yuan-zm

RandLA-Net-pytorch

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

BEVContrast

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation

SCLIP

Official implementation of SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

Collaborative-Distillation

PyTorch code for our CVPR-20 paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"

DGT-ST

HIVE-Net

HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images

LiDAR_UDA

This repo focuses on self-training-based methods for 3D outdoor driving scenario LiDAR point clouds UDA segmentation.

Mitochondria-Segmentation-from-EM-Images-via-Hierarchical-Structured-Contextual-Forest

Mitochondria Segmentation from EM Images via Hierarchical Structured Contextual Forest

RandLA-Net-pytorch-1

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

yuan-zm.github.io

yuan-zm/DGT-ST

yuan-zm/HIVE-Net

HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images

yuan-zm/LiDAR_UDA

This repo focuses on self-training-based methods for 3D outdoor driving scenario LiDAR point clouds UDA segmentation.

yuan-zm/Collaborative-Distillation

PyTorch code for our CVPR-20 paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"

yuan-zm/Mitochondria-Segmentation-from-EM-Images-via-Hierarchical-Structured-Contextual-Forest

Mitochondria Segmentation from EM Images via Hierarchical Structured Contextual Forest

yuan-zm/RandLA-Net-pytorch-1

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

yuan-zm/yuan-zm.github.io