806 citations
- University of BonnDE47 papers
- TU Dortmund UniversityDE7 papers
- Fraunhofer Institute for Industrial MathematicsDE6 papers
- Texas A&M UniversityUS6 papers
- Bonn Aachen International Center for Information TechnologyDE4 papers
- Fraunhofer Institute for Algorithms and Scientific ComputingDE4 papers
- Hochschule Bonn-Rhein-SiegDE4 papers
- Fraunhofer-GesellschaftDE3 papers
- GESIS - Leibniz Institute for the Social SciencesDE3 papers
- Humboldt-Universität zu BerlinDE3 papers
- Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUS2 papers
- Indian Institute of Technology BombayIN2 papers
86 papers
Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation
Priya Tomar, Aditya Parikh, Christian Bauckhage +1
Effective multi-organ segmentation in surgical data requires learning the intricate anatomical features and alleviating the challenge of class imbalance, which results from relativ…
First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery
Priya Tomar, Maximilian Broß, Philipp Feodorovici +7
Surgical gauze is an essential part of surgical procedures, primarily used for controlling bleeding and absorbing bodily fluids. The post-surgical retention of gauze can lead to se…
Reliable Robotic Task Execution in the Face of Anomalies
Bharath Santhanam, Alex Mitrevski, Santosh Thoduka +2
Learned robot policies have consistently been shown to be versatile, but they typically have no built-in mechanism for handling the complexity of open environments, making them pro…
Enhancing Video-Based Robot Failure Detection Using Task Knowledge
Santosh Thoduka, Sebastian Houben, Juergen Gall +1
Robust robotic task execution hinges on the reliable detection of execution failures in order to trigger safe operation modes, recovery strategies, or task replanning. However, man…
Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance
Lars Hillebrand, Armin Berger, Daniel Uedelhoven +7
Risk and Quality (R&Q) assurance in highly regulated industries requires constant navigation of complex regulatory frameworks, with employees handling numerous daily queries demand…
Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM
Lars Hillebrand, David Biesner, Christian Bauckhage +1
The DEDICOM algorithm provides a uniquely interpretable matrix factorization method for symmetric and asymmetric square matrices. We employ a new row-stochastic variation of DEDICO…