1 citations · 1 across the 5 of their papers we have counts for
5 papers
Neural Approximation of Generalized Voronoi Diagrams
Panagiotis Rigas, George Ioannakis, Ioannis Emiris
We introduce VoroFields, a hierarchical neural-field framework for approximating generalized Voronoi diagrams of finite geometric site sets in low-dimensional domains under arbitra…
When Slots Compete: Slot Merging in Object-Centric Learning
Christos Chatzisavvas, Panagiotis Rigas, George Ioannakis +2
Slot-based object-centric learning represents an image as a set of latent slots with a decoder that combines them into an image or features. The decoder specifies how slots are com…
GARLIC: GAussian Representation LearnIng for spaCe partitioning
Panagiotis Rigas, Panagiotis Drivas, Charalambos Tzamos +4
We present \textbf{GARLIC}, a representation learning approach for Euclidean approximate nearest neighbor (ANN) search in high dimensions. Existing partitions tend to rely on isotr…
Semantic Image Segmentation with Deep Learning for Vine Leaf Phenotyping
Petros N. Tamvakis, Chairi Kiourt, Alexandra D. Solomou +2
Plant phenotyping refers to a quantitative description of the plants properties, however in image-based phenotyping analysis, our focus is primarily on the plants anatomical, ontog…
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis +8
The main objective of this work is to utilize state-of-the-art deep learning approaches for the identification of pulmonary embolism in CTPA-Scans for COVID-19 patients, provide an…