Weijie Wei's starred repositories
SensatUrban-BEV-Seg3D
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
Urban3D-2021-2nd
The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
torchprofile
A general and accurate MACs / FLOPs profiler for PyTorch models
torch-points3d
Pytorch framework for doing deep learning on point clouds.
python-cheatsheet
Comprehensive Python Cheatsheet
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
SensatUrban
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
vuepress-homepage
:page_facing_up: Elegant & friendly homepage (bio, tech portfolio, resume, doc...) template with Markdown and VuePress
MV-SalGAN360
The improved version of our previous work SalGAN360 which predict visual saliency on 360° image
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
n-reference
[ECCV 2020] n-Reference Transfer Learning for Saliency Prediction
awesome-ielts
An awesome list for students who prepare for IELTS in public domains (on-going)
ASD_classification
Classification of ASD (autism spectrum disorder) vs TD (typically developing) children based on their scanpaths of image viewing [ICME2019 GrandChallenge "Saliency4ASD" submission]