Savvas Karatsiolis

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

Unmanned Aerial Vehicles

Weakly Supervised Learning

Top Venues

PerCom Workshops

Publications

Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning. Remote. Sens. 16 (1) (2024)
Savvas Karatsiolis, Andreas Kamilaris
A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models. VISIGRAPP (4: VISAPP) (2023)
Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Savvas Karatsiolis, Andreas Kamilaris
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models. CoRR (2022)
Chirag Padubidri, Andreas Kamilaris, Savvas Karatsiolis
Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning. PerCom Workshops (2022)
Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images. CoRR (2022)
Andreas Kamilaris, Jesper C. Provoost, Jean-Baptiste Filippi, Chirag Padubidri, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time. PerCom Workshops (2021)
Savvas Karatsiolis, Andreas Kamilaris
Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning. CoRR (2021)
Indrajit Kalita, Savvas Karatsiolis, Andreas Kamilaris
Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning. CAIP (2) (2021)
Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper C. Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time. CoRR (2021)
Savvas Karatsiolis, Andreas Kamilaris
Converting Image Labels to Meaningful and Information-rich Embeddings. ICPRAM (2021)
Savvas Karatsiolis, Andreas Kamilaris, Ian Cole
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning. Remote. Sens. 13 (12) (2021)
Savvas Karatsiolis, Andreas Kamilaris
The pursuit of beauty: Converting image labels to meaningful vectors. CoRR (2020)
Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave, Maximo Larry Lopez Caceres
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning. CoRR (2020)
Savvas Karatsiolis, Christos N. Schizas
Conditional Generative Denoising Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
Modular domain-to-domain translation network. Neural Comput. Appl. 32 (11) (2020)
Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. CAIP Workshops (2019)
Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. CoRR (2019)
Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
Modular Domain-to-Domain Translation Network. ICANN (3) (2018)
Savvas Karatsiolis, Christos N. Schizas
Feature Mapping Through Maximization of the Atomic Interclass Distances. SLDS (2015)
Savvas Karatsiolis, Christos N. Schizas
Implementing a Software Cache for Genetic Programming Algorithms for Reducing Execution Time. IJCCI (ECTA) (2014)
Savvas Karatsiolis, Christos N. Schizas
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset. BIBE (2012)