Simone Angarano

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Hi! Iā€™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. I spent the last year at the University of Texas at Austin, working on efficient foundation vision models. In the previous 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

Oct 03, 2024 Our paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition just reached 200 citations! šŸŽ°
Oct 01, 2024 Iā€™ve been awarded the EECE PhD Quality Award from Politecnico di Torino! šŸŽ‰
Jul 09, 2024 Our paper Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization has been published in the Pattern Recognition Journal! ā˜ ļø
Jun 19, 2024 I presented our paper Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation has been accepted at CVPR 2024 workshop on Vision for Agriculture! šŸŒµ
Jul 19, 2023 I got my VISA, so itā€™s official: I will be visiting VITA research group @ UT Austin from September ā€˜23 to June ā€˜24! šŸ¤  Thanks to Prof. Atlas Wang for this wonderful opportunity šŸ™šŸ¼
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! šŸ€
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)! šŸ“ø
Apr 20, 2023 I will chair a workshop on Deep Learning for Precision Agriculture at the European Conference of Machine Learning ECML PKDD 2023! šŸŒ±
Apr 18, 2023 New submitted preprint! Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation šŸŒ²
Apr 03, 2023 New submitted preprint! Domain Generalization for Crop Segmentation with Knowledge Distillation šŸŒ³
Mar 21, 2023 New submitted preprint! Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network šŸ›ž
Feb 01, 2023 Iā€™m currently looking for Ph.D. visiting opportunities abroad. If you have some advice, please get in touch with me! šŸŒŽ
Jan 09, 2023 Our paper Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System has been published in MDPI Sensors! šŸ•¹ļø
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! :sparkles:
Sep 20, 2022 I presented the paper ā€œWaypoint Generation in Row-based Crops with Deep Learning and Contrastive Clusteringā€ with my colleagues Francesco Salvetti and Mauro Martini at ECML PKDD 2022 in Grenoble! šŸ„³
Sep 10, 2022 New submitted preprint! Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System šŸ¤–
Sep 10, 2022 New submitted preprint! Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation šŸ„ø
Jul 15, 2022 New submitted preprint! Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization šŸ¤Æ

Selected Publications

  1. PRJ
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    Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
    Simone Angarano,Ā Mauro Martini,Ā Francesco Salvetti,Ā Vittorio Mazzia, and 1 more author
    Pattern Recognition, 2024
  2. CVPR
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    Domain Generalization for Crop Segmentation with Knowledge Distillation
    Simone Angarano,Ā Mauro Martini,Ā Alessandro Navone,Ā andĀ Marcello Chiaberge
    CVPR, 2024
  3. CASE
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  4. EAAI
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    Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
    Simone Angarano,Ā Francesco Salvetti,Ā Mauro Martini,Ā andĀ Marcello Chiaberge
    Engineering Applications of Artificial Intelligence, 2023
  5. ECML
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    Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
    Francesco Salvetti,Ā Simone Angarano,Ā Mauro Martini,Ā Simone Cerrato, and 1 more author
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
  6. Sensors
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    Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System
    Luca Marchionna,Ā Giulio Pugliese,Ā Mauro Martini,Ā Simone Angarano, and 2 more authors
    Sensors, 2023
  7. CASE
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    Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
    Mauro Martini,Ā Simone Cerrato,Ā Francesco Salvetti,Ā Simone Angarano, and 1 more author
    International Conference on Automation Science and Engineering, 2022
  8. PRJ
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    Action Transformer: a Self-attention Model for Short-time Pose-based Human Action Recognition
    Vittorio Mazzia,Ā Simone Angarano,Ā Francesco Salvetti,Ā Federico Angelini, and 1 more author
    Pattern Recognition, 2022
  9. EAAI
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    Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge
    Simone Angarano,Ā Vittorio Mazzia,Ā Francesco Salvetti,Ā Giovanni Fantin, and 1 more author
    Engineering Applications of Artificial Intelligence, 2021
  10. IEEE
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    A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-based Crops
    Simone Cerrato,Ā Vittorio Mazzia,Ā Francesco Salvetti,Ā Mauro Martini, and 3 more authors
    IEEE Access, 2024
  11. ECMR
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