activity
20172022
most citedEvaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing

159 citations · 325 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022★ 100 cited

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…

cs.CV2019

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…

cs.CV2019★ 57 cited

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…