Michael Schmidt

14 papers A* 2A 2C 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NaviHydra: Controllable Navigation-guided End-to-end Autonomous Driving with Hydra-distillation. CoRR Hanfeng Wu, Marlon Steiner, Michael Schmidt, Alvaro Marcos-Ramiro, Christoph Stiller
2024	J	`jnl`	3D Adversarial Augmentations for Robust Out-of-Domain Predictions. Int. J. Comput. Vis. Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari
2024	A	`conf`	Active Learning with Task Consistency and Diversity in Multi-Task Networks. WACV Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro
2024	A	`conf`	Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning. WACV Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro
2023	J	`jnl`	3D Adversarial Augmentations for Robust Out-of-Domain Predictions. CoRR Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari
2023	J	`jnl`	Active Learning for Object Detection with Non-Redundant Informative Sampling. CoRR Aral Hekimoglu, Adrian Brucker, Alper Kagan Kayali, Michael Schmidt, Alvaro Marcos-Ramiro
2023	J	`jnl`	Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning. CoRR Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro
2023	—	`conf`	Multi-Task Consistency for Active Learning. ICCV (Workshops) Aral Hekimoglu, Philipp Friedrich, Walter Zimmer, Michael Schmidt, Alvaro Marcos-Ramiro, Alois Knoll
2023	J	`jnl`	Multi-Task Consistency for Active Learning. CoRR Aral Hekimoglu, Philipp Friedrich, Walter Zimmer, Michael Schmidt, Alvaro Marcos-Ramiro, Alois C. Knoll
2023	A*	`conf`	Segmenting Known Objects and Unseen Unknowns without Prior Knowledge. ICCV Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari
2022	A*	`conf`	3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. CVPR Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari
2022	C	`conf`	Efficient Active Learning Strategies for Monocular 3D Object Detection. IV Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro, Gerhard Rigoll
2022	J	`jnl`	Holistic Segmentation. CoRR Stefano Gasperini, Frithjof Winkelmann, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari
2021	J	`jnl`	3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection. CoRR Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari