Rui Wang (BatFaceWayne)

BatFaceWayne

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Rui Wang's repositories

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

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aerial_mapper

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

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BatFaceWayne

Config files for my GitHub profile.

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BiSeNet

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

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bottom-up-attention

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

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bundler_sfm

Bundler Structure from Motion Toolkit

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cgal

The public CGAL repository, see the README below

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deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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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.

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

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imbalanced-dataset-sampler

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

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LightNetPlusPlus

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

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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

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PointSDF

A point cloud based, implicit surface reconstruction learning architecture.

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PolyFit

Polygonal Surface Reconstruction from Point Clouds

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python-pcl

Python bindings to the pointcloud library (pcl)

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pytorch-segmentation-detection

Image Segmentation and Object Detection in Pytorch

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slidev

Presentation Slides for Developers (Public Beta 🎉)

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TCMR_ft_Egobody

This is the repo of TCMR fine-tuning on Egobody dataset

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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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