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Dongdong Li's Projects

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3ddfa icon 3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

3dsmoothnet icon 3dsmoothnet

[CVPR19] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arxivtimes icon arxivtimes

repository to research & share the machine learning articles

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-3d-vision icon awesome-3d-vision

3D computer vision incuding SLAM,VSALM,Deep Learning,Structured light,Stereo,Three-dimensional reconstruction,Computer vision,Machine Learning and so on

awesome-bert icon awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目

awesome-cuda icon awesome-cuda

This is a list of useful libraries and resources for CUDA development.

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-holistic-3d icon awesome-holistic-3d

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

awesome-model-quantization icon awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

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