17 citations · 25 across the 9 of their papers we have counts for
9 papers
AmalthAI: An Open-Source Computer Vision Platform for Cultural Heritage
Christos Chatzisavvas, Stelios Alvanos, Efstratios Politis +13
Computer vision (CV) and machine learning (ML) offer new tools for cultural heritage (CH) artifact analysis, but the CV/ML pipeline remains largely inaccessible to CH domain expert…
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…
Interpretable Vision Transformers in Monocular Depth Estimation via SVDA
Vasileios Arampatzakis, George Pavlidis, Nikolaos Mitianoudis +1
Monocular depth estimation is a central problem in computer vision with applications in robotics, AR, and autonomous driving, yet the self-attention mechanisms that drive modern Tr…
Interpretable Vision Transformers in Image Classification via SVDA
Vasileios Arampatzakis, George Pavlidis, Nikolaos Mitianoudis +1
Vision Transformers (ViTs) have achieved state-of-the-art performance in image classification, yet their attention mechanisms often remain opaque and exhibit dense, non-structured…
Towards Explainability in Monocular Depth Estimation
Vasileios Arampatzakis, George Pavlidis, Kyriakos Pantoglou +2
The estimation of depth in two-dimensional images has long been a challenging and extensively studied subject in computer vision. Recently, significant progress has been made with…
Salt-n-pepper noise filtering using Cellular Automata
Dimitrios Tourtounis, Nikolaos Mitianoudis, Georgios Ch. Sirakoulis
Cellular Automata (CA) have been considered one of the most pronounced parallel computational tools in the recent era of nature and bio-inspired computing. Taking advantage of thei…
Underdetermined source separation using a sparse STFT framework and weighted laplacian directional modelling
Thomas Sgouros, Nikolaos Mitianoudis
The instantaneous underdetermined audio source separation problem of K-sensors, L-sources mixing scenario (where K < L) has been addressed by many different approaches, provided th…
A Generalised Directional Laplacian Distribution: Estimation, Mixture Models and Audio Source Separation
Nikolaos Mitianoudis
Directional or Circular statistics are pertaining to the analysis and interpretation of directions or rotations. In this work, a novel probability distribution is proposed to model…
Convolutive Audio Source Separation using Robust ICA and an intelligent evolving permutation ambiguity solution
Dimitrios Mallis, Thomas Sgouros, Nikolaos Mitianoudis
Audio source separation is the task of isolating sound sources that are active simultaneously in a room captured by a set of microphones. Convolutive audio source separation of equ…