Leonardo worked at CERN as Invenio core developer and collaborated with Zenodo team.
He graduated in in Computer Engineering at the University of Parma in 2018.
He got his PhD in Information Engineering in 2022 from the same University, working on Object Detection, Instance Segmentation techniques on social networks, funded by Adidas.
He is currently a post-doc at the University of Parma, working on Anomaly Detection and Action Time Localization on video and Super-Resolution and Detection for Multi- and Hyper-spectral images.
His list of publications can be found on her Google Scholar.
https://scholar.google.com/citations?user=wdCxtfcAAAAJ&hl=en
Publications
Leonardo Rossi's publications
| Title | Authors | Published in | Year | Links |
|---|---|---|---|---|
| Machine learning-assisted development of a fast Mechanochemical Johnson–Corey–Chaykovsky reaction | F. Mele, A. Constantin, M. Barezzi, L. Rossi, A. Ergasti, T. Fontanini, S. Civardi, R. Sundermann, P. Mazzeo, R. Maggi, N. Della Ca', A. Prati, and L. Capaldo | NATURE COMMUNICATIONS | 2026 |
[IRIS]
[DOI] |
| Mcgm-styler: free-form styler for mask conditional text-to-image generative model | R. Skaik, L. Rossi, T. Fontanini, and A. Prati | THE VISUAL COMPUTER | 2026 |
[IRIS]
[DOI] |
| CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks | M. Ali, L. Rossi, and M. Bertozzi | LECTURE NOTES IN COMPUTER SCIENCE | 2026 |
[IRIS]
[DOI] |
| Mamba-ST: State Space Model for Efficient Style Transfer | F. Botti, A. Ergasti, L. Rossi, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati | Proceeding of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) | 2025 |
[IRIS]
[DOI] |
| Swin2-MoSE: A new single image supersolution model for remote sensing | L. Rossi, V. Bernuzzi, T. Fontanini, M. Bertozzi, and A. Prati | IET IMAGE PROCESSING | 2025 |
[IRIS]
[DOI] |
| CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks | M. Ali, L. Rossi, and M. Bertozzi | LECTURE NOTES IN COMPUTER SCIENCE | 2025 |
[IRIS]
[DOI] |
| MEMORY-AUGMENTED ONLINE VIDEO ANOMALY DETECTION | L. Rossi, V. Bernuzzi, T. Fontanini, M. Bertozzi, and A. Prati | PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2024 |
[IRIS]
[DOI] |
| Improving Localization for Semi-Supervised Object Detection | L. Rossi, A. Karimi, and A. Prati | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 2022 |
[IRIS]
[DOI] |
| Self-Balanced R-CNN for instance segmentation | L. Rossi, A. Karimi, and A. Prati | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2022 |
[IRIS]
[DOI] |
| LDD: A Grape Diseases Dataset Detection and Instance Segmentation | L. Rossi, M. Valenti, S. Legler, and A. Prati | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 2022 |
[IRIS]
[DOI] |
| Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing | L. Rossi, A. Karimi, and A. Prati | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 2021 |
[IRIS]
[DOI] |
| Improving BERT Performance for Aspect-Based Sentiment Analysis | A. Karimi, L. Rossi, and A. Prati | ICNLSP 2021 - Proceedings of the 4th International Conference on Natural Language and Speech Processing | 2021 | [IRIS] |
| UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model | A. Karimi, L. Rossi, and A. Prati | SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop | 2021 | [IRIS] |
| Adversarial training for aspect-based sentiment analysis with BERT | A. Karimi, L. Rossi, and A. Prati | INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION | 2020 |
[IRIS]
[DOI] |
| A novel region of interest extraction layer for instance segmentation | L. Rossi, A. Karimi, and A. Prati | INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION | 2020 |
[IRIS]
[DOI] |