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H HU's Projects

3ddfa icon 3ddfa

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

age-gender-pred icon age-gender-pred

Age and gender prediction of multiple faces from an image using pytorch.

alphapose icon alphapose

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

bert icon bert

TensorFlow code and pre-trained models for BERT

cihp_pgn icon cihp_pgn

Code repository for Part Grouping Network, ECCV 2018

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode、Java、C++、Python、后端面试、计算机操作系统、计算机网络、系统设计

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

democlassi icon democlassi

DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dirt icon dirt

DIRT: a fast differentiable renderer for TensorFlow

ecom-rakuten icon ecom-rakuten

Winning solution for the Rakuten Data Challenge, as part of SIGIR eCom '18.

fvcore icon fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

int4027groupproject icon int4027groupproject

Restaurant App, dish ordering, table booking, review posting, with login/register/admin functionality.

jate icon jate

NEWS: JATE2.0 Beta.9 Released, see details below.

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