A comprehensive collection of research software and code repositories that I have released or contributed to. These projects span computer vision, privacy-preserving technologies, robotics, and AI research, with implementations in C++, Python, and other modern programming languages. All repositories are publicly available on GitHub with peer-reviewed publications and detailed documentation.
Learning Privacy from Visual Entities
Official GitHub repository of the code. Peer-reviewed by selected reviewers at PoPETS 2025. Awarded Available and Functional badges.
Citation
@Article{Xompero2025PoPETs,
title = {Learning Privacy from Visual Entities},
author = {Xompero, A. and Cavallaro, A.},
journal = {Proceedings on Privacy Enhancing Technologies},
volume = {2025},
number = {3},
pages = {1--21},
month = {Mar},
year = {2025},
}
IG-Privacy
Official source code for the paper on explaining models relating objects and privacy.
Citation
@Article{Xompero2024CPVRW_XAI4CV,
title = {Explaining models relating objects and privacy},
author = {Xompero, A. and Bontonou, M. and Arbona, J. and Benetos, E. and Cavallaro, A.},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops},
note = {The 3rd Explainable AI for Computer Vision (XAI4CV) Workshop},
month = {June},
year = {2024},
}
Cross-Camera View-Overlap Recognition
Official source code of the framework, including evaluation scripts and Python implementation of alternative comparison frameworks.
Citation
@Article{Xompero2022IWDSC,
title = {Cross-Camera View-Overlap Recognition},
author = {Xompero, A. and Cavallaro, A.},
booktitle = {Proceedings of the European Conference on Computer Vision Workshops},
note = {International Workshop on Distributed Smart Cameras},
address = {Online},
month = {October},
year = {2022},
}
LoDE: Localisation and Object Dimensions Estimator
Software for the method that jointly localises container-like objects and estimates their dimensions using a generative 3D sampling model and multi-view 3D-2D iterative shape fitting with two wide-baseline calibrated RGB cameras.
Citation
@InProceedings{Xompero2020ICASSP_LoDE,
title = {Multi-view shape estimation of transparent containers},
author = {Alessio Xompero and Ricardo Sanchez-Matilla and Apostolos Modas and Pascal Frossard and Andrea Cavallaro},
booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
address = {Barcelona, Spain},
month = {May},
year = {2020},
}
MORB: A Multi-Scale Binary Descriptor
Official source code for the multi-scale binary descriptor based on ORB that improves the accuracy of feature matching under scale changes.
Citation
@INPROCEEDINGS{Xompero2018ICIP_MORB,
title = {MORB: a multi-scale binary descriptor},
author = {Xompero, Alessio and Lanz, Oswald and Cavallaro, Andrea},
booktitle = {Proceedings of the IEEE International Conference on Image Processing},
address = {Athens, Greece},
month = {October},
year = {2018},
}