159 citations · 325 across the 8 of their papers we have counts for
8 papers
Seafloor-Invariant Caustics Removal from Underwater Imagery
Panagiotis Agrafiotis, Konstantinos Karantzalos, Andreas Georgopoulos
Mapping the seafloor with underwater imaging cameras is of significant importance for various applications including marine engineering, geology, geomorphology, archaeology and bio…
Objects Can Move: 3D Change Detection by Geometric Transformation Constistency
Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos +1
AR/VR applications and robots need to know when the scene has changed. An example is when objects are moved, added, or removed from the scene. We propose a 3D object discovery meth…
What to Hide from Your Students: Attention-Guided Masked Image Modeling
Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas +4
Transformers and masked language modeling are quickly being adopted and explored in computer vision as vision transformers and masked image modeling (MIM). In this work, we argue t…
It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan, Bill Psomas, Ewa Kijak +3
Metric learning involves learning a discriminative representation such that embeddings of similar classes are encouraged to be close, while embeddings of dissimilar classes are pus…
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou, Konstantinos Karantzalos
Although deep neural networks hold the state-of-the-art in several remote sensing tasks, their black-box operation hinders the understanding of their decisions, concealing any bias…
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou +2
\begin{abstract} The advent of multitemporal high resolution data, like the Copernicus Sentinel-2, has enhanced significantly the potential of monitoring the earth's surface and en…
Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning
Panagiotis Agrafiotis, Dimitrios Skarlatos, Andreas Georgopoulos +1
The determination of accurate bathymetric information is a key element for near offshore activities, hydrological studies such as coastal engineering applications, sedimentary proc…
Building up user confidence for the spaceborne derived global and continental land cover products for the Mediterranean region: the case of Thessaly
Ioannis Manakos, Christina Karakizi, Giannis Gkinis +1
Across globe and space agencies nations recognize the importance of homogenized land cover information, prone to regular updates, both in the context of thematic and spatial resolu…