Lehr- und Lernumgebung auf der Basis von Internet/Intranet- Technologien und konventionellen Lehr- und Lernmethoden: Verbundprojekt "Lernforum Verlagswesen(LEVER)". - Michael Opitz (GI Jahrestagung, 2002)

End-to-End Text Recognition Using Local Ternary Patterns, MSER and Deep Convolutional Nets. - Michael Opitz; Markus Diem; Stefan Fiel; Florian Kleber; Robert Sablatnig (Document Analysis Systems, 2014)

GraphScale: Adding Expressive Reasoning to Semantic Data Stores. - Thorsten Liebig; Vincent Vialard; Michael Opitz; Sandra Metzl (ISWC (Posters & Demos), 2015)

Efficient Model Averaging for Deep Neural Networks. - Michael Opitz; Horst Possegger; Horst Bischof (ACCV (2), 2016)

Grid Loss: Detecting Occluded Faces. - Michael Opitz; Georg Waltner; Georg Poier; Horst Possegger; Horst Bischof (ECCV (3), 2016)

BIER - Boosting Independent Embeddings Robustly. - Michael Opitz; Georg Waltner; Horst Possegger; Horst Bischof (ICCV, 2017)

Ontologies and Reasoning to Capture Product Complexity in Automation Industry. - Stefan Elmer; Foued Jrad; Thorsten Liebig; Anees ul Mehdi; Michael Opitz; Thomas Stauß; Dirk Weidig (ISWC (Posters, Demos & Industry Tracks), 2017)

Connecting the Dots in Million-Nodes Knowledge Graphs with SemSpect. - Thorsten Liebig; Vincent Vialard; Michael Opitz (ISWC (Posters, Demos & Industry Tracks), 2017)

An Intent-Based Automated Traffic Light for Pedestrians. - Christian Ertler; Horst Possegger; Michael Opitz; Horst Bischof (AVSS, 2018)

Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems. - Georg Waltner; Michael Maurer; Thomas Holzmann; Patrick Ruprecht; Michael Opitz; Horst Possegger; Friedrich Fraundorfer; Horst Bischof (ITSC, 2018)

An Overview of the Festo Semantic Platform. - Kathrin Evers; Thorsten Liebig; Andreas Maisenbacher; Michael Opitz; Jan R. Seyler; Gunther Sudra; Jens Wissmann (ESWC (Satellite Events), 2019)

Building a Knowledge Graph for Products and Solutions in the Automation Industry. - Thorsten Liebig; Andreas Maisenbacher; Michael Opitz; Jan R. Seyler; Gunther Sudra; Jens Wissmann (KGB@ESWC, 2019)

Semi-supervised Detector Training with Prototypes for Vehicle Detection. - Georg Waltner; Michael Opitz; Georg Krispel; Horst Possegger; Horst Bischof (ITSC, 2019)

MURAUER: Mapping Unlabeled Real Data for Label AUstERity. - Georg Poier; Michael Opitz; David Schinagl; Horst Bischof (WACV, 2019)

HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval. - Georg Waltner; Michael Opitz; Horst Possegger; Horst Bischof (WACV, 2019)

FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data. - Georg Krispel; Michael Opitz; Georg Waltner; Horst Possegger; Horst Bischof (WACV, 2020)

Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly. - Michael Opitz; Georg Waltner; Horst Possegger; Horst Bischof (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

FAST3D: Flow-Aware Self-Training for 3D Object Detectors. - Christian Fruhwirth-Reisinger; Michael Opitz; Horst Possegger; Horst Bischof (BMVC, 2021)

Robustness of Object Detectors in Degrading Weather Conditions. - Muhammad Jehanzeb Mirza; Cornelius Bürkle; Julio Jarquin; Michael Opitz; Fabian Oboril; Kay-Ulrich Scholl; Horst Bischof (ITSC, 2021)

Scalable No-Code Knowledge Graph Exploration and Querying with SemSpect. - Thorsten Liebig; Michael Opitz; Vincent Vialard; Maximilian Wenzel (SEMANTiCS (Posters & Demos), 2023)