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Michael Schmidt 0015
Person information
- affiliation: BMW Group, Munich, Germany
Other persons with the same name
- Michael Schmidt — disambiguation page
- Michael Schmidt 0001
— TU Dresden, Germany
- Michael Schmidt 0002 — metaphacts GmbH, Walldorf, Germany (and 2 more)
- Michael Schmidt 0003 — University of Würzburg
- Michael Schmidt 0004
- Michael Schmidt 0005 — Joanneum Research, Austria (and 2 more)
- Michael Schmidt 0006 — Trier University of Applied Sciences, Environmental Campus Birkenfeld
- Michael Schmidt 0007 — Saarland University
- Michael Schmidt 0008 — BBN Technologies, Cambridge
- Michael Schmidt 0009 — University of Siegen, Germany
- Michael Schmidt 0010 — University of Hamburg, Germany
- Michael Schmidt 0011 — University of Paderborn, Germany
- Michael Schmidt 0012
- Michael Schmidt 0013
- Michael Schmidt 0014 (aka: Michael-Christian Schmidt) — Eskitec GmbH i.G., Siegen, Germany (and 1 more)
- Michael Schmidt 0016
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2020 – today
- 2024
- [j1]Alexander Lehner
3D Adversarial Augmentations for Robust Out-of-Domain Predictions. Int. J. Comput. Vis. 132(3): 931-963 (2024) - [c6]Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro:
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning. WACV 2024: 2335-2344 - [c5]Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro:
Active Learning with Task Consistency and Diversity in Multi-Task Networks. WACV 2024: 2491-2500 - 2023
- [c4]Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari:
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge. ICCV 2023: 19264-19275 - [c3]Aral Hekimoglu, Philipp Friedrich, Walter Zimmer
Multi-Task Consistency for Active Learning. ICCV (Workshops) 2023: 3407-3416 - [i6]Aral Hekimoglu, Philipp Friedrich, Walter Zimmer, Michael Schmidt, Alvaro Marcos-Ramiro, Alois C. Knoll:
Multi-Task Consistency for Active Learning. CoRR abs/2306.12398 (2023) - [i5]Aral Hekimoglu, Adrian Brucker, Alper Kagan Kayali, Michael Schmidt, Alvaro Marcos-Ramiro:
Active Learning for Object Detection with Non-Redundant Informative Sampling. CoRR abs/2307.08414 (2023) - [i4]Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro:
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning. CoRR abs/2307.08415 (2023) - [i3]Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari:
3D Adversarial Augmentations for Robust Out-of-Domain Predictions. CoRR abs/2308.15479 (2023) - 2022
- [c2]Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. CVPR 2022: 17274-17283 - [c1]Aral Hekimoglu
Efficient Active Learning Strategies for Monocular 3D Object Detection. IV 2022: 295-302 - [i2]Stefano Gasperini
Holistic Segmentation. CoRR abs/2209.05407 (2022) - 2021
- [i1]Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari:
3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection. CoRR abs/2112.04764 (2021)
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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