Name: Daniel Guo
Type: User
Company: Ocean University of China
Bio: Hello, this is Daniel Guo.
I am currently pursuing a PhD degree in OUC under Prof. Junyu Dong. My interets include CV, MM and hand image understanding.
Location: Qingdao, Shandong Province, China
Daniel Guo's Projects
Work done as part of my Masters degree in Computational Statistics and Machine Learning at University College London
A simple baseline for 3d human pose estimation in PyTorch.
A simple Zero-Shot demo for CLIP-Hand 3D.
Pytroch version of Convolutional Pose Machines
Convolutional Pose Machines implemented by PyTorch
Distribution-Aware Coordinate Representation for Human Pose Estimation
Data augmentation for cloud train datasets.
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
Graph Convolutional Networks (GCNs)
3D Hand Shape and Pose Estimation from a Single RGB Image
An simple implement(PyTorch version) of Hourglass.
The repository contains a seris of network structure that design for image classifications.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Using a single RGB frame for real time 3D hand pose estimation in the wild
Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20
This is an official Pytorch implementation of "Cross View Fusion for 3D Human Pose Estimation, ICCV 2019".
Maintain your CV in Markdown :sparkles:
Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019
This repository contains some codes that process some data (especially for images).
The code for Pseudo Stereo for Root-Absolute 3D Hand Pose and Shape Estimation.
PyTorch implementation for 3D human pose estimation
Pytorch implementation of "Stacked Hourglass Networks for Human Pose Estimation"
《Pytorch模型训练实用教程》中配套代码
The PyTorch implementation of ResNeXt+SELayer for image classification.
Model-based 3D Hand Reconstruction via Self-Supervised Learning, CVPR2021
Github Pages for academic personal websites.