Davide Marelli is an Assistant Professor at the Department of Informatics, Systems and Communication (DISCo) of the University of Milano-Bicocca, and a member of the Intelligent Sensing Laboratory. His research interests include intelligent sensing for healthcare, edge AI, Internet of Things, 3D reconstruction from images, material appearance acquisition, and Computer Graphics. He is currently working on the AdvaNced Technologies for Human centrEd Medicine (ANTHEM) project. He is a teaching assistant in Computer Graphics and Internet of Things at the Department of Informatics, Systems and Communication.
Journal Articles
Proceedings
2025 Acquisition and Modeling of Material Appearance Using a Portable, Low Cost, Device Marelli, D., Bianco, S., Ciocca, G. (2025). Acquisition and Modeling of Material Appearance Using a Portable, Low Cost, Device. SENSORS, 25(4) [10.3390/s25041143].2025 Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes Barbato, M., Rigamonti, G., Marelli, D., Napoletano, P. (2025). Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS [10.1109/JBHI.2025.3633194].2023 ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry Marelli, D., Morelli, L., Farella, E., Bianco, S., Ciocca, G., Remondino, F. (2023). ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 198(April 2023), 84-98 [10.1016/j.isprsjprs.2023.03.002].2023 DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision Amarù, S., Marelli, D., Ciocca, G., Schettini, R. (2023). DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision. JOURNAL OF IMAGING, 9(10) [10.3390/jimaging9100232].2022 SfM Flow: A comprehensive toolset for the evaluation of 3D reconstruction pipelines Marelli, D., Bianco, S., Ciocca, G. (2022). SfM Flow: A comprehensive toolset for the evaluation of 3D reconstruction pipelines. SOFTWAREX, 17(January 2022) [10.1016/j.softx.2021.100931].2022 Designing an AI-Based Virtual Try-On Web Application Marelli, D., Bianco, S., Ciocca, G. (2022). Designing an AI-Based Virtual Try-On Web Application. SENSORS, 22(10) [10.3390/s22103832].2021 A Smart Mirror for Emotion Monitoring in Home Environments Bianco, S., Celona, L., Ciocca, G., Marelli, D., Napoletano, P., Yu, S., et al. (2021). A Smart Mirror for Emotion Monitoring in Home Environments. SENSORS, 21(22) [10.3390/s21227453].2020 IVL-SYNTHSFM-v2: A synthetic dataset with exact ground truth for the evaluation of 3D reconstruction pipelines Marelli, D., Bianco, S., Ciocca, G. (2020). IVL-SYNTHSFM-v2: A synthetic dataset with exact ground truth for the evaluation of 3D reconstruction pipelines. DATA IN BRIEF, 29(April 2020) [10.1016/j.dib.2019.105041].2018 Evaluating the performance of structure from motion pipelines Bianco, S., Ciocca, G., Marelli, D. (2018). Evaluating the performance of structure from motion pipelines. JOURNAL OF IMAGING, 4(8), 98 [10.3390/jimaging4080098].
2024 Efficient Deep Learning Methods for Food Localization in Canteen Trays Piccoli, F., Buzzelli, M., Marelli, D., Bianco, S., Ciocca, G., Schettini, R. (2024). Efficient Deep Learning Methods for Food Localization in Canteen Trays. In 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding (pp.208-213). Institute of Electrical and Electronics Engineers Inc. [10.1109/rtsi61910.2024.10761232].2024 Improving Detection of Type-1 Diabetes Adverse Events Using GRU Networks Rigamonti, G., Barbato, M., Marelli, D., Napoletano, P. (2024). Improving Detection of Type-1 Diabetes Adverse Events Using GRU Networks. In 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding (pp.79-84). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI61910.2024.10761795].2023 Evaluation of 3D Reconstruction Pipelines Under Varying Imaging Conditions Marelli, D., Bianco, S., Ciocca, G. (2023). Evaluation of 3D Reconstruction Pipelines Under Varying Imaging Conditions. In Image Analysis and Processing – ICIAP 2023. 22nd International Conference, ICIAP 2023, Udine, Italy, September 11–15, 2023, Proceedings, Part II (pp.87-98). Springer [10.1007/978-3-031-43153-1_8].2021 Faithful Fit, Markerless, 3D Eyeglasses Virtual Try-On Marelli, D., Bianco, S., Ciocca, G. (2021). Faithful Fit, Markerless, 3D Eyeglasses Virtual Try-On. In Pattern Recognition. ICPR International Workshops and Challenges
Virtual Event, January 10–15, 2021, Proceedings, Part II
Conference proceedings (pp.460-471). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-68790-8_36].2019 A Web Application for Glasses Virtual Try-on in 3D Space Marelli, D., Bianco, S., Ciocca, G. (2019). A Web Application for Glasses Virtual Try-on in 3D Space. In 2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019 (pp.299-303). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISCE.2019.8900979].2018 A blender plug-in for comparing structure from motion pipelines Marelli, D., Bianco, S., Celona, L., Ciocca, G. (2018). A blender plug-in for comparing structure from motion pipelines. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-5). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576196].