Real-time object recognition using a modified generalized Hough transform. - Markus Ulrich; Carsten Steger; Albert Baumgartner (Pattern Recognit., 2003)

Hierarchical real-time recognition of compound objects in images. - Markus Ulrich (2003)

Tropical - parameter estimation and simulation of reaction-diffusion models based on spatio-temporal microscopy images. - Markus Ulrich; Constantin Kappel; Joël Beaudouin; Stefan Hezel; Jochen Ulrich; Roland Eils (Bioinform., 2006)

Recognition and Tracking of 3D Objects. - Christian Wiedemann; Markus Ulrich; Carsten Steger (DAGM-Symposium, 2008)

CAD-based recognition of 3D objects in monocular images. - Markus Ulrich; Christian Wiedemann; Carsten Steger (ICRA, 2009)

Model globally, match locally: Efficient and robust 3D object recognition. - Bertram Drost; Markus Ulrich; Nassir Navab; Slobodan Ilic (CVPR, 2010)

Combining Scale-Space and Similarity-Based Aspect Graphs for Fast 3D Object Recognition. - Markus Ulrich; Christian Wiedemann; Carsten Steger (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

The UCS-Model of Corporate Sustainability - Description, Development and Incorporation in the Simulation Game Napuro. - Markus Ulrich (ISAGA, 2013)

Introducing MVTec ITODD - A Dataset for 3D Object Recognition in Industry. - Bertram Drost; Markus Ulrich; Paul Bergmann; Philipp Härtinger; Carsten Steger (ICCV Workshops, 2017)

Subpixel-Precise Tracking of Rigid Objects in Real-Time. - Tobias Böttger; Markus Ulrich; Carsten Steger (SCIA (1), 2017)

MVTec D2S: Densely Segmented Supermarket Dataset. - Patrick Follmann; Tobias Böttger; Philipp Härtinger; Rebecca König; Markus Ulrich (ECCV (10), 2018)

Review of Haptic and Computerized (Simulation) Games on Climate Change. - Andreas Gerber; Markus Ulrich; Patrick A. Wäger (ISAGA, 2019)

A camera model for cameras with hypercentric lenses and some example applications. - Markus Ulrich; Carsten Steger (Mach. Vis. Appl., 2019)

Artificial intelligence with neural networks in optical measurement and inspection systems. - Michael Heizmann; Alexander Braun; Markus Hüttel; Christina Klüver; Erik Marquardt; Michael Overdick; Markus Ulrich (Autom., 2020)

Generic Hand-Eye Calibration of Uncertain Robots. - Markus Ulrich; Markus Hillemann (ICRA, 2021)

A Camera Model for Line-Scan Cameras with Telecentric Lenses. - Carsten Steger; Markus Ulrich (Int. J. Comput. Vis., 2021)

Implementing machine learning: chances and challenges. - Michael Heizmann; Alexander Braun; Markus Glitzner; Matthias Günther; Günther Hasna; Christina Klüver; Jakob Krooß; Erik Marquardt; Michael Overdick; Markus Ulrich (Autom., 2022)

Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space. - Dennis Haitz; Boris Jutzi; Patrick Hübner; Markus Ulrich (CoRR, 2022)

A Multi-view Camera Model for Line-Scan Cameras with Telecentric Lenses. - Carsten Steger; Markus Ulrich (J. Math. Imaging Vis., 2022)

Automatic Real-Time Pose Estimation of Machinery from Images. - Marcel Bertels; Boris Jutzi; Markus Ulrich (Sensors, 2022)

Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield. - Dominik Werner Wolf; Markus Ulrich; Nikhil Kapoor (ICCV (Workshops), 2023)

Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient. - Dominik Werner Wolf; Markus Ulrich; Alexander Braun (ITSC, 2023)

DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation. - Steven Landgraf; Kira Wursthorn; Markus Hillemann; Markus Ulrich (CoRR, 2023)

Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping. - Dennis Haitz; Boris Jutzi; Markus Ulrich; Miriam Jäger; Patrick Hübner (CoRR, 2023)

Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Deep Learning. - Steven Landgraf; Markus Hillemann; Moritz Aberle; Valentin Jung; Markus Ulrich (CoRR, 2023)

U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation. - Steven Landgraf; Markus Hillemann; Kira Wursthorn; Markus Ulrich (CoRR, 2023)

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation. - Steven Landgraf; Markus Hillemann; Theodor Kapler; Markus Ulrich (GCPR (2), 2024)

Decoupling of Neural Network Calibration Measures. - Dominik Werner Wolf; Prasannavenkatesh Balaji; Alexander Braun; Markus Ulrich (GCPR (1), 2024)

Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation. - Kira Wursthorn; Markus Hillemann; Markus Ulrich (CoRR, 2024)

Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications. - Markus Hillemann; Robert Langendörfer; Max Heiken; Max Mehltretter; Andreas Schenk; Martin Weinmann; Stefan Hinz; Christian Heipke; Markus Ulrich (CoRR, 2024)

Evaluation of Multi-task Uncertainties in Joint Semantic Segmentation and Monocular Depth Estimation. - Steven Landgraf; Markus Hillemann; Theodor Kapler; Markus Ulrich (CoRR, 2024)

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration. - Dominik Werner Wolf; Alexander Braun; Markus Ulrich (CoRR, 2024)

Uncertainty-Aware Hand-Eye Calibration. - Markus Ulrich; Markus Hillemann (IEEE Trans. Robotics, 2024)

A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation. - Steven Landgraf; Rongjun Qin; Markus Ulrich (CoRR, 2025)

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness. - Steven Landgraf; Markus Hillemann; Markus Ulrich (CoRR, 2025)

An Evaluation of DUSt3R/MASt3R/VGGT 3D Reconstruction on Photogrammetric Aerial Blocks. - Xinyi Wu; Steven Landgraf; Markus Ulrich; Rongjun Qin (CoRR, 2025)