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Yang Di's Projects

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

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

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

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

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

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

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

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

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