Publications

2024

1. ENGAPP

   Vision-enhanced Peg-in-Hole for automotive body parts using semantic image segmentation and object detection

   Monica Sileo, Nicola Capece, Monica Gruosso , and 4 more authors

   Engineering Applications of Artificial Intelligence, 2024

   Bib

   @article{SILEO2024107486,
     title = {Vision-enhanced Peg-in-Hole for automotive body parts using semantic image segmentation and object detection},
     journal = {Engineering Applications of Artificial Intelligence},
     volume = {128},
     pages = {107486},
     year = {2024},
     issn = {0952-1976},
     doi = {https://doi.org/10.1016/j.engappai.2023.107486},
     url = {https://www.sciencedirect.com/science/article/pii/S0952197623016706},
     author = {Sileo, Monica and Capece, Nicola and Gruosso, Monica and Nigro, Michelangelo and Bloisi, Domenico D. and Pierri, Francesco and Erra, Ugo},
     keywords = {Peg-in-Hole, Robot vision, Deep learning},
   }

2023

1. ACM

   TreeSketchNet: From Sketch to 3D Tree Parameters Generation

   Gilda Manfredi, Nicola Capece, Ugo Erra , and 1 more author

   ACM Trans. Intell. Syst. Technol., Mar 2023

   Bib

   @article{10.1145/3579831,
     author = {Manfredi, Gilda and Capece, Nicola and Erra, Ugo and Gruosso, Monica},
     title = {TreeSketchNet: From Sketch to 3D Tree Parameters Generation},
     year = {2023},
     issue_date = {June 2023},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {14},
     number = {3},
     issn = {2157-6904},
     url = {https://doi.org/10.1145/3579831},
     doi = {10.1145/3579831},
     journal = {ACM Trans. Intell. Syst. Technol.},
     month = mar,
     articleno = {41},
     numpages = {29},
     keywords = {Procedural modeling, 3D trees, 3D generation, datasets, neural networks, deep learning},
   }

2. VR

   Egocentric upper limb segmentation in unconstrained real-life scenarios

   Monica Gruosso, Nicola Capece, and Ugo Erra

   Virtual Reality, Mar 2023

   Bib HTML Code

   @article{gruosso2023egocentric,
     title = {Egocentric upper limb segmentation in unconstrained real-life scenarios},
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo},
     journal = {Virtual Reality},
     volume = {27},
     number = {4},
     pages = {3421--3433},
     year = {2023},
     publisher = {Springer},
     doi = {10.1007/s10055-022-00725-4},
   }

2021

1. WEB3D

   Solid and effective upper limb segmentation in egocentric vision

   Monica Gruosso, Nicola Capece, and Ugo Erra

   In Proceedings of the 26th International Conference on 3D Web Technology , Mar 2021

   Bib HTML Video Code

   @inproceedings{gruosso2021solid,
     title = {Solid and effective upper limb segmentation in egocentric vision},
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo},
     booktitle = {Proceedings of the 26th International Conference on 3D Web Technology},
     pages = {1--9},
     year = {2021},
     doi = {10.1145/3485444.3495179},
   }

2. STAG

   Exploring Upper Limb Segmentation with Deep Learning for Augmented Virtuality

   Monica Gruosso, Nicola Capece, and Ugo Erra

   In Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference , Mar 2021

   Bib HTML

   @inproceedings{10.2312:stag.20211483,
     booktitle = {Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference},
     editor = {Frosini, Patrizio and Giorgi, Daniela and Melzi, Simone and Rodolà, Emanuele},
     title = {{Exploring Upper Limb Segmentation with Deep Learning for Augmented Virtuality}},
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo},
     year = {2021},
     publisher = {The Eurographics Association},
     issn = {2617-4855},
     isbn = {978-3-03868-165-6},
     doi = {10.2312/stag.20211483},
   }

3. AVR

   A preliminary investigation on a multimodal controller and freehand based interaction in virtual reality

   Nicola Capece, Monica Gruosso, Ugo Erra , and 2 more authors

   In Augmented Reality, Virtual Reality, and Computer Graphics: 8th International Conference, AVR 2021, Virtual Event, September 7–10, 2021, Proceedings 8 , Mar 2021

   Bib

   @inproceedings{capece2021preliminary,
     title = {A preliminary investigation on a multimodal controller and freehand based interaction in virtual reality},
     author = {Capece, Nicola and Gruosso, Monica and Erra, Ugo and Catena, Rosario and Manfredi, Gilda},
     booktitle = {Augmented Reality, Virtual Reality, and Computer Graphics: 8th International Conference, AVR 2021, Virtual Event, September 7--10, 2021, Proceedings 8},
     pages = {53--65},
     year = {2021},
     organization = {Springer},
     doi = {10.1007/978-3-030-87595-4_5}
   }

4. SAMI

   A Validation Approach for Deep Reinforcement Learning of a Robotic Arm in a 3D Simulated Environment

   Monica Gruosso, Nicola Capece, Ugo Erra , and 1 more author

   In 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI) , Mar 2021

   Bib HTML Video

   @inproceedings{9378684,
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo and Biancospino, Flavio},
     booktitle = {2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)},
     title = {A Validation Approach for Deep Reinforcement Learning of a Robotic Arm in a 3D Simulated Environment},
     year = {2021},
     volume = {},
     number = {},
     pages = {000043-000048},
     keywords = {Training;Robot kinematics;Reinforcement learning;Vision sensors;Robot sensing systems;Manipulators;Sports;Deep Reinforcement Learning;Deep Q-Network;Validation;Robotic Arm;Simulation Environment},
     doi = {10.1109/SAMI50585.2021.9378684},
   }

5. MTA

   Human segmentation in surveillance video with deep learning

   Monica Gruosso, Nicola Capece, and Ugo Erra

   Multimedia Tools and Applications, Mar 2021

   Bib HTML Code

   @article{gruosso2021human,
     title = {Human segmentation in surveillance video with deep learning},
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo},
     journal = {Multimedia Tools and Applications},
     volume = {80},
     number = {1},
     pages = {1175--1199},
     year = {2021},
     publisher = {Springer},
     doi = {10.1007/s11042-020-09425-0},
   }

2020

1. AIVR

   A Preliminary Investigation into a Deep Learning Implementation for Hand Tracking on Mobile Devices

   Monica Gruosso, Nicola Capece, Ugo Erra , and 1 more author

   In 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) , Mar 2020

   Bib HTML Poster

   @inproceedings{9319109,
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo and Angiolillo, Francesco},
     booktitle = {2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
     title = {A Preliminary Investigation into a Deep Learning Implementation for Hand Tracking on Mobile Devices},
     year = {2020},
     volume = {},
     number = {},
     pages = {380-385},
     keywords = {Two dimensional displays;Cameras;Three-dimensional displays;Neural networks;Heating systems;Computational modeling;Performance evaluation;Deep Learning;Human-Computer Interaction;Image Processing;Hand Tracking},
     doi = {10.1109/AIVR50618.2020.00079},
   }

2. GCH

   Archaeo Puzzle: An Educational Game Using Natural User Interface for Historical Artifacts

   Nicola Capece, Ugo Erra, Monica Gruosso , and 1 more author

   In Eurographics Workshop on Graphics and Cultural Heritage , Mar 2020

   Bib

   @inproceedings{10.2312:gch.20201301,
     booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
     editor = {Spagnuolo, Michela and Melero, Francisco Javier},
     title = {{Archaeo Puzzle: An Educational Game Using Natural User Interface for Historical Artifacts}},
     author = {Capece, Nicola and Erra, Ugo and Gruosso, Monica and Anastasio, Marco},
     year = {2020},
     publisher = {The Eurographics Association},
     issn = {2312-6124},
     isbn = {978-3-03868-110-6},
     doi = {10.2312/gch.20201301},
   }

2019

1. COGINFO

   A Deep Learning approach for the Motion Picture Content Rating

   Monica Gruosso, Nicola Capece, Ugo Erra , and 1 more author

   In 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) , Mar 2019

   Bib HTML

   @inproceedings{9089897,
     author = {Gruosso, Monica and Capece, Nicola and Erra, Ugo and Lopardo, Nunzio},
     booktitle = {2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)},
     title = {A Deep Learning approach for the Motion Picture Content Rating},
     year = {2019},
     volume = {},
     number = {},
     pages = {137-142},
     keywords = {Motion pictures;Videos;Training;Feature extraction;Visualization;Blood;Machine learning},
     doi = {10.1109/CogInfoCom47531.2019.9089897},
   }