Name: Rohit Kundu
Type: User
Company: Google (YouTube)
Bio: Student Researcher @ Google | Ph.D. student @ Video Computing Group, UCR
Twitter: rohitkundu_2000
Location: California, USA
Blog: https://rohit-kundu.github.io/
Rohit Kundu's Projects
Altruistic Whale Optimization Algorithm (AltWOA)
Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.
Deep feature selection using GA for classification of cervical cytology images.
Based on our paper "Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans".
[CVPR-2022] '' Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches'', IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
Official implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)
Based on our paper "Pneumonia Detection from Chest X-ray Images using a Novel Weighted Average Ensemble Model" published in Nature- PlosOne
An Ensemble Transfer Learning Network for COVID-19 detection from lung CT-scan images.
A repo for various filter-based feature ranking methods.
Based on our paper on Sugeno Fuzzy Integral fusion of CNN classifiers for COVID-19 detection from Lung CT scan image data.
Based on our paper on "A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology" published in Nature- Scientific Reports.
A hybrid feature selection algorithm combining Filter based methods and a Wrapper method.
Hybrid (Strong) Wrapper Algorithm combining Manta-Ray Foraging Optimization and Opposition-Based Harmony Search.
Hybrid of two Wrapper feature selection algorithms for feature selection.
Based on our paper on skin lesion segmentation: "MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation"
:fire: A series of code examples for all sorts of machine learning tasks and applications.
Based on our paper "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selection Method".
List of Research Internships for Undergraduate Students
About Me
Based on our paper on Multi-Objective Harris Hawk's Optimization with Altruism for Unsupervised Brain MRI Segmentation
Official implementation of our paper on Single Image Super-Resolution Using a Residual Channel Attention Network.
Feature Extraction is an integral step for Image Processing jobs. This repository contains the python codes for Traditional Feature Extraction Methods from an image dataset, namely Gabor, Haralick, Tamura, GLCM and GLRLM.
Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science