Yongqing Liang (xmlyqing00)

xmlyqing00

Geek Repo

Company:Texas A&M University

Location:Texas, USA

Home Page:lyq.me

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Yongqing Liang's repositories

OBJViewer

An online OBJ file viewer based on three.js and webgl.

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ApporxTSP

Approximate algorithms for traveling salesman problem.

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aster.pytorch

ASTER in Pytorch

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BlessingCollector

A web based app for collecting friends' birthday blessing.

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cascade-stereo

cascade-stereo

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d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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darts

Differentiable architecture search for convolutional and recurrent networks

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FCN-pytorch

🚘 Easiest Fully Convolutional Networks

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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gaps

A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:

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grobid

A machine learning software for extracting information from scholarly documents

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grobid-client-python

Simple python client for GROBID Web services

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hpatches-benchmark

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

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JSAnimations

Use Javascript to create animations for illustrations and visualization.

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lf-net-release

Code Release for LF-Net: Learning Local Features from Images

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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OANet

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

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OSVOS-PyTorch

PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)

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pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks.

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pytorch_flownet2

Off-the-shelf FlowNet module in PyTorch

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rfnet

RF-Net: An End-to-End Image Matching Network based on Receptive Field

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RGMP

Fast Video Object Segmentation by Reference-Guided Mask Propagation

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STM

Video Object Segmentation using Space-Time Memory Networks

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SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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SuperPoint

Efficient neural feature detector and descriptor

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SuperPointPretrainedNetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

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three.js

JavaScript 3D library.

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UCSNet

Code for "Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness"

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VOS-evaluation

Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges

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