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dothuhahb98's Projects

alphapose icon alphapose

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

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

cubic2equi icon cubic2equi

MATLAB script that converts cubic images into an equirectangular representation

cviqdatabase icon cviqdatabase

A Large-scale Compressed 360-Degree Spherical Image database

dbcnn icon dbcnn

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

dbcnn-pytorch icon dbcnn-pytorch

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

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"

deepqa-with-pytorch icon deepqa-with-pytorch

Re-implement the work from "Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework"

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 platform for object detection, segmentation and other visual recognition tasks.

equi2cubic icon equi2cubic

MATLAB script that converts equirectangular images into six cube faces

fairmot icon fairmot

A simple baseline for one-shot multi-object tracking

ffmpeg-python icon ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

fovgcn icon fovgcn

Code for "AN EFFECTIVE FOVEATED 360° IMAGE ASSESSMENT BASED ON GRAPH CONVOLUTION NETWORK" paper

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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)"

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