3D convolutional neural network for video classification
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Point cloud classification in Real-time using 3DmFV representation and CNNs
3D printable models for HoloLens
An Invitation to 3D Vision: A Tutorial for Everyone
Multi Stage Convolutional Neural Network Based 6D Pose Estimation. In this repo, I provide code for my [IROS 2018 ]paper, "Detect Globally, Label Locally: Learning Accurate 6-DOF Object Pose Estimation by Joint Segmentation and Coordinate Regression". Paper proposes a deep architecture with an instance-level object segmentation network that exploits global image information for object/background segmentation and a pixel-level classification network for coordinate regression based on local features. We evaluate our approach on the standard ground-truth 6-DOF pose estimation benchmarks and show that our joint approach to accurate object segmentation and coordinate regression results in the state-of-the-art performance on both RGB and RGB-D 6-DOF pose estimation.
7セグメントディスプレイの数値を認識するプログラム
Advanced implementation of LOAM
🎨 Paint in VR in your browser.
Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020
BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression
Official implementation of Adabins: Depth Estimation using adaptive bins
Udacity Self-Driving Car Engineer.
Code repository for Advanced Machine Learning with Python, published by Packt