3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection. - Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt 015; Mohammad-Ali Nikouei Mahani; Nassir Navab; Benjamin Busam; Federico Tombari (CoRR, 2021)

3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. - Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt 015; Mohammad-Ali Nikouei Mahani; Nassir Navab; Benjamin Busam; Federico Tombari (CVPR, 2022)

Efficient Active Learning Strategies for Monocular 3D Object Detection. - Aral Hekimoglu; Michael Schmidt 015; Alvaro Marcos-Ramiro; Gerhard Rigoll (IV, 2022)

Holistic Segmentation. - Stefano Gasperini; Frithjof Winkelmann; Alvaro Marcos-Ramiro; Michael Schmidt 015; Nassir Navab; Benjamin Busam; Federico Tombari (CoRR, 2022)

Segmenting Known Objects and Unseen Unknowns without Prior Knowledge. - Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt 015; Nassir Navab; Benjamin Busam; Federico Tombari (ICCV, 2023)

Multi-Task Consistency for Active Learning. - Aral Hekimoglu; Philipp Friedrich; Walter Zimmer; Michael Schmidt 015; Alvaro Marcos-Ramiro; Alois Knoll (ICCV (Workshops), 2023)

Active Learning for Object Detection with Non-Redundant Informative Sampling. - Aral Hekimoglu; Adrian Brucker; Alper Kagan Kayali; Michael Schmidt 015; Alvaro Marcos-Ramiro (CoRR, 2023)

Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning. - Aral Hekimoglu; Michael Schmidt 015; Alvaro Marcos-Ramiro (WACV, 2024)

Active Learning with Task Consistency and Diversity in Multi-Task Networks. - Aral Hekimoglu; Michael Schmidt 015; Alvaro Marcos-Ramiro (WACV, 2024)

3D Adversarial Augmentations for Robust Out-of-Domain Predictions. - Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt 015; Nassir Navab; Benjamin Busam; Federico Tombari (Int. J. Comput. Vis., 2024)