David Miraut's repositories
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
Awesome-Ultrasound-Standard-Plane-Detection
A curated list of awesome ultrasound standard plane detection/localization/localisation/extraction/classification/selection/identification/recognition.
Awesome-Vision-Transformer-for-Domain-Adaptation-Transfer-Learning
Recent vision transformer-based domain adaptation papers
Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.
Devil-Is-in-the-Details
Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".
dynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
E-Pix2Vox-reconstruction
Code to implement "Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views"
fully-homomorphic-encryption
Libraries and tools to perform fully homomorphic encryption operations on an encrypted data set.
image2video-synthesis-using-cINNs
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
LogGabor
A python implementation for a LogGabor filtering and pyramid representation
milletari_rl_us_navigation
RL framework built for my thesis in reinforcement learning based robot navigation for medical imaging during my masters in "Robotics, Cognition and Intelligence" at the Technical University of Munich.
NDC
PyTorch implementation of Neural Dual Contouring.
neural-knitworks
Source code for "Neural Knitworks: Patched neural implicit representation networks"
NMC
PyTorch implementation for paper Neural Marching Cubes.
pysdf
Parallelized triangle mesh --> continuous signed distance field on CPU
PyTorchVideoCompression
PyTorch implementation and benchmark of Video Compression
QXS-SAROPT
Optical and SAR pairing dataset
sam-mmrotate
SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.
SAR_to_Optical
Converting SAR images from sentinel 1 to RGB images using Deep learning (GANs).
Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
Seamless-Satellite-image-Synthesis
code for paper -- "Seamless Satellite-image Synthesis"
Seg2Sat
Using StableDiffusion and ControlNet to generate synthetic aerial images
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Thrasos-STSIM
Objective metrics for measuring visual texture similarity using STSIM features. Supervised by Thrasos Pappas.
unisal
Unified Image and Video Saliency Modeling (ECCV 2020)
yolov7
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥