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Rui Wang's Projects

aerial_mapper icon aerial_mapper

Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

bisenet icon bisenet

mIOU=78.4 on cityscapes. My implementation of paper: BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

bottom-up-attention icon bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

cgal icon cgal

The public CGAL repository, see the README below

deeplabv3 icon deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

draco icon draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

lightnetplusplus icon lightnetplusplus

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

pointsdf icon pointsdf

A point cloud based, implicit surface reconstruction learning architecture.

polyfit icon polyfit

Polygonal Surface Reconstruction from Point Clouds

pov_surgery icon pov_surgery

This the official repo for our paper: POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities; at MICCAI 2023

python-pcl icon python-pcl

Python bindings to the pointcloud library (pcl)

slidev icon slidev

Presentation Slides for Developers (Public Beta 🎉)

tf-eager-yolo3 icon tf-eager-yolo3

Yolo-v3 model was implemented with tensorflow eager style. I also implemented the eager model's training function and applied it to other datasets (digit detector, vehicle detector).

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