Stefano Gasperini

PhD Candidate in 3D Scene Understanding for Autonomous Driving at BMW and TUM

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

stefano.gasperini@tum.de

Research Interests

Autonomous Driving
3D Computer Vision
Panoptic Segmentation
Domain Generalization

Publications

Stefano Gasperini; Alvaro Marcos-Ramiro; Micheal Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari: Holistic Segmentation. arXiv preprint, 2022 mehr…
Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Mohammad-Ali Nikouei Mahani; Nassir Navab; Benjamin Busam; Federico Tombari: 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 mehr…
Stefano Gasperini; Jan Haug; Mohammad-Ali Nikouei Mahani; Alvaro Marcos-Ramiro; Nassir Navab; Benjamin Busam; Federico Tombari: CertainNet: Sampling-free Uncertainty Estimation for Object Detection. IEEE Robotics and Automation Letters (RA-L), 2021 mehr…
Stefano Gasperini; Mohammad-Ali Nikouei Mahani; Alvaro Marcos-Ramiro; Nassir Navab; Federico Tombari: Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds. IEEE Robotics and Automation Letters (RA-L), 2021 mehr…
Stefano Gasperini; Patrick Koch; Vinzenz Dallabetta; Nassir Navab; Benjamin Busam; Federico Tombari: R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes. Proceedings of the IEEE International Conference on 3D Vision (3DV), 2021, 2021 mehr…
Stefano Gasperini; Magdalini Paschali; Carsten Hopke; David Wittmann; Nassir Navab: Signal Clustering with Class-independent Segmentation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 mehr…
Magdalini Paschali; Stefano Gasperini; Abhijit Guha Roy; Michael Y.-S. Fang; Nassir Navab;: 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 mehr…

Curriculum Vitae

11/2019 - ongoing: PhD in 3D Scene Understanding for Autonomous Driving at BMW and TUM.
04/2018 - 10/2019: Working Student (1y) and Master Thesis Student (6m) at Airbus, Manching, Germany.
10/2017 - 11/2019: Master in Informatics at TUM.
10/2016 - 09/2017: Software Developer at Prometeia / Modis, Bologna, Italy.
09/2013 - 10/2016: Bachelor in Computer Engineering at the University of Bologna, Italy.
09/2015 - 06/2016: Exchange Student at the University of California Santa Cruz (UCSC), California, USA.

Scholarships and Awards

Deutschlandstipendium holder, merit-based Scholarship program (top 1%), for the second consecutive year, sponsored by the German government and Airbus (10.2018-09.2019).
Deutschlandstipendium holder, merit-based Scholarship program (top 1%), sponsored by the German government and a TUM association (10.2017-09.2018).
Graduated “summa cum Laude” ("110 e Lode") in Computer Engineering, University of Bologna, Italy (07.10.2016).
Provost’s Commendations for Excellence, University of Bologna, Italy (06.2015).

Teaching

Teaching assistant in the following courses:

Winter 2022/2023: Lab Course on 3D Computer Vision
Winter 2022/2023: Seminar on Modern Computer Vision Methods
Summer 2022: Lab Course on Advanced Topics in 3D Computer Vision
Summer 2022: Seminar on Recent Trends in 3D Computer Vision and Deep Learning
Winter 2021/2022: Lab Course on 3D Computer Vision.
Summer 2021: Seminar on Computer Vision and Deep Learning for Autonomous Driving.
Winter 2020/2021: Seminar on Computer Vision and Deep Learning for Autonomous Driving.
Summer 2020: Lab Course on Perception and Learning in Robotics and Augmented Reality.
Winter 2019/2020: Seminar on Computer Vision and Deep Learning for Autonomous Driving.

Student Projects

Supervised the following MSc Thesis projects:

Multi-modal Panoptic Segmentation for Autonomous Driving - Christopher Heumann - TUM and BMW sides (April, 2022).
Open Set Panoptic Segmentation for Autonomous Driving - Frithjof Winkelmann - TUM and BMW sides (March, 2022).
Uncertainty Estimation for Object Detection in Autonomous Driving - Jan Haug - TUM and BMW sides (September, 2021).
Enhancing Monocular Depth Estimation for Autonomous Driving with Sparse Radar Data - Patrick Koch - TUM and BMW sides (August, 2021).
Evaluation of Semantic Segmentation Methods for LiDAR Point Clouds - Florian Hartmann - BMW side (January, 2021).

Professional Services

Reviewed for the following conferences and journals:

IJCV: Springer International Journal of Computer Vision
CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition (indirectly)
ECCV: Springer European Conference on Computer Vision
RA-L: IEEE Robotics and Automation Letters
ICRA: IEEE International Conference on Robotics and Automation
IROS: IEEE International Conference on Intelligent Robots and Systems
MedIA: Elsevir Medical Image Analysis Journal
MICCAI: Springer International Conference on Medical Image Computing and Computer Assisted Intervention (indirectly)