luben2018

luben2018

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inverse-dynamics

Inverse dynamics analysis of one gait cycle during fast and slow walking

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EMG_Crosstalk_Decomposition_Workshop

Theis repository contains notebooks that was developed to teach how the Principal Component Analysis (PCA) and Independent Component Analysis (ICA) works and how them can be used to decompose high-density surface electromyogram (HD sEMG) signals using the well-known FastICA algorithm.

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OpenSimRT

Real-time musculoskeletal kinematics and dynamics analysis using marker- and IMU-based solutions

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DeepLearningForTSF

深度学习以进行时间序列预测

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LSTM

基于LSTM神经网络的时间序列预测

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ResNeSt

ResNeSt: Split-Attention Network

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monoloco

[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing

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awesome-3D-vision

3D computer vision incuding SLAM,VSALM,Deep Learning,Structured light,Stereo,Three-dimensional reconstruction,Computer vision,Machine Learning and so on

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RandLA-Net

RandLA-Net in Tensorflow (CVPR 2020, Oral)

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Sparse-Depth-Completion

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)

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pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning.

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PoseFix_RELEASE

Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019

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Scan2CAD

[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

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tfjs-models

Pretrained models for TensorFlow.js

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awesome-depth-completion

papers and code for depth completion

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s2cnn

Spherical CNNs

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3D-SIS

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

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learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

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Lifting-from-the-Deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

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pose-estimation-detection

Implementation of openpose with tensorflow & openCV for estimation of human poses & classification.

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DISN

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

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3DIndoor-SceneGraphNet

PyTorch implementation of 'SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation' ICCV 2019

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VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

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3d-pose-baseline

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

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frustum-convnet

The PyTorch Implementation of F-ConvNet for 3D Object Detection

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