All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. - Carmelo Scribano; Davide Sapienza; Giorgia Franchini; Micaela Verucchi; Marko Bertogna (CVPR Workshops, 2021)

CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning. - Carmelo Scribano; Giorgia Franchini; Ignacio Sañudo Olmedo; Marko Bertogna (CoRR, 2022)

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 (FedCSIS, 2023)

Denoising Diffusion Models on Model-Based Latent Space. - Carmelo Scribano; Danilo Pezzi; Giorgia Franchini; Marco Prato (Algorithms, 2023)

Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. - Elena Govi; Davide Sapienza; Carmelo Scribano; Tobia Poppi; Giorgia Franchini; Paola Ardón; Micaela Verucchi; Marko Bertogna (CoRR, 2023)

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. - Carmelo Scribano; Giorgia Franchini; Marco Prato; Marko Bertogna (J. Sci. Comput., 2023)

Emergency Vehicles in the Smart Cities: Challenges and Enabling Technologies. - Carmelo Scribano; Filippo Muzzini (ISCC, 2024)

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 (CoRR, 2025)