Schmidt, Michael

6 publications

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

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

ICCVW 2023 Multi-Task Consistency for Active Learning Aral Hekimoglu, Philipp Friedrich, Walter Zimmer, Michael Schmidt, Alvaro Marcos-Ramiro, Alois Knoll

ICCV 2023 Segmenting Known Objects and Unseen Unknowns Without Prior Knowledge Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari

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

NeurIPS 2019 Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data Dominik Linzner, Michael Schmidt, Heinz Koeppl