Matteo Terreran

According to our database, Matteo Terreran authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A general skeleton-based action and gesture recognition framework for human-robot collaboration.

Matteo Terreran, Leonardo Barcellona, Stefano Ghidoni

Robotics Auton. Syst., December, 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., July, 2023

METRIC - Multi-Eye to Robot Indoor Calibration Dataset.

Davide Allegro, Matteo Terreran, Stefano Ghidoni

Inf., 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

Proceedings of the European Conference on Mobile Robots, 2023

Performance Evaluation of Depth Completion Neural Networks for Various RGB-D Camera Technologies in Indoor Scenarios.

Rino Castellano, Matteo Terreran, Stefano Ghidoni

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

Skeleton-Based Action and Gesture Recognition for Human-Robot Collaboration.

Matteo Terreran, Margherita Lazzaretto, Stefano Ghidoni

Proceedings of the Intelligent Autonomous Systems 17, 2022

Clustering-Based Refinement for 3D Human Body Parts Segmentation.

Leonardo Barcellona, Matteo Terreran, Daniele Evangelista, Stefano Ghidoni

Proceedings of the Intelligent Autonomous Systems 17, 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

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Towards an Holistic Human Perception System for Close Human-Robot Collaboration (short paper).

Matteo Terreran, Leonardo Barcellona, Davide Allegro, Stefano Ghidoni

Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022

2021

Light deep learning models enriched with Entangled features for RGB-D semantic segmentation.

Matteo Terreran, Stefano Ghidoni

Robotics Auton. Syst., 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

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

Multi-view Human Parsing for Human-Robot Collaboration.

Matteo Terreran, Leonardo Barcellona, Daniele Evangelista, Stefano Ghidoni

Proceedings of the 20th International Conference on Advanced Robotics, 2021

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

Proceedings of the 4th IEEE International Conference on Image Processing, 2020

Enhancing Deep Semantic Segmentation of RGB-D Data with Entangled Forests.

Matteo Terreran, Elia Bonetto, Stefano Ghidoni

Proceedings of the 25th International Conference on Pattern Recognition, 2020

3D Mapping of X-Ray Images in Inspections of Aerospace Parts.

Daniele Evangelista, Matteo Terreran, Alberto Pretto, Michele Moro, Carlo Ferrari, Emanuele Menegatti

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019

Boat Hunting with Semantic Segmentation for Flexible and Autonomous Manufacturing.

Matteo Terreran, Morris Antonello, Stefano Ghidoni

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2017

On vision enabled aerial manipulation for multirotors.

Christoforos Kanellakis, Matteo Terreran, Dariusz Kominiak, George Nikolakopoulos

Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017