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Satoshi Gachi Fujimoto's Projects

3d-ken-burns icon 3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3dcnn icon 3dcnn

3D convolutional neural network for video classification

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

3dmfv-net icon 3dmfv-net

Point cloud classification in Real-time using 3DmFV representation and CNNs

6dposeestimationcnn icon 6dposeestimationcnn

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.

a-loam icon a-loam

Advanced implementation of LOAM

ab3dmot icon ab3dmot

Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020

accv_tinygan icon accv_tinygan

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

adabins icon adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

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