Stars
StarDist - Object Detection with Star-convex Shapes
Joint training of denoising and segmentation.
This is a deep-learning-based pattern unmixing pipeline for protein subcellular localization to quantitatively estimate the fractions of proteins localizing in different subcellular compartments fr…
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
A collection of tools for painting super-resolution images
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction
MambaOut: Do We Really Need Mamba for Vision?
A python library for self-supervised learning on images.
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly …
The official Pytorch code for AutoUnmix, an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging
Single-Molecule Localization Microscopy - Software Benchmarking - Challenge 2016
(ARXIV24) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
LabRAD control for the EGGS experiment at UCLA.
SwinIR: Image Restoration Using Swin Transformer (official repository)
SRDTrans: Spatial redundancy transformer for self-supervised fluorescence image denoising
DeepCAD-RT: Real-time denoising of fluorescence time-lapse imaging using deep self-supervised learning
Finalist's solution in the track of Oriented Object Detection in Remote Sensing Images, 2022 Guangdong-Hong Kong-Macao Greater Bay Area International Algorithm Competition.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots