Michael Schmidt

According to our database, Michael Schmidt authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3D Adversarial Augmentations for Robust Out-of-Domain Predictions.

Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari

Int. J. Comput. Vis., 2024

Active Learning with Task Consistency and Diversity in Multi-Task Networks.

Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning.

Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Active Learning for Object Detection with Non-Redundant Informative Sampling.

Aral Hekimoglu, Adrian Brucker, Alper Kagan Kayali, Michael Schmidt, Alvaro Marcos-Ramiro

CoRR, 2023

Multi-Task Consistency for Active Learning.

Aral Hekimoglu, Philipp Friedrich, Walter Zimmer, Michael Schmidt, Alvaro Marcos-Ramiro, Alois Knoll

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Segmenting Known Objects and Unseen Unknowns without Prior Knowledge.

Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Holistic Segmentation.

Stefano Gasperini, Frithjof Winkelmann, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari

CoRR, 2022

Efficient Active Learning Strategies for Monocular 3D Object Detection.

Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro, Gerhard Rigoll

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection.

Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari

CoRR, 2021