Peiliang (PeiliangLi)

PeiliangLi

Geek Repo

Company:HKUST Robotics Institute

Home Page:https://peiliangli.github.io/

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Organizations
HKUST-Aerial-Robotics

Peiliang's repositories

VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

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master_thesis_code

Code for my master thesis: Vehicle Detection and Pose Estimation for Autonomous Driving

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Teach-Repeat-Replan

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

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vimrc

The ultimate Vim configuration: vimrc

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djiros

A modified https://github.com/dji-sdk/Onboard-SDK-ROS

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flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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GMS-Feature-Matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

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Stereo-RCNN

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

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VINS-Mobile

Monocular Visual-Inertial State Estimator on Mobile Phones

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3D-Deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

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avod

Code for 3D object detection for autonomous driving

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caffe

Caffe: a fast open framework for deep learning.

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dso

Direct Sparse Odometry

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faster_rcnn_pytorch

Faster RCNN with PyTorch

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FastMaskRCNN

Mask RCNN in TensorFlow

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flownet2-pytorch

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

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lsd_slam

LSD-SLAM

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Mask-RCNN

Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf

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models

Models and examples built with TensorFlow

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mots_tools

Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

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yolo-9000

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

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