Yang Di (YangDi666)

YangDi666

Geek Repo

Company:@INRIA

Location:France

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Yang Di's repositories

UNIK

[BMVC 2021 Oral] Official implementation of our paper "A Unified Framework for Real-world Skeleton-based Action Recognition" on Toyota Smarthome/Penn Action/NTU-RGB+D/Posetics datasets

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2s-AGCN-For-Daily-Living

2s-AGCN on Smarthome (dataset for daily living)

Video_3D_Pose_Estimation

3D pose estimation from video : LCRNet2D+VideoPose3D

SSTA-PRS

[WACV 2021] Selective Spatio-Temporal Aggregation based Pose Refinement System: Towards understanding human activities in real-world videos.

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Project-Vision2-Clock_Recognition

Qt application with OpenCV for clock recognition

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3DMPPE_POSENET_RELEASE

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image ", ICCV 2019

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Basic-Algos

Common basic algorithms learning summary

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Human-knee-angles-estimation

Knee flexion/extension angles estimation for a person who walks towards an RGB-D camera

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Project-Info5-Brick_Breaker

Project of Info5 : Game development using C++, QT Creator and OpenCV, OpenGL

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Project-Info6-Android_Application

Android development project

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Projects-Info2-NoSQL

Basic use of the NoSQL database

State-of-the-art-for-humain-pose-estimation

Tests of the algos open source for SK 2D/3D

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2s-AGCN

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

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AS-GCN

The model architecture of AS-GCN (for human action recognition)

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CS-Notes

:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

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MS-G3D

PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition", CVPR 2020

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Project-Info1-Game_FreeCell

A small game developed by C++ with CImg library

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Project-Info6-Web_Application

Web application developed by Java SpringBoot

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Project-Info6-Web_Service

Client-server Website development

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Project-Vision1-Coins_Recognition

Matlab application with GUI

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SemGCN

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

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Unofficial-DGNN-PyTorch

Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".

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VideoPose3D

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

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View-Adaptive-Neural-Networks-for-Skeleton-based-Human-Action-Recognition

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

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g3an-project

[CVPR 20] G3AN: Disentangling Appearance and Motion for Video Generation

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Latent_Action_Composition

[ICCV 2023] Latent Action Composition for Skeleton-based Action Segmentation

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