Choi-Tae-min's Stars
google-research/google-research
Google Research
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GT-RIPL/Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
cszn/BSRGAN
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
fbcotter/pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
baal-org/baal
Bayesian active learning library for research and industrial usecases.
richard-peng-xia/awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
naver/kapture
kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
cvg/sfm-disambiguation-colmap
Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures
burglarhobbit/Awesome-Medical-Large-Language-Models
Curated papers on Large Language Models in Healthcare and Medical domain
nianticlabs/wavelet-monodepth
[CVPR 2021] Monocular depth estimation using wavelets for efficiency
IlliaOvcharenko/lung-segmentation
Lung segmentation for chest X-Ray images
ShuweiShao/AF-SfMLearner
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
lasinger/3DVideos2Stereo
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
mesutpiskin/opencv-fisheye-undistortion
OpenCV camera calibration and image undistortion.
daigo0927/pwcnet
PWC-Network with TensorFlow
Emory-HITI/EMBED_Open_Data
Data descriptor and sample notebooks for the Emory Breast Imaging Dataset (EMBED) hosted on the AWS Open Data Program
autonomousvision/connecting_the_dots
This repository contains the code for the paper "Connecting the Dots: Learning Representations for Active Monocular Depth Estimation" https://avg.is.tuebingen.mpg.de/publications/riegler2019cvpr
DurrLab/C3VD
Colonoscopy 3D Video Dataset (C3VD) acquired with a high definition clinical colonoscope and high-fidelity colon models for benchmarking computer vision methods in colonoscopy.
YYM-SIA/LINGMI-MR
A geometry-aware deep network for depth estimation in monocular endoscopy
ConstantinSeibold/ChestXRayAnatomySegmentation
marrlab/Med-AL-SSL
Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets
ArnaudFickinger/MegaDepth-Training
PyTorch implementation of MegaDepth with training code
GiladGecht/Barrel-And-Pincushion-Distortion-Fix
Fixing Barrel & Pincushion distortion using OpenCV with GUI
mobarakol/SwinUNet_Depth
nistring/Ultrasound-Optimal-View-Detection
jmayank23/ActiveLearning-CIFAR10
Active Leaning Demo using CIFAR10 dataset in PyTorch
jybaek/chat-backend-server
hidayatkhan013/Surgical-Tool-images-Classification-directory-automation-tool
kalyanksk/lungs_segmentation
Lung segmentation in chest X-ray images using U-Net