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Matteo Terreran
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2020 – today
- 2024
- [j5]Davide Allegro, Matteo Terreran, Stefano Ghidoni:
Multi-Camera Hand-Eye Calibration for Human-Robot Collaboration in Industrial Robotic Workcells. IEEE Robotics Autom. Lett. 9(11): 9852-9859 (2024) - [c14]Matteo Terreran, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni:
Human-Robot Collaborative Transportation via Distance-based Role Allocation for Precise Positioning of Flexible Materials. ETFA 2024: 1-8 - [i6]Leonardo Barcellona, Alberto Bacchin, Matteo Terreran, Emanuele Menegatti, Stefano Ghidoni:
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models. CoRR abs/2404.12717 (2024) - [i5]Davide Allegro, Matteo Terreran, Stefano Ghidoni:
Multi-Camera Hand-Eye Calibration for Human-Robot Collaboration in Industrial Robotic Workcells. CoRR abs/2406.11392 (2024) - [i4]Laura Bragagnolo, Matteo Terreran, Davide Allegro, Stefano Ghidoni:
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation. CoRR abs/2408.15810 (2024) - [i3]Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain, Diego Romeres:
DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly. CoRR abs/2408.16125 (2024) - [i2]Alberto Bacchin, Leonardo Barcellona, Matteo Terreran, Stefano Ghidoni, Emanuele Menegatti, Takuya Kiyokawa:
WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks. CoRR abs/2409.16999 (2024) - [i1]Davide Allegro, Matteo Terreran, Stefano Ghidoni:
MEMROC: Multi-Eye to Mobile RObot Calibration. CoRR abs/2410.08805 (2024) - 2023
- [j4]Ashkan Shakarami, Lorenzo Nicolè, Matteo Terreran, Angelo Paolo Dei Tos, Stefano Ghidoni:
TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images. Biomed. Signal Process. Control. 84: 104812 (2023) - [j3]Davide Allegro, Matteo Terreran, Stefano Ghidoni:
METRIC - Multi-Eye to Robot Indoor Calibration Dataset. Inf. 14(6): 314 (2023) - [j2]Matteo Terreran, Leonardo Barcellona, Stefano Ghidoni:
A general skeleton-based action and gesture recognition framework for human-robot collaboration. Robotics Auton. Syst. 170: 104523 (2023) - [c13]Rino Castellano, Matteo Terreran, Stefano Ghidoni:
Performance Evaluation of Depth Completion Neural Networks for Various RGB-D Camera Technologies in Indoor Scenarios. AI*IA 2023: 351-364 - [c12]Alberto Gottardi, Matteo Terreran, Christoph Frommel, Manfred Schönheits, Nicola Castaman, Stefano Ghidoni, Emanuele Menegatti:
Dynamic Human-Aware Task Planner for Human-Robot Collaboration in Industrial Scenario. ECMR 2023: 1-8 - 2022
- [c11]Matteo Terreran, Leonardo Barcellona, Davide Allegro, Stefano Ghidoni:
Towards an Holistic Human Perception System for Close Human-Robot Collaboration (short paper). AIRO@AI*IA 2022: 1-7 - [c10]Daniele Evangelista, Davide Allegro, Matteo Terreran, Alberto Pretto, Stefano Ghidoni:
An Unified Iterative Hand-Eye Calibration Method for Eye-on-Base and Eye-in-Hand Setups. ETFA 2022: 1-7 - [c9]Matteo Terreran, Margherita Lazzaretto, Stefano Ghidoni:
Skeleton-Based Action and Gesture Recognition for Human-Robot Collaboration. IAS 2022: 29-45 - [c8]Leonardo Barcellona, Matteo Terreran, Daniele Evangelista, Stefano Ghidoni:
Clustering-Based Refinement for 3D Human Body Parts Segmentation. IAS 2022: 425-440 - 2021
- [j1]Matteo Terreran, Stefano Ghidoni:
Light deep learning models enriched with Entangled features for RGB-D semantic segmentation. Robotics Auton. Syst. 146: 103862 (2021) - [c7]Matteo Terreran, Leonardo Barcellona, Daniele Evangelista, Stefano Ghidoni:
Multi-view Human Parsing for Human-Robot Collaboration. ICAR 2021: 905-912 - [c6]Matteo Terreran, Daniele Evangelista, Jacopo Lazzaro, Alberto Pretto:
Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts. ICVS 2021: 144-156 - 2020
- [c5]Daniele Evangelista, Matteo Terreran, Alberto Pretto, Michele Moro, Carlo Ferrari, Emanuele Menegatti:
3D Mapping of X-Ray Images in Inspections of Aerospace Parts. ETFA 2020: 1223-1226 - [c4]Matteo Terreran, Elia Bonetto, Stefano Ghidoni:
Enhancing Deep Semantic Segmentation of RGB-D Data with Entangled Forests. ICPR 2020: 4634-4641 - [c3]Matteo Terreran, Andrea G. Tramontano, Jacobus Cornelius Lock, Stefano Ghidoni, Nicola Bellotto:
Real-time Object Detection using Deep Learning for helping People with Visual Impairments. IPAS 2020: 89-95
2010 – 2019
- 2019
- [c2]Matteo Terreran, Morris Antonello, Stefano Ghidoni:
Boat Hunting with Semantic Segmentation for Flexible and Autonomous Manufacturing. ECMR 2019: 1-8 - 2017
- [c1]Christoforos Kanellakis, Matteo Terreran, Dariusz Kominiak, George Nikolakopoulos:
On vision enabled aerial manipulation for multirotors. ETFA 2017: 1-7
Coauthor Index
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last updated on 2024-12-10 21:44 CET by the dblp team
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