@article{SIGILLO2025130195,title={Generalizing medical image representations via quaternion wavelet networks},journal={Neurocomputing},volume={638},pages={130195},year={2025},issn={0925-2312},doi={https://doi.org/10.1016/j.neucom.2025.130195},url={https://www.sciencedirect.com/science/article/pii/S0925231225008677},author={Sigillo, Luigi and Grassucci, Eleonora and Uncini, Aurelio and Comminiello, Danilo},keywords={Generalizable neural networks, Quaternion wavelet transform, Task-agnostic deep learning, Quaternion neural networks, Medical imaging},bibtex_show=true,altmetric=true,dimensions=true,}
2024
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
Luigi Sigillo, Riccardo Fosco Gramaccioni , Alessandro Nicolosi , and Danilo Comminiello
In 2024 International Joint Conference on Neural Networks (IJCNN) , 2024
@inproceedings{10650042,author={Sigillo, Luigi and Gramaccioni, Riccardo Fosco and Nicolosi, Alessandro and Comminiello, Danilo},booktitle={2024 International Joint Conference on Neural Networks (IJCNN)},title={Ship in Sight: Diffusion Models for Ship-Image Super Resolution},year={2024},volume={},number={},pages={1-8},keywords={Training;Analytical models;Image synthesis;Surveillance;Superresolution;Text to image;Diffusion models;Generative Deep Learning;Image Super resolution;Diffusion Models;Ship Classification},doi={10.1109/IJCNN60899.2024.10650042},bibtex_show=true,altmetric=true,dimensions=true,}
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
Eleonora Lopez , Luigi Sigillo, Federica Colonnese , Massimo Panella , and Danilo Comminiello
@misc{lopez2024guessithinkstreamlined,title={Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models},author={Lopez, Eleonora and Sigillo, Luigi and Colonnese, Federica and Panella, Massimo and Comminiello, Danilo},year={2024},eprint={2410.02780},archiveprefix={arXiv},primaryclass={cs.CV},url={https://arxiv.org/abs/2410.02780},bibtex_show=true,altmetric=true,dimensions=true,}
A Wavelet Diffusion GAN for Image Super-Resolution
Lorenzo Aloisi , Luigi Sigillo, Aurelio Uncini , and Danilo Comminiello
@misc{aloisi2024waveletdiffusionganimage,title={A Wavelet Diffusion GAN for Image Super-Resolution},author={Aloisi, Lorenzo and Sigillo, Luigi and Uncini, Aurelio and Comminiello, Danilo},year={2024},eprint={2410.17966},archiveprefix={arXiv},primaryclass={eess.IV},url={https://arxiv.org/abs/2410.17966},bibtex_show=true,altmetric=true,dimensions=true,}
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti , Eleonora Grassucci , Luigi Sigillo, and Danilo Comminiello
In The Thirteenth International Conference on Learning Representations , 2024
@inproceedings{anonymous2024gramian,title={Gramian Multimodal Representation Learning and Alignment},author={Cicchetti, Giordano and Grassucci, Eleonora and Sigillo, Luigi and Comminiello, Danilo},booktitle={The Thirteenth International Conference on Learning Representations},year={2024},url={https://openreview.net/forum?id=ftGnpZrW7P},bibtex_show=true,altmetric=true}
2023
StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
Luigi Sigillo, Eleonora Grassucci , and Danilo Comminiello
In 2023 IEEE International Symposium on Circuits and Systems (ISCAS) , 2023
@inproceedings{10181838,author={Sigillo, Luigi and Grassucci, Eleonora and Comminiello, Danilo},booktitle={2023 IEEE International Symposium on Circuits and Systems (ISCAS)},title={StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation},year={2023},volume={},number={},pages={1-5},keywords={Circuits and systems;Source coding;Image edge detection;Object detection;Color;Generative adversarial networks;Generators;Image Modality Translation;Generative Adversarial Networks;Drone Images;Infrared Images},doi={10.1109/ISCAS46773.2023.10181838},bibtex_show=true,altmetric=true,code=https://github.com/luigisigillo/stawgan,dimensions=true,}
Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting
Luigi Sigillo, Alessandro Marzilli , Daniela Moretti , Eleonora Grassucci , Claudio Greco , and 1 more author
In 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) , 2023
@inproceedings{seaformer,author={Sigillo, Luigi and Marzilli, Alessandro and Moretti, Daniela and Grassucci, Eleonora and Greco, Claudio and Comminiello, Danilo},booktitle={2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)},title={Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting},year={2023},volume={},number={},pages={1-6},keywords={Solid modeling;Deep architecture;Machine learning;Predictive models;Signal processing;Transformers;Solids;AIS;Transformers;Vessel Route Fore-casting},doi={10.1109/MLSP55844.2023.10285968},bibtex_show=true,altmetric=true,dimensions=true,}
GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging
Eleonora Grassucci , Luigi Sigillo, Aurelio Uncini , and Danilo Comminiello
@article{10268972,author={Grassucci, Eleonora and Sigillo, Luigi and Uncini, Aurelio and Comminiello, Danilo},journal={IEEE Signal Processing Letters},title={GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging},year={2023},volume={30},number={},pages={1397-1401},keywords={Biomedical imaging;Quaternions;Wavelet transforms;Feature extraction;Task analysis;Discrete wavelet transforms;Mutual information;Generalizable deep learning;medical image analysis;mutual information;quaternion wavelet transform},doi={10.1109/LSP.2023.3321554},bibtex_show=true,altmetric=true,dimensions=true,}
2022
Hypercomplex Image- to- Image Translation
Eleonora Grassucci , Luigi Sigillo, Aurelio Uncini , and Danilo Comminiello
In International Joint Conference on Neural Networks (IJCNN) , 2022
@inproceedings{9892119,author={Grassucci, Eleonora and Sigillo, Luigi and Uncini, Aurelio and Comminiello, Danilo},booktitle={International Joint Conference on Neural Networks {(IJCNN)}},title={Hypercomplex Image- to- Image Translation},year={2022},volume={},number={},pages={1-8},doi={10.1109/IJCNN55064.2022.9892119},bibtex_show=true,altmetric=true,dimensions=true,code=https://github.com/ispamm/hi2i,}