| 2026 | ICPR | Accelerating Vision Foundation Models with Drop-in Depthwise Convolution. | Carmelo Scribano, Mohammad Mahdi, Nedyalko Prisadnikov, Yuqian Fu, Giorgia Franchini, Danda Pani Paudel, Marko Bertogna, Luc Van Gool |
| 2025 | ICIAP | Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation. | Carmelo Scribano, Elena Govi, Paolo Bertellini, Simone Parisi, Giorgia Franchini, Marko Bertogna |
| 2023 | FedCSIS | Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. | Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna |
| 2023 | RTCSA | Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems. | Alessio Masola, Nicola Capodieci, Benjamin Rouxel, Giorgia Franchini, Roberto Cavicchioli |
| 2021 | CVPR | All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. | Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna |
| 2021 | ICCSA | Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. | Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta |
| 2018 | ISDA | Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. | Giorgia Franchini, Paolo Burgio, Luca Zanni |