YunhengWu-IB
Ph.D. student at Nagoya University. Interested in medical image processing.
Nagoya UniversityNagoya, Japan
YunhengWu-IB's Stars
xuguodong03/SSKD
[ECCV2020] Knowledge Distillation Meets Self-Supervision
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
lucidrains/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
zdaxie/PixPro
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
poncey/CellDART-pytorch
An unofficial implementation of 'CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomics data'.
haitongli/knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Beckschen/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Hramchenko/diffusion_distiller
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
yfeng95/DECA
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
s-shailja/ucsb_ctc
This code was submitted to Cell Tracking Challenge, ISBI 2020.
WangLabTHU/CellTracker
CellTracker: An Automated Toolbox for Single-Cell Segmentation and Tracking in Microscopy Images
talbenha/cell-tracker-gnn
[ECCV 2022] Official PyTorch implementation of the paper - Graph Neural Network for Cell Tracking in Microscopy Videos
brikeats/Cell-Tracking
Python scripts for tracking cells in fluorescent microscopy.
stegmaierj/CellSynthesis
3D Fluorescence Microscopy Data Synthesis for Segmentation and Benchmarks
MLNeurosurg/hidisc
satijalab/seurat
R toolkit for single cell genomics
lukemelas/unsupervised-image-segmentation
[ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
mcellteam/cellblender
Create, Simulate, Visualize, and Analyze Realistic 3D Cell Models
fogleman/CellularForms
An implementation of Andy Lomas' Cellular Forms.
cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
Mirsadeghi/Awesome-Unsupervised-Segmentation
Awesome Unsupervised Segmentation
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Image-Py/imagepy
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
saeed-anwar/RIDNet
Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
vessap/vessap
Experimental code and examples for: Automated analysis of whole brain vasculature using machine learning
chcomin/pyvesto
Python Blood Vessel Topology Analysis
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
aaaaangel/RRDNet
Implementation of "Zero-Shot Restoration of Underexposed Images via Robust Retinex Decomposition, International Conference on Multimedia and Expo, 2020"
dawnlh/awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement