A CUDA and OpenCV project implementing GPU accelerated Median and Bilateral Filters for Stereo Vision tasks.

An AI-powered medical information and imaging analysis system featuring web applications, secure database management, machine learning-powered predictions, and robust testing capabilities for healt…

A Relation-enhanced Graph Convolutional Network for multimodal named entity recognition, leveraging external matching relations between text-image pairs to improve task performance.

Pretrained Keras vision models, offering object detection, segmentation, vision-language models, and advanced backbone-weight support for flexible and efficient applications.

A robust and efficient deep learning framework implemented in C++ for continuous development and research.

High-performance Infiniband network simulation and bottleneck exploration for distributed machine-learning systems using OMNeT++. Components include task generator, routing controller, and virtual …

An interactive computer vision app utilizing two pre-trained deep learning models for image classification. Users can upload images from files, webcams, or URLs and visualize predictions, all power…

An advanced open-source implementation of Density-driven Iterative Prototype Optimization (DIPO) for Transductive Few-shot Learning.

An open-source tool for interactive 3D volumetric medical image registration, featuring polygonal mesh viewing, CT data inspection, and advanced registration techniques.