Simone Angarano

Hi! I’m Simone Angarano, and I am a 3rd-year Ph.D. student in Machine Learning at Politecnico di Torino. I am a member of the AI section of the Interdepartmental Center for Service Robotics PIC4SeR, where my focus is on creating efficient deep learning models for robot perception and control. In my research, particular attention is given to key aspects of real-world applications like generalization and robustness. Moreover, the constraints imposed by the application field in terms of latency and power consumption are considered. In the past years, I had the opportunity to work on different research projects spanning tasks like image classification, human action recognition, super-resolution, instance segmentation, path planning, navigation, and localization. Solving these tasks, I got passionate about domain and sim-to-real generalization, model compression, and knowledge distillation. I also collaborated on various projects with companies, leveraging state-of-the-art deep learning solutions to solve real-world tasks in smart agriculture, space exploration, and domestic assistance.

News

Jul 19, 2023	I got my VISA, so it’s official: I will be visiting VITA research group @ UT Austin from September ‘23 to June ‘24! 🤠 Thanks to Prof. Atlas Wang for this wonderful opportunity 🙏🏼
May 16, 2023	Check out our upcoming workshop on Deep Learning for Sustainable Precision Agriculture, in collaboration with Politecnico di Milano and University of Galway! 🍀
May 12, 2023	Our paper Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation has been published in Engineering Applications of Artificial Intelligence (Elsevier)! 📸
Apr 20, 2023	I will chair a workshop on Deep Learning for Precision Agriculture at the European Conference of Machine Learning ECML PKDD 2023! 🌱
Apr 18, 2023	New submitted preprint! Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation 🌲
Apr 3, 2023	New submitted preprint! Domain Generalization for Crop Segmentation with Knowledge Distillation 🌳
Mar 21, 2023	New submitted preprint! Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network 🛞
Feb 1, 2023	I’m currently looking for Ph.D. visiting opportunities abroad. If you have some advice, please get in touch with me! 🌎
Jan 9, 2023	Our paper Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System has been published in MDPI Sensors! 🕹️
Sep 30, 2022	I presented my poster Efficient Deep Learning models for robot perception, control, and decision-making at the annual PhD PosterDay to professors Barbara Caputo, Alessandro Rizzo and Daniele Pagliari!
Sep 20, 2022	I presented the paper “Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering” with my colleagues Francesco Salvetti and Mauro Martini at ECML PKDD 2022 in Grenoble! 🥳
Sep 10, 2022	New submitted preprint! Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System 🤖
Sep 10, 2022	New submitted preprint! Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation 🥸
Jul 15, 2022	New submitted preprint! Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization 🤯

Publications

Domain Generalization for Crop Segmentation with Knowledge Distillation

Simone Angarano, Mauro Martini, Alessandro Navone, and Marcello Chiaberge

arXiv preprint arXiv:2304.01029 2023

Bib arXiv

@article{angarano2023domain,
  title = {Domain Generalization for Crop Segmentation with Knowledge Distillation},
  author = {Angarano, Simone and Martini, Mauro and Navone, Alessandro and Chiaberge, Marcello},
  year = {2023},
  journal = {arXiv preprint arXiv:2304.01029},
  primaryclass = {cs.CV},
  url = {},
}

Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network

Alessandro Navone, Mauro Martini, Simone Angarano, and Marcello Chiaberge

arXiv preprint arXiv:2303.11725 2023

Bib arXiv

@article{navone2023online,
  title = {Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network},
  author = {Navone, Alessandro and Martini, Mauro and Angarano, Simone and Chiaberge, Marcello},
  year = {2023},
  journal = {arXiv preprint arXiv:2303.11725},
  primaryclass = {cs.RO},
  url = {},
}

Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation

Simone Angarano, Francesco Salvetti, Mauro Martini, and Marcello Chiaberge

Engineering Applications of Artificial Intelligence 2023

Bib arXiv

@article{angarano2023generative,
  journal = {Engineering Applications of Artificial Intelligence},
  volume = {123},
  pages = {106407},
  year = {2023},
  issn = {0952-1976},
  author = {Angarano, Simone and Salvetti, Francesco and Martini, Mauro and Chiaberge, Marcello},
  title = {Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation},
  url = {},
}

Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization

Simone Angarano, Mauro Martini, Francesco Salvetti, Vittorio Mazzia, and 1 more author

arXiv preprint arXiv:2209.01121 2022

Bib arXiv

@article{angarano2022back,
  title = {Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization},
  author = {Angarano, Simone and Martini, Mauro and Salvetti, Francesco and Mazzia, Vittorio and Chiaberge, Marcello},
  journal = {arXiv preprint arXiv:2209.01121},
  year = {2022},
  url = {},
}

Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering

Francesco Salvetti, Simone Angarano, Mauro Martini, Simone Cerrato, and 1 more author

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022

Bib arXiv

@article{salvetti2022waypoint,
  title = {Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering},
  author = {Salvetti, Francesco and Angarano, Simone and Martini, Mauro and Cerrato, Simone and Chiaberge, Marcello},
  journal = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year = {2022},
  url = {},
}

Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System

Luca Marchionna, Giulio Pugliese, Mauro Martini, Simone Angarano, and 2 more authors

Sensors 2023

Bib arXiv

@article{marchionna2022deep,
  title = {Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System},
  author = {Marchionna, Luca and Pugliese, Giulio and Martini, Mauro and Angarano, Simone and Salvetti, Francesco and Chiaberge, Marcello},
  journal = {Sensors},
  volume = {23},
  number = {2},
  pages = {752},
  year = {2023},
  publisher = {MDPI},
}

Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning

Mauro Martini, Simone Cerrato, Francesco Salvetti, Simone Angarano, and 1 more author

International Conference on Automation Science and Engineering 2022

Bib arXiv

@article{martini2022position,
  title = {Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning},
  author = {Martini, Mauro and Cerrato, Simone and Salvetti, Francesco and Angarano, Simone and Chiaberge, Marcello},
  journal = {International Conference on Automation Science and Engineering},
  year = {2022},
  url = {},
}

Action Transformer: a Self-attention Model for Short-time Pose-based Human Action Recognition

Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, and 1 more author

Pattern Recognition 2022

Bib arXiv

@article{mazzia2022action,
  title = {Action Transformer: a Self-attention Model for Short-time Pose-based Human Action Recognition},
  author = {Mazzia, Vittorio and Angarano, Simone and Salvetti, Francesco and Angelini, Federico and Chiaberge, Marcello},
  journal = {Pattern Recognition},
  volume = {124},
  pages = {108487},
  year = {2022},
  publisher = {Elsevier},
  url = {https://www.sciencedirect.com/science/article/pii/S0031320321006634?casa_token=WsYILND9mMAAAAAA:Q40e_Yk_U55UYM85LUdJu79ugc3LlhYI8r-1bA6-_iBYVS19DuhN99ZzzopwlzJ2y7gJcg8Z},
}

Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge

Simone Angarano, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, and 1 more author

Engineering Applications of Artificial Intelligence 2021

Bib arXiv

@article{angarano2021robust,
  title = {Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge},
  author = {Angarano, Simone and Mazzia, Vittorio and Salvetti, Francesco and Fantin, Giovanni and Chiaberge, Marcello},
  journal = {Engineering Applications of Artificial Intelligence},
  volume = {102},
  pages = {104278},
  year = {2021},
  publisher = {Elsevier},
  url = {https://www.sciencedirect.com/science/article/pii/S0952197621001251?casa_token=VOdlgHgE2xIAAAAA:aFXw1ldnFNKYCI0f_LNE8uvl1yg0it0ZT_GFoLAwGk0evj1_Sr4dmzp5q9AmWJBaSpQWzV17},
}