Visual Search of multiple objects from a single query. - Marco Paracchini; Marco Marcon; Emanuele Plebani; Danilo Pietro Pau (ICCE-Berlin, 2016)

Accurate omnidirectional multi-camera embedded structure from motion. - Marco Paracchini; Angelo Schepis; Marco Marcon; Mirko Falchetto; Emanuele Plebani; Danilo Pau (RTSI, 2016)

Embedded Real-Time Visual Search with Visual Distance Estimation. - Marco Paracchini; Emanuele Plebani; Mehdi Ben Iche; Danilo Pietro Pau; Marco Marcon (ICIAP (2), 2017)

Accurate cyber-physical system simulation for distributed visual search applications. - Danilo Martino; Yun Shen; Marco Paracchini; Marco Marcon; Emanuele Plebani; Danilo Pietro Pau (RTSI, 2017)

COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems. - Andreas Brokalakis; Nikolaos Tampouratzis; Antonios Nikitakis; Ioannis Papaefstathiou; Stamatis Andrianakis; Danilo Pau; Emanuele Plebani; Marco Paracchini; Marco Marcon; Ioannis Sourdis; Prajith Ramakrishnan Geethakumari; Maria Carmen Palacios; et al. (DSD, 2018)

An open-source extendable, highly-accurate and security aware simulator for cloud applications. - Andreas Brokalakis; Nikolaos Tampouratzis; Antonios Nikitakis; Ioannis Papaefstathiou; Stamatis Andrianakis; Apostolos Dollas; Marco Paracchini; Marco Marcon; Danilo Pietro Pau; Emanuele Plebani (ICIN, 2018)

Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions. - Nicolò Bonettini; Marco Paracchini; Paolo Bestagini; Marco Marcon; Stefano Tubaro (EUSIPCO, 2019)

Fast and Reliable Facial Landmarks Localization in Non Frontal Images. - Marco Paracchini; Marco Marcon; Stefano Tubaro (EUVIP, 2019)

A framework for interpreting, modeling and recognizing human body gestures through 3D eigenpostures. - Marco Marcon; Marco Brando Mario Paracchini; Stefano Tubaro (Int. J. Mach. Learn. Cybern., 2019)

Breast Lesion Detection from Mammograms Using Deep Convolutional Neural Networks. - Gloria Gonella; Marco Paracchini; Elisabetta Binaghi; Marco Marcon (ESSE, 2020)

Deep skin detection on low resolution grayscale images. - Marco Paracchini; Marco Marcon; Federica A. Villa; Stefano Tubaro (Pattern Recognit. Lett., 2020)

Biometric Signals Estimation Using Single Photon Camera and Deep Learning. - Marco Paracchini; Marco Marcon; Federica A. Villa; Franco Zappa; Stefano Tubaro (Sensors, 2020)

Remote biometric signal processing based on deep learning using SPAD cameras. - Marco Paracchini (2021)

Fast Skin Segmentation on Low-Resolution Grayscale Images for Remote PhotoPlethysmoGraphy. - Marco Paracchini; Marco Marcon; Federica A. Villa; Iris Cusini; Stefano Tubaro (IEEE Multim., 2022)

Deep Learning Coronary Artery Centerlines Mapping from Contrast-Enhanced CT Images of the Heart. - Matteo Leccardi; Marco Brando Mario Paracchini; Luca T. Mainardi; Marco Marcon; Pietro Cerveri (MetroXRAINE, 2023)

Depth Map Super-Resolution Fusing Color Information. - Davide Palesano; Marco Paracchini; Marco Marcon; Stefano Tubaro (MetroXRAINE, 2023)

Towards Resource-Aware Visual Inertial SLAM. - Giovanni Affatato; Marco Paracchini; Francesca Palermo; Diana Trojaniello; Tommaso Ongarello; Marco Marcon; Stefano Tubaro (ECCV Workshops (23), 2024)

Development of a Low-Power Wearable Eye Tracker based on Hidden Photodetectors. - Alberto Pettenella; Daniele Maria Crafa; Jacopo Spagnoli; Carlo Pezzoli; Marco Paracchini; Susanna Di Giacomo; Carlo Fiorini; Sean Byrne; Tommaso Ongarello; Luca Merigo; Marco Carminati (ETRA, 2025)

Low-Power Hierarchical Network: Pervasive Eye-Tracking on Smart Eyewear. - Carlo Pezzoli; Emanuele Santoro; Marco Brando Mario Paracchini; Giulio Marano; Daniele Bani; Luca Francesco Raduzzi; Daniele Maria Crafa; Marco Carminati; Luca Merigo; Tommaso Ongarello; Marco Marcon; Stefano Tubaro (ETRA, 2025)

Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and Applications. - Francesca Palermo; Luca Casciano; Lokmane Demagh; Aurelio Teliti; Niccolò Antonello; Giacomo Gervasoni; Hazem Hesham Yousef Shalby; Marco Brando Mario Paracchini; Simone Mentasti; Hao Quan; Riccardo Santambrogio; Cédric Gilbert; et al. (IEEE Access, 2025)