A visual programming patching environment for OF

Visual Computing : Markerless Motion and/or Pose and/or Face detection and/or tracking and it's 3D reconstruction (in real time)

Official Implementation of "Visual Agentic Memory: Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval"

2 projects for NUS EE5731 Visual Computing, Semester1 AV21/22.

Parses 3 dictionaries from PDFs, reconstructs lost formatting using N-gram and visual computing methods, and serializes to a database for web display.

Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

A Canny and SIFT-based visual computing program that reconstructs syllabic formatting based on images of words.

A library to visualize (keplerian) orbital movements of a satellite network in 3D using OpenGL® 4.2.

DigitalOrganism is an interactive, visually captivating cellular automaton simulation that explores the fascinating world of emergent patterns and complexity. This project, inspired by Multiple Neighborhood Cellular Automata.

The goal of this project is to build a instance segmentation model that is able to detect and segment airplanes from the satelite images from the airporst around the world.

Repository with Deep Learning implementations in Jupyter Notebooks

Stereo vision system implementing camera calibration, SIFT feature matching, and 3D point cloud reconstruction.

A Matlab implementation of support vector machines.

Bachelorarbeit TU Wien

Tiny 3D game, project of the course "Introduction à l'informatique visuelle"

Repository of subjects during my M.Sc. in Computer Science

A modular Python-based GUI that integrates multiple computer vision and image processing assignments into a single interactive application.

An experimental Base-256 visual encoding system that represents a full byte using a single layered glyph

Comprehensive collection of computer graphics algorithms implemented in C++ with OpenGL/GLUT. Includes DDA, Bresenham, 3D transformations, clipping algorithms, and more. Perfect for learning graphics programming.

This is a Matlab implementation of a Convolution Neural network (CNN) that has been trained with the MNIST dataset to recognize handwritten numbers. Some of the functionality was implemented with the help of Yasutake Furukawa in the Computer Vision (CMPT412) class at SFU