Björn Michele

Björn Michele

Ph.D. Student & IRISA OBELIX

I am a Ph.D. student at the and the IRISA OBELIX lab, working on domain adaptation for 3D data. My Ph.D. advisor is Prof. Nicolas Courty who co-advises me with Alexandre Boulch. I also collaborate closely with Gilles Puy, Tuan-Hung Vu, and Renaud Marlet in my research.
I graduated from the Institute Polytechnique Paris with a Master's degree and a thesis on "Zero-shot learning for 3D data". My final year was the M2 Mathematics, Vision, and Apprenticeship (MVA) after completing the Computer Science M1 at the Ecole Polytechnique. I earned my Bachelor's degree from the Baden-Württemberg Cooperative State University in a joint study program with the Robert Bosch GmbH.
Research interests: Computer vision and frugal learning.


(2024). SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. Spotlight @ 3DV, 2024.

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(2023). ALSO: Automotive Lidar Self-supervision by Occupancy estimation. CVPR, 2023.

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(2021). Generative zero-shot learning for semantic segmentation of 3D point clouds. 3DV, 2021.

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Junior Research Scientist
2021 – Present Paris (France)


Ph.D. Computer Science
2022 – Present Paris (France)
Thesis: Domain adaptation for 3D data.
Ecole Polytechnique & ENS Paris-Saclay
M2 Mathematics, Vision, and Apprenticeship (MVA)
2019 – 2020 Cachan (France)
Thesis: Zero shot learning for 3D data.
Ecole Polytechnique
M1 Computer Science
2018 – 2019 Palaiseau (France)
DHBW Stuttgart
BEng Electric Engineering
2015 – 2018 Stuttgart (Germany)
Thesis: Visualisation of neural networks for plant classification for evaluation and developing purposes.