Ripon Kumar Saha's Projects
Experimenting with Deep Learning
A curated list of deep learning resources for computer vision
Datasets, jupyter notebooks and documentation used for BuildwithAI hackathon
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
Estimating cn2 from image sequences
This repository contains data for COVID19 and a Transfer Learning Based model for classification
Project related to deep Learnign
Presentation of my advisor professor Euiheon Chung
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCVW 2019 https://arxiv.org/abs/1901.00212
Learning to See in The Dark - Efficient implementation in PyTorch
Meibomian Gland Dysfunction Dataset with 1000 images
MRI Super Resolution with a Deep 3D Resnet Variant using Perceptual Loss
Atmospheric Turbulence Image Generation
Ray Tracing in One Weekend
A list of data sets and other resources for light fields for computer vision
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Useful code for later use
Website Presentation
Some Code To be deployed on Streamlit Server
Official Implementation of the CVPR 2024 Paper: "Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence"
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
Turbulence Strength Estimation from Images using Gradient Approach
Turbulence dataset with Images and Cn2 values
Doing Some changes to Turbulence Simulator to make it work
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
Dataset of Unsupervised Region Growing algorithm in Turbulence