On vision enabled aerial manipulation for multirotors. - Christoforos Kanellakis; Matteo Terreran; Dariusz Kominiak; George Nikolakopoulos (ETFA, 2017)

Boat Hunting with Semantic Segmentation for Flexible and Autonomous Manufacturing. - Matteo Terreran; Morris Antonello; Stefano Ghidoni (ECMR, 2019)

3D Mapping of X-Ray Images in Inspections of Aerospace Parts. - Daniele Evangelista; Matteo Terreran; Alberto Pretto; Michele Moro; Carlo Ferrari; Emanuele Menegatti (ETFA, 2020)

Enhancing Deep Semantic Segmentation of RGB-D Data with Entangled Forests. - Matteo Terreran; Elia Bonetto; Stefano Ghidoni (ICPR, 2020)

Real-time Object Detection using Deep Learning for helping People with Visual Impairments. - Matteo Terreran; Andrea G. Tramontano; Jacobus Cornelius Lock; Stefano Ghidoni; Nicola Bellotto (IPAS, 2020)

Multi-view Human Parsing for Human-Robot Collaboration. - Matteo Terreran; Leonardo Barcellona; Daniele Evangelista; Stefano Ghidoni (ICAR, 2021)

Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts. - Matteo Terreran; Daniele Evangelista; Jacopo Lazzaro; Alberto Pretto (ICVS, 2021)

Light deep learning models enriched with Entangled features for RGB-D semantic segmentation. - Matteo Terreran; Stefano Ghidoni (Robotics Auton. Syst., 2021)

Towards an Holistic Human Perception System for Close Human-Robot Collaboration (short paper). - Matteo Terreran; Leonardo Barcellona; Davide Allegro; Stefano Ghidoni (AIRO@AI*IA, 2022)

An Unified Iterative Hand-Eye Calibration Method for Eye-on-Base and Eye-in-Hand Setups. - Daniele Evangelista; Davide Allegro; Matteo Terreran; Alberto Pretto; Stefano Ghidoni (ETFA, 2022)

Clustering-Based Refinement for 3D Human Body Parts Segmentation. - Leonardo Barcellona; Matteo Terreran; Daniele Evangelista; Stefano Ghidoni (IAS, 2022)

Skeleton-Based Action and Gesture Recognition for Human-Robot Collaboration. - Matteo Terreran; Margherita Lazzaretto; Stefano Ghidoni (IAS, 2022)

Performance Evaluation of Depth Completion Neural Networks for Various RGB-D Camera Technologies in Indoor Scenarios. - Rino Castellano; Matteo Terreran; Stefano Ghidoni (AI*IA, 2023)

Dynamic Human-Aware Task Planner for Human-Robot Collaboration in Industrial Scenario. - Alberto Gottardi; Matteo Terreran; Christoph Frommel; Manfred Schönheits; Nicola Castaman; Stefano Ghidoni; Emanuele Menegatti (ECMR, 2023)

METRIC - Multi-Eye to Robot Indoor Calibration Dataset. - Davide Allegro; Matteo Terreran; Stefano Ghidoni (Inf., 2023)

TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images. - Ashkan Shakarami; Lorenzo Nicolè; Matteo Terreran; Angelo Paolo Dei Tos; Stefano Ghidoni (Biomed. Signal Process. Control., 2023)

A general skeleton-based action and gesture recognition framework for human-robot collaboration. - Matteo Terreran; Leonardo Barcellona; Stefano Ghidoni (Robotics Auton. Syst., 2023)

Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation. - Laura Bragagnolo; Matteo Terreran; Davide Allegro; Stefano Ghidoni (ECCV Workshops (12), 2024)

Human-Robot Collaborative Transportation via Distance-based Role Allocation for Precise Positioning of Flexible Materials. - Matteo Terreran; Alberto Gottardi; Emanuele Menegatti; Stefano Ghidoni (ETFA, 2024)

MEMROC: Multi-Eye to Mobile RObot Calibration. - Davide Allegro; Matteo Terreran; Stefano Ghidoni (IROS, 2024)

WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks. - Alberto Bacchin; Leonardo Barcellona; Matteo Terreran; Stefano Ghidoni; Emanuele Menegatti; Takuya Kiyokawa (IROS, 2024)

DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly. - Giulio Giacomuzzo; Matteo Terreran; Siddarth Jain; Diego Romeres (IROS, 2024)

Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models. - Leonardo Barcellona; Alberto Bacchin; Matteo Terreran; Emanuele Menegatti; Stefano Ghidoni (CoRR, 2024)

Multi-Camera Hand-Eye Calibration for Human-Robot Collaboration in Industrial Robotic Workcells. - Davide Allegro; Matteo Terreran; Stefano Ghidoni (IEEE Robotics Autom. Lett., 2024)

Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning. - Niccolò Turcato; Giulio Giacomuzzo; Matteo Terreran; Davide Allegro; Ruggero Carli; Alberto Dalla Libera (CoRR, 2025)