- Holistic Segmentation. arXiv preprint, 2022 mehr…
- 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…
- CertainNet: Sampling-free Uncertainty Estimation for Object Detection. IEEE Robotics and Automation Letters (RA-L), 2021 mehr…
- Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds. IEEE Robotics and Automation Letters (RA-L), 2021 mehr…
- 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…
- Signal Clustering with Class-independent Segmentation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 mehr…
- 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…
Stefano Gasperini
Stefano Gasperini
PhD Candidate in 3D Scene Understanding for Autonomous Driving
Postadresse
Postal:
Boltzmannstr. 3
85748 Garching b. München
Research Interests
- Autonomous Driving
- 3D Computer Vision
- Panoptic Segmentation
- Domain Generalization
Publications
Curriculum Vitae
- 11/2019 - ongoing: PhD Candidate in 3D Scene Understanding for Autonomous Driving at TUM.
- 11/2019 - 12/2022: PhD Researcher at BMW, Unterschleißheim, Germany.
- 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 student projects (graduation):
- MSc Thesis - Weakly Supervised Semantic Segmentation for RGB-D Data, Focus on Contrastive Learning and Pseudo Labeling - Mert Kiray - co-supervision (ongoing).
- MSc Thesis - Weakly Supervised Semantic Segmentation for RGB-D Data, Focus on Robustness and Oversegmentation - Merve Karali - co-supervision (ongoing).
- MSc Thesis - Self-supervised Segmentation for LiDAR Point Clouds - Philipp Nikutta - co-supervision (ongoing).
- IDP - Improving Robustness of Self-supervised Monocular Depth Estimation Methods - Nils Morbitzer (ongoing).
- MSc Thesis - Multi-modal Panoptic Segmentation for Autonomous Driving - Christopher Heumann - TUM and BMW sides (April, 2022).
- MSc Thesis - Open Set Panoptic Segmentation for Autonomous Driving - Frithjof Winkelmann - TUM and BMW sides (March, 2022).
- MSc Thesis - Uncertainty Estimation for Object Detection in Autonomous Driving - Jan Haug - TUM and BMW sides (September, 2021).
- MSc Thesis - Enhancing Monocular Depth Estimation for Autonomous Driving with Sparse Radar Data - Patrick Koch - TUM and BMW sides (August, 2021).
- MSc Thesis - Evaluation of Semantic Segmentation Methods for LiDAR Point Clouds - Florian Hartmann - BMW side (January, 2021).
Additionally supervised practical semester projects through the lab courses (Teaching Section). Topics include autonomous driving perception and 3D reconstruction.
Professional Services
Reviewed for the following conferences and journals:
- CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition
- IJCV: Springer International Journal of Computer Vision
- 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 (indirectly): Springer International Conference on Medical Image Computing and Computer Assisted Intervention