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ye-xiyong's Projects

alphapose icon alphapose

Real-Time Multi-Person Pose Estimation System

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

carn-pytorch icon carn-pytorch

Official implementation of Efficient Cascading Residual Network for SR

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

high-quality-ellipse-detection icon high-quality-ellipse-detection

A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.

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)"

libfacedetection icon libfacedetection

A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.

lightnet icon lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

mfqe2.0 icon mfqe2.0

Multi-frame Quality Enhancement on Compressed Video

mganet icon mganet

PyTorch implementation of "MGANet: A Robust Model for Quality Enhancement of Compressed Video"

mman-win32 icon mman-win32

Automatically exported from code.google.com/p/mman-win32

mnemonics icon mnemonics

PyTorch implementation of "Mnemonics Training: Multi-Class Incremental Learning without Forgetting" (CVPR2020)

pecnn icon pecnn

A Progressively Enhanced Network for Video Satellite Imagery Super-Resolution

r2cnn_head_fpn_tensorflow icon r2cnn_head_fpn_tensorflow

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network

sof-vsr icon sof-vsr

Repository for "Learning for Video Super-Resolution through HR Optical Flow Estimation", ACCV 2018

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