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Uğur KILIÇ's Projects

2s-agcn icon 2s-agcn

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

as-gcn icon as-gcn

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

cfm-hri-rgb-d-action-database icon cfm-hri-rgb-d-action-database

UESTC RGB-D Varying-view action database. This multi-view action database is captured by Kinect v2.0 with modality of RGB video, 3D skeleton sequences and depth map sequences.

computer-vision-guide icon computer-vision-guide

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

ctr-gcn icon ctr-gcn

[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

data-structures-and-algorithms icon data-structures-and-algorithms

An Open-Source repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository is to help students who are learning Data Structures and Algorithms or preparing for an interview.

decouplegcn-dropgraph icon decouplegcn-dropgraph

The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deephar icon deephar

Deep human action recognition and pose estimation

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgnn-pytorch icon dgnn-pytorch

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

draggan icon draggan

Official Code for DragGAN (SIGGRAPH 2023)

ds-gcn icon ds-gcn

The implement for Dynamic Semantic-based Graph Convolution Network for Skeleton-based Human Action Recognition

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