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.

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

Skeletonization of 3D Point Clouds

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

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

High Dimensional Numerical and Symbolic Calculus in R

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

Mesh Skeleton Extraction Using Laplacian Contraction

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

A Julia package for manipulating data in the Riemannian manifold of positive definite matrices

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

Matlab Implementation of journal "A fusion-based enhancing method for weakly illuminated images" by XueyangFu, DeluZeng, YueHuang, YinghaoLiao, XinghaoDing, JohnPaisley, Signal Processing Journal, Elsevier, May 2016

Tensor algebra utility library

Image processing codes written in python

Edge Detection Using Sobel,Prewitt Operator and Laplacian Operator

variational Bayesian algorithm for Brain MR image Segmentation

Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory

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