Dr. Bruno Mirbach
|Phone:||+49 631 20575 3511|
Bruno Mirbach studied Physics, Mathematics and Computer Science and the University of Kaiserslautern/Germany, where he also received his Dr. rer. nat. degree in theoretical physics in 1996. He was Postdoctoral Researcher with the Center for Nonlinear and Complex Systems, Como/Italy, with the Max-Planck-Institute of the Physics of Complex Systems, Dresden/Germany, and with the University of Ulm/Germany with research focus on non-linear dynamics and quantum chaos.
in 1999 he joined automotive industry working on the applied research and development of intelligent optical sensor systems for environment perception and occupant monitoring.
At two automotive suppliers he has been leading teams dedicated to the research and development of computer vision and machine learning algorithms.
with numerous publications and patents in 3D vision, 2D/3D sensor fusion, and machine learning.
Since 2019 he is in part time senior researcher at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, Germany.
In the Augmented Vision department, he is mainly contributing to European research projects (Horizon Europe Program) as well as industry projects.
Unsupervised Image-to-Image Translation: A Review
Sensors - Open Access Journal (Sensors) 2022, 22, 8540 MDPI 2022 .
Unsupervised Anomaly Detection from Time-of-Flight Depth Images
CVPR Workshop on Perception Beyond the Visible Spectrum. CVPR Workshop on Perception Beyond the Visible Spectrum (PBVS-2022) befindet sich International Conference on Computer Vision and Pattern Recognition June 19-20 United States IEEE Computer Society 2022 .
TIMo—A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Sensors - Open Access Journal (Sensors) 22 11 Seiten 3992-4005 MPDI Basel 5/2022 .
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
British Machine Vision Conference (Hrsg.). Proceedings of the. British Machine Vision Conference (BMVC-2021) Online BMVA 2021 .
SEMANTIC SEGMENTATION IN DEPTH DATA : A COMPARATIVE EVALUATION OFIMAGE AND POINT CLOUD BASED METHODS
Proceedings of ICIP. IEEE International Conference on Image Processing (ICIP-2021) 28th IEEE International Conference on Image Processing (IEEE - ICIP) September 19-22 Anchorage, Alaska Alaska United States IEEE 2021 .
An Adversarial Training based Framework for Depth Domain Adaptation
Proceedings of the 16th VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2021) 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications February 8-10 online Springer 2021 .
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions
Commercial Vehicle Technology 2020 - Proceedings of the 6th Commercial Vehicle Technology Symposium - CVT 2020. Commercial Vehicle Technology Symposium (CVT) 6th International Commercial Vehicle Technology Symposium Kaiserslautern Kaiserlautern Germany Springer 2020 .
Fusion of Keypoint Tracking and Facial Landmark Detection for Real-Time Head Pose Estimation
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-15, Lake Tahoe, NV/CA, USA
Combined Framework for Real-Time Head Pose Estimation using Facial Landmark Detection and Salient Feature Tracking
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2018), January 27-29, Funchal, Madeira, Portugal
Real-time monocular 6-DOF head pose estimation from salient 2D points
IEEE International Conference on Image Processing (ICIP) IEEE International Conference on Image Processing (ICIP-2017), September 17-20, Beijing, China