Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

Last update: Oct 06, 2022

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Overview

Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

This is the official repository of "Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning", ICCV 2021.

The code will be released soon.

Owner

Hanbyel Cho

GitHub Repository

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Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

Related tags

Overview

Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

Owner

Hanbyel Cho

Server files for UltimateLabeling

Implementation of a Transformer using ReLA (Rectified Linear Attention)

PyTorch implementation of EGVSR: Efficcient & Generic Video Super-Resolution (VSR)

Safe Local Motion Planning with Self-Supervised Freespace Forecasting, CVPR 2021

TJU Deep Learning & Neural Network

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Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles

ONNX-GLPDepth - Python scripts for performing monocular depth estimation using the GLPDepth model in ONNX

Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.

MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。

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