Mesh Skeleton Extraction Using Laplacian Contraction

Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

2D Frame Inbetweening

Blurred image generation and image sharpness evaluation (Brenner, Laplacian, SMD, etc.).

OpenCV program Edge detection in real time

Real-time Object Pose Estimation based on ORB Algorithm according to Feature Extraction Method, KISM2021-Fall.

Code for the BMVC'21 Oral paper "Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance"

Magnetic Graph Convolutional Networks v1

Code for the BMVC'21 Oral paper "Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance"

This project is modelled using the Laplacian varaince and Laplacian maximum of an image and used to predict if the image is blurred or not. The image with high variance and high maximum are expected to have sharp edges i.e.it's a clear image, whereas the image with less variance and less maximum are expected to be a blur image.

Fast, scalable, and extensive implementations of Poisson image editing algorithms.

[ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

laplacian-sebel-prewitt-opencv

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

Image Processing techniques using OpenCV and Python.

Recommendation System by Using Factorized based matrix completion MGCNN+RNN

Simple image sharpening demonstration using Laplacian convolution filter. Grayscale Only.