StefanoGasperini

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Stefano Gasperini

Contact Information

Stefano
Stefano Gasperini, M.Sc.

PhD Candidate at BMW

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching bei München

Email TUM: stefano.gasperini [at] tum.de
Email BMW: stefano.gasperini [at] bmw.de

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Research Interests

  • Autonomous Driving
  • 3D Computer Vision
  • Scene Graph Generation
  • Uncertainty Estimation
  • Sensor Fusion
  • Point Cloud Segmentation
  • Panoptic Segmentation

List of Publications

2020
S. Gasperini, M.-A. N. Mahani, A. Marcos-Ramiro, N. Navab, F. Tombari
Panoster: End-to-end Panoptic Segmentation of LiDAR? Point Clouds
Under review for IEEE Robotics and Automation Letters (RA-L) and the International Conference on Robotics and Automation (ICRA) 2021.
Preprint available on arxiv.
(bib)
S. Gasperini, M. Paschali, C. Hopke, D. Wittmann, N. Navab
Signal Clustering with Class-independent Segmentation
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020.
The original publication is available currently online on arXiv.
(bib)
2019
M. Paschali, S. Gasperini, A. Guha Roy, M.Y.-S. Fang, N. Navab
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation
The first two authors contributed equally.
22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen 2019.
The original publication is available currently online on arXiv and will become available at link.springer.com
(bib)

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Firstname: Stefano
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Lastname: Gasperini
Picture: /twiki/pub/Main/StefanoGasperini/IMG_0033.JPG
Birthday: 10.01.1994
Nationality: Italy
Languages: English
Groups: Computer Vision
Expertise: Computer Vision
Position: External Phd
Status: Active
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Telephone: +49 (0)163 163-4113
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Thesistitle: Robust 3D scene graph generation for Autonomous Driving
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