Batch-efficient EigenDecomposition for Small and Medium Matrices
A Pytorch-based batch-efficient ED solver for small and medium matrices (dim<32), which is dedicated to the application scenarios of computer vision.
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A Pytorch-based batch-efficient ED solver for small and medium matrices (dim<32), which is dedicated to the application scenarios of computer vision.
An augmentation-free unsupervised approach for point clouds to learn transferable point-level features via soft clustering, (SoftClu).
A new Attention-Guided Generative Adversarial Network (AttentionGAN) for the unpaired image to image translation task.
The asset proposed a 3D-aware Semantic-Guided Generative Model (3D-SGAN) for human image synthesis, which combines a Generative Neural Radiance Field (GNeRF) with a texture generator. Without requiring additional 3D information, our model can learn 3D hum...
The Aristotle University of Thessaloniki (hereinafter, AUTH) created the following dataset, entitled ‘Blaze’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; start date: ...
The Kaspar AI Natural Language Media Indexing Engine (NLMIE) is an application for MacOS machines with M1/M2/M3 chips, which allows for fast and natural video search within Adobe Premiere Pro.
Digital twins are computational models that replicate the structure, behaviour and overall characteristics of a physical asset in the digital world. In the maritime domain, conventional approaches have relied on mathematical modeling (e.g., linearised equ...
Python implementation of the VCRA/F model from the paper "Collision Risk Assessment and Forecasting on Maritime Data"
FlexDR, an AI-based web application for Flexibility Forecasting and Demand Response
Databroker service used for feeding timeseries data to electrical load profiling service.