Stefano Rosa

Stefano Rosa

Researcher

Leaving date: 31st December 2019

Themes:

• Systems

Interests

Mobile Robotics, Computer Vision, HMI

Biography

I am currently a research fellow at University of Oxford (UK), under supervision of Prof. Niki Trigoni, working on the ESPRC Programme Grant “Mobile Robotics: Enabling a Pervasive Technology of the Future”.

I was a research fellow at Politecnico di Torino (Italy), working in collaboration with Telecom Italia S.P.A.

I achieved my MS degree in Computer Engineering from Politecnico di Torino in 2008. From 2009 to 2011 I was a research assitant in Politecnico di Torino, and from 2011 to 2014 I was a PhD student in Robotics at Istituto Italiano di Tecnologia (IIT) and Politecnico di Torino, working on both space robotics and service robotics.

My research interests include localization and mapping for mobile robotics, computer vision applied to robot navigation, and human-robot interaction. I also have an interest on vision-based assistive technologies.

Selected Publications

View AllManage publications

• Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling

  N.i Trigoni Q. Hu B. Yang L. Xie S. Rosa Y. Guo Z. Wang and A. Markham

  In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021.

  Details about Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling | BibTeX data for Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling

• DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination

  M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni

  In IEEE Robotics and Automation Letters (RAL) + IEEE ICRA. 2020.

  Details about DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | BibTeX data for DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | Download  (pdf) of DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination

• RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds

  Qingyong Hu‚ Bo Yang‚ Linhai Xie‚ Stefano Rosa‚ Yulan Guo‚ Zhihua Wang‚ Niki Trigoni and Andrew Markham

  In IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR Oral). 2020.

  Details about RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | BibTeX data for RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | Download  (pdf) of RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | Link to RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds

Activities

• Intuitive Physics
• Machine Learning Systems
• Mobile and People-centric Systems and Sensing
• Positioning in GPS-denied Environments

Supervisor