| Welcome to the website of Dr.-Ing. David Münch. I am a researcher at the Fraunhofer IOSB, Video Content Analysis (VCA) group led by Dr. Wolfgang Hübner and Dr. Michael Arens and a lecturer (Lehrbeauftragter) at the Baden-Württemberg Cooperative State University (DHBW) Karlsruhe. |  |
| My research interests are in the incorporation of knowledge into intelligent systems with the aim to raise the performance of content based video analysis according to semantic depth, local and temporal extent, and expressibility. |
Publications
Supervised Theses
Professional Activities
Lectures and Tutorials
Contact
Open Positions
PhD position: Explainable Machine/Deep Learning, (full time) [PDF]
Studentische Hilfskraft (HiWi) Explainable Machine/Deep Learning, (part time) [PDF]
Studentische Hilfskraft (HiWi) Multi sensor calibration (part time) [PDF]
Studentische Hilfskraft (HiWi) Action recognition in videos (part time) [PDF]
Publications
orcid.org/0000-0002-8577-5256J. Bayer, S. Becker, D. Münch, M. Arens, J. Beyerer. Traversing the Subspace of Adversarial Patches. Special Issue on Advances in Visual Computing in Machine Vision and Applications, tba. [BibTex] [PDF] (submitted)
D. Münch, J. Bayer, S. Becker, K. Birke, M. Arens. Object detection in the thermal infrared spectral range by diffusion model based domain adaptation of the training data. Proc. of the Security and Defence Conference SPIE 2024, Edinburgh, UK, 2024. [BibTex] [PDF] (submitted)
J. Bayer, S. Becker, D. Münch, M. Arens. Network transferability of adversarial patches in real-time object detection. Proc. of the Security and Defence Conference SPIE 2024, Edinburgh, UK, 2024. [BibTex] [PDF] (submitted)
J. Bayer, Stefan Becker, D. Münch, M. Arens. Eigenpatches—Adversarial Patches from Principal Components. Proc. of the 18th International Symposium on Visual Computing 2023, Lake Thaoe, NV, USA, 2023. [BibTex] [PDF]
J. Bayer, D. Münch, M. Arens. APMD: Adversarial Pixel Masking Derivative for Multispectral Object Detectors. Proc. of the Security and Defence Conference SPIE 2022, Berlin, Germany, 2022. [BibTex] [PDF]
J. Bayer, D. Münch, M. Arens. Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification. Proc. of the 4th International Workshop on Reproducible Research in Pattern Recognition, Montreal, Canada, 2022. [BibTex] [PDF]
J. Bayer, D. Münch, M. Arens. Deep Saliency Map Generators for Multispectral Video Classification. Proc. of the 26th International Conference on Pattern Recognition, Montreal, Canada, 2022. [BibTex] [PDF]
V. Buhrmester, D. Münch, M. Arens. Analysis of explainers of black box deep neural networks for computer vision: A survey. Machine Learning and Knowledge Extraction, 2021. [BibTex] [PDF]
J. Bayer, D. Münch, M. Arens. A comparison of deep saliency map generators on multispectral data in object detection. Proc. of the Security and Defence Conference SPIE 2021, Online, 2021. [BibTex] [PDF]
J. Bayer, D. Münch, M. Arens. Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition. Proc. of Pattern Recognition. ICPR International Workshops and Challenges, Virtual Event, 2021. [BibTex] [PDF]
F. Hertlein, D. Münch, M. Arens. Context Sensitivity of Spatio-Temporal Activity Detection using Hierarchical Deep Neural Networks in Extended Videos. 2nd International Workshop on Human Activity Detection in Multi-Camera, Continuous, Long-Duration Video (HADCV2020) at WACV 2020, Aspen, Colorado, USA, 2020. [BibTex] [PDF] [Poster]
D. Münch, A.-K. Grosselfinger, E. Krempel, M. Hebel, M. Arens. Data anonymization for data protection on publicly recorded data. 12th International Conference on Computer Vision Systems, Thessaloniki, Greece, 2019. [BibTex] [PDF]
P. Schlosser, D. Münch, M. Arens. Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals. 5th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2019, Long Beach, California, USA, 2019. [BibTex] [PDF] [Poster]
V. Buhrmester, D. Münch, D. Bulatov, M. Arens. Evaluating the Impact of Color Information in Deep Neural Networks. Proc. of the 9th Iberian Conference on Pattern Recognition and Image Analysis, Madrid, Spain, 2019. [BibTex] [PDF]
R. Peter, A.-K. Grosselfinger, D. Münch, M. Arens. Automated license plate detection for image anonymization. Proc. of the Security and Defence Conference SPIE 2019, Strasbourg, France, 2019. [BibTex] [PDF] (Best Student Paper Award)
A.-K. Grosselfinger, D. Münch, M. Arens. An architecture for automatic multi-modal video data anonymization to ensure data protection. Proc. of the Security and Defence Conference SPIE 2019, Strasbourg, France, 2019. [BibTex] [PDF]
V. Buhrmester, A.-K. Grosselfinger, D. Münch, M. Arens. Augmentation techniques for video surveillance in the visible and thermal spectral range. Proc. of the Security and Defence Conference SPIE 2019, Strasbourg, France, 2019. [BibTex] [PDF]
D. Münch, M. Arens. Dynamic belief fusion of different person detection methods. Security and Defence Conference SPIE 2018, Berlin, Germany, 2018.[BibTex] [PDF] (10802-29 Presentation only)
D. Münch. Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information [in German] Dissertation Fakultät für Informatik. KIT. Karlsruhe 2017. [BibTex] [PDF]
B. Hilsenbeck, D. Münch, A.-K. Grosselfinger, W. Hübner, M. Arens. Action Recognition in the Longwave Infrared and the Visible Spectrum using Hough Forests. In Proc. of the IEEE International Symposium on Multimedia, San Jose, California, USA, 2016. [BibTex] [PDF]
B. Hilsenbeck, D. Münch, H. Kieritz, W. Hübner, M. Arens. Hierarchical Hough Forests for View-Independent Action Recognition. In Proc. of 23rd International Conference on Pattern Recognition, Cancún, México, 2016. [BibTex] [PDF]
D. Münch, S. Becker, H. Kieritz, W. Hübner, M. Arens. Video-based log generation for security systems in indoor surveillance scenarios. Proc. of the 11th Future Security Research Conference, Berlin, Germany, 2016.[BibTex] [PDF]
D. Münch, B. Hilsenbeck, H. Kieritz, S. Becker, A.-K. Grosselfinger, W. Hübner, M. Arens. Detection of infrastructure manipulation with knowledge-based video surveillance. Proc. of the Security and Defence Conference SPIE 2016, Edinburgh, UK, 2016.[BibTex] [PDF]
E. Michaelsen, D. Münch, M. Arens. Searching Remotly Sensed Images for Meaningful Nested Gestalten. ISPRS Archives, Prague,Czech Republic, 2016. [BibTex] [PDF]
S. Becker, D. Münch, H. Kieritz, W. Hübner, M. Arens. Detecting abandoned objects using interacting multiple models. Proc. of the Security and Defence Conference SPIE 2015, Toulouse, France, 2015.[BibTex] [PDF]
D. Münch, S. Becker, H. Kieritz, W. Hübner, M. Arens. Knowledge-based Situational Analysis of Unusial Events in Public Places. Proc. of the 10th Future Security Research Conference, Berlin, Germany, 2015.[BibTex] [PDF]
D. Münch, W. Hübner, M. Arens. Generalized Hough Transform based Time Invariant Action Recognition with 3D Pose Information. Proc. of the Security and Defence Conference SPIE 2014, Amsterdam, Netherlands, 2014. [BibTex] [PDF]
D. Münch, A.-K. Grosselfinger, H. Kieritz, W. Hübner, M. Arens. Architecture for and Evaluation of Situational Analysis in the Real World. Proc. of the 9th Future Security Research Conference, Berlin, Germany, 2014. [BibTex] [PDF]
J. IJsselmuiden, D. Münch, A.-K. Grosselfinger, M. Arens, R. Stiefelhagen. Automatic understanding of group behavior using fuzzy temporal logic. Journal of Ambient Intelligence and Smart Environments (JAISE). [BibTex] [PDF]
A.-K. Grosselfinger, D. Münch, W. Hübner, M. Arens. Feature-based Automatic Configuration of Semi-Stationary Multi-Camera Components. Proc. of the Security and Defence Conference SPIE 2013, Dresden, Germany, 2013. [BibTex] [PDF]
D. Münch, S. Becker, A.-K. Grosselfinger, W. Hübner, M. Arens. Towards Situational Awareness Systems based on Semi-Stationary Multi-Camera Components. Proc. of the 8th Future Security Research Conference, Berlin, Germany, 2013. [BibTex] [PDF]
E. Michaelsen, D. Münch, M. Arens. Recognition of Symmetry Structure by Use of Gestalt Algebra. Proc. of Conference on Computer Vision and Pattern Recognition Workshops 2013, Portland, USA, 2013. [BibTex] [PDF]
D. Münch, A.-K. Grosselfinger, W. Hübner, M. Arens. Automatic Unconstrained Online Configuration of a Master-Slave Camera System. Proc. of the 9th International Conference on Computer Vision Systems, St. Petersburg, Russia, 2013. [BibTex] [PDF] (Best Paper Award)
J. IJsselmuiden, A.-K. Grosselfinger, D. Münch, M. Arens, R. Stiefelhagen. Automatic Behavior Understanding in Crisis Response Control Rooms. Proc. of International Joint Conference on Ambient Intelligence, Pisa, Italy, 2012. [BibTex] [PDF]
D. Münch, E. Michaelsen, M. Arens. Supporting Fuzzy Metric Temporal Logic Based Situation Recognition by Mean Shift Clustering. Proc. of the 35rd Annual German Conference on Advances in Artificial Intelligence, Saarbrücken, Germany, 2012. [BibTex] [PDF]
D. Münch, J. IJsselmuiden, A.-K. Grosselfinger, M. Arens, R. Stiefelhagen. Rule-Based High-Level Situation Recognition from Incomplete Tracking Data. Proc. of the 6th International Symposium on Rules: Research Based and Industry Focused, Montpellier, France, 2012. [BibTex] [PDF]
D. Münch, S. Becker, W. Hübner, M. Arens. Towards a Real-time Situational Awareness System for Surveillance Applications in Unconstrained Environments. Proc. of the 7th Future Security Research Conference, Bonn, Germany, 2012. [BibTex] [PDF]
D. Münch, J. IJsselmuiden, M. Arens, R. Stiefelhagen. High-Level Situation Recognition Using Fuzzy Metric Temporal Logic, Case Studies in Surveillance and Smart Environments. Proc. of the International Conference on Computer Vision Workshops, IEEE Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Barcelona, Spain, 2011. [BibTex] [PDF]
D. Münch, K. Jüngling, M. Arens. Towards a Multi-purpose Monocular Vision-based High-Level Situation Awareness System. Proc. of the International Conference on Computer Vision Systems Workshops, International Workshop on Behaviour Analysis and Video Understanding, Sophia Antipolis, France, 2011. [BibTex] [PDF]
D. Münch, K. Jüngling, M. Arens. Video Analysis for Situation and Threat Recognition. Proc. of the 6th Future Security Research Conference, Berlin, Germany, 2011. [BibTex] [PDF]
P. Azad, D. Münch, T. Asfour, R. Dillmann. 6-DoF Model-based Tracking of Arbitrarily Shaped 3D Objects. Proc. of the IEEE International Conference on Robotics and Automation, Shanghai, China, 2011. [BibTex] [PDF]
D. Münch. 6-DoF-particle filter-based tracking of arbitrarily shaped objects. Diplomarbeit Fakultät für Informatik. Institut für Anthropomatik (IFA). Karlsruhe 2010. [BibTex] [PDF]
D. Münch. Parallel programming with CUDA – Architecture, Analysis, Application. Studienarbeit Fakultät für Informatik. Institut für Programmstrukturen und Datenorganisation (IPD). Karlsruhe 2009. [BibTex] [PDF]
Supervised Theses
L. Düringer Untersuchung der Generalisierbarkeit adversarialer Angriffe bei Bilddaten. [in German] Studienarbeit. Studiengang Informatik. DHBW. Karlsruhe 2024. (ongoing)
K. Papadopoulou, I. Idderhem Künstliche Intelligenz in der medizinischen Bildgebung und Diagnostik: Eine umfassende Analyse. [in German] Studienarbeit. Studiengang Informatik. DHBW. Karlsruhe 2024. (ongoing)
K. Birke. Objektdetektion im thermisch infraroten Spektralbereich durch Domänenadaption der Trainingsdaten. [in German] Master thesis Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2023. [BibTex] [PDF]
A. Geisbauer, M. Wagner Erstellung einer Tetris KI und Analyse verschiedener KI-Verfahren. [in German] Studienarbeit. Studiengang Informatik. DHBW. Karlsruhe 2023.
F. Steigleder Evaluation von gekachelter Inferenz mit YOLOv7 für die Detektion kleiner Objekte. [in German] Studienarbeit. Studiengang Informatik. DHBW. Karlsruhe 2023.
E. W. Heinz. Thermal Infrared Object Detection by Adversarial-based Domain Adaptation. Master thesis Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2022. [BibTex] [PDF]
K. Kahl, T. Riedinger. Objekterkennung und Verbesserung der Small Object Detection. [in German] Studienarbeit. Studiengang Informatik. DHBW. Karlsruhe 2022.
P. Keffer, P. Faller. Untersuchung von Emergenzeffekten bei Lernverfahren mit mehreren Agenten in selbst entwickelten Lernumgebungen am Beispiel von Ameisenpopulationen. [in German] Studienarbeit. Studiengang Informatik. DHBW. Karlsruhe 2021.
F. Hertlein. Context Sensitivity of Spatio-Temporal Activity Detection using Hierarchical Deep Neural Networks in Extended Videos. Master thesis Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2019. [BibTex] [PDF]
J. Bayer. Erkennung und Ausnutzung von Out-of-Distribution Samples zur Eigendiagnose und Verbesserung der Diskriminanzleistung in Lernverfahren. [in German] Master thesis Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2019. [BibTex] [PDF]
T. Joseph. Incorporating graph-based knowledge into deep neural networks to support one-shot learning in video-based action recognition. Master thesis Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2019. [BibTex] [PDF]
P. Schlosser. Untersuchung der Kombination von 3D Convolution auf Bilddaten und optischem Fluss zur Erzeugung von Temporal Action Proposals. [in German] Master thesis Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2018. [BibTex] [PDF]
E. Dursun. Gaze Control Strategien zur Überwachung dynamischer Szenen unter Verwendung eines Master-Slave Kamera-Systems. [in German] Studienarbeit Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2013. [BibTex] [PDF]
A. Katumba. Rule Based Situation Recognition In Video Streams. Master thesis Fakultät für Maschinenbau. Institut für Mess- und Regelungstechnik (MRT). KIT. Karlsruhe 2013. [BibTex] [PDF]
C. Ramirez. Time invariant action recognition with 3D pose information based on the generalized Hough transformation. Master thesis Institute for Robotics and Process Control (IRP). TU Braunschweig. Braunschweig 2013. [BibTex] [PDF]
A.-K. Grosselfinger. Automatische Konfiguration eines Mehrkamerasystems zur Verfolgung von Objekten in unstrukturierten Umgebungen. [in German] Diplomarbeit Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2012. [BibTex] [PDF]
S. Bauer. Comparing Ontologies and Situatin Graph Trees in Cognitive Vision Systems. Diplomarbeit Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2012. [BibTex] [PDF]
T. Zepf. From the Articulated 3D Pose of the Human Body to Basic Action Recognition. Diplomarbeit Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2012. [BibTex] [PDF]
A.-K. Grosselfinger. Zur Behandlung von Unsicherheit und unvollständiger Information bei der videobasierten Situationserkennung. [in German] Studienarbeit Fakultät für Informatik. Institut für Anthropomatik (IFA). KIT. Karlsruhe 2011. [BibTex] [PDF]
Professional Activities
Reviewer, 27th International Conference on Pattern Recognition (ICPR). Kolkata, India, 2024.
Technical Program Committee/Reviewer, 20th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) at CVPR 2024. Seattle, Washington, USA, 2024.
Program Committee, SPIE Security and Defence, Conference SD109: Artificial Intelligence for Security and Defence Applications II. Edinburgh, UK, 2024.
Technical Program Committee/Reviewer, 19th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) at CVPR 2023. Vancouver, Canada, 2023.
Program Committee, SPIE Security and Defence, Conference 12742: Artificial Intelligence for Security and Defence Applications. Amsterdam, Netherlands, 2023.
Reviewer, 4th International Workshop on Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV'22), at WACV 2022. Waikoloa, Hawaii, USA, 2022.
Reviewer, 26th International Conference on Pattern Recognition, Montreal, Canada, 2022.
Technical Program Committee/Reviewer, 18th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) at CVPR 2022. New Orleans, Louisiana, USA, 2022.
Program Committee, SPIE Security and Defence, Conference 12275: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies VI. Berlin, Germany, 2022.
Technical Program Committee/Reviewer, 17th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) at CVPR 2021. Virtual, 2021.
Program Committee, SPIE Security and Defence, Conference 11869: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies V. Online, 2021.
Technical Program Committee/Reviewer, 16th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) at CVPR 2020. Seattle, Washington, USA, 2020.
Program Committee, SPIE Security and Defence, Conference 11542: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV. Online, 2020.
Program Committee, 2nd International ACM Workshop on Multimedia Content Analysis in Sports (ACM MMSports'19) at ACMMM 2019. Nice, France, 2019.
Program Committee, SPIE Security and Defence, Conference 11166: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies III. Strasbourg, France, 2019.
Program Committee, SPIE Security and Defence, Conference 10802: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II. Berlin, Germany, 2018.
Program Committee, SPIE Security and Defence, Conference 10441: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies. Warsaw, Poland, 2017.
Program Committee, SPIE Security and Defence, Conference 9995: Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII. Edinburgh, UK, 2016.
Lectures [in German]
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, SS 2024
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, WS 2023/2024
Einführung in die Bildfolgenauswertung, 14. Vorlesung: XIA: Inside the black box - principles and examples [PDF], KIT, SS 2023
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, SS 2023
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, WS 2022/2023
Einführung in die Bildfolgenauswertung, 4. Vorlesung: Bewegungsschätzung - Optischer Fluss [PDF], KIT, SS 2022
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, SS 2022
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, WS 2021/2022
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, SS 2021
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, WS 2020/2021
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, SS 2020
Grundlagen der Künstlichen Intelligenz, DHBW Karlsruhe, WS 2019/2020
Einführung in die Bildfolgenauswertung, 8. Vorlesung: Objektverfolgung [PDF], KIT, SS 2019
Wissensbasierte Systeme, DHBW Karlsruhe, SS 2019
Einführung in die Bildfolgenauswertung, 14. Vorlesung: Begriffliche Situationsanalyse bei Videoüberwachung im Personenkontext [PDF], KIT, SS 2016
Einführung in die Bildfolgenauswertung, 14. Vorlesung: Begriffliche Situationsanalyse bei Videoüberwachung im Personenkontext [PDF], KIT, SS 2015
Tutorials [in German]
Theoretische Grundlagen der Informatik, Tutorium 12 & 13, KIT, WS 2009/2010
Informatik 4, Tutorium 16 & 17, Universität Karlsruhe, SS 2009
Informatik 3, Tutorium 9 & 10, Universität Karlsruhe, WS 2008/2009
Informatik 4, Tutorium 12 & 13, Universität Karlsruhe, SS 2008
Informatik 3, Tutorium 13 & 15, Universität Karlsruhe, WS 2007/2008
Contact
Dr.-Ing. David Münch
david.muench@iosb.fraunhofer.de
+49 7243 992-176
Fraunhofer Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Gutleuthausstraße 1
76275 Ettlingen
Germany