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ORCIDDavid Münch
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2020 – today
- 2024
[i6]Jens Bayer
, Stefan Becker, David Münch, Michael Arens:
Network transferability of adversarial patches in real-time object detection. CoRR abs/2408.15833 (2024)- 2023
- [c18]Jens Bayer, Stefan Becker, David Münch, Michael Arens:
Eigenpatches - Adversarial Patches from Principal Components. ISVC (2) 2023: 274-284 - [i5]Jens Bayer, Stefan Becker, David Münch, Michael Arens:
Eigenpatches - Adversarial Patches from Principal Components. CoRR abs/2306.10963 (2023) - 2022
- [c17]Jens Bayer, David Münch, Michael Arens:
Deep Saliency Map Generators for Multispectral Video Classification. ICPR 2022: 3757-3764 - [c16]Jens Bayer, David Münch, Michael Arens:
Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification. RRPR 2022: 51-56 - 2021
- [j2]Vanessa Buhrmester, David Münch, Michael Arens:
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey. Mach. Learn. Knowl. Extr. 3(4): 966-989 (2021) - [i4]Jens Bayer, David Münch, Michael Arens:
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection. CoRR abs/2108.11767 (2021) - 2020
- [c15]Jens Bayer, David Münch, Michael Arens:
Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition. ICPR Workshops (1) 2020: 26-40 - [c14]Felix Hertlein, David Münch, Michael Arens:
Context Sensitivity of Spatio-Temporal Activity Detection using Hierarchical Deep Neural Networks in Extended Videos. WACV Workshops 2020: 134-142 - [i3]Jens Bayer, David Münch, Michael Arens:
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition. CoRR abs/2003.01719 (2020)
2010 – 2019
- 2019
- [c13]Patrick Schlosser, David Münch, Michael Arens:
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals. CVPR Workshops 2019: 2448-2456 - [c12]Vanessa Buhrmester, David Münch, Dimitri Bulatov, Michael Arens:
Evaluating the Impact of Color Information in Deep Neural Networks. IbPRIA (1) 2019: 302-316 - [c11]David Münch, Ann-Kristin Grosselfinger, Erik Krempel, Marcus Hebel, Michael Arens:
Data Anonymization for Data Protection on Publicly Recorded Data. ICVS 2019: 245-258 - [i2]Patrick Schlosser, David Münch, Michael Arens:
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals. CoRR abs/1903.04176 (2019) - [i1]Vanessa Buhrmester, David Münch, Michael Arens:
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey. CoRR abs/1911.12116 (2019) - 2017
- [b1]David Münch:
Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information. Karlsruhe Institute of Technology, Germany, KIT Scientific Publishing 2017 - 2016
- [c10]Barbara Hilsenbeck, David Münch, Hilke Kieritz, Wolfgang Hübner, Michael Arens:
Hierarchical Hough forests for view-independent action recognition. ICPR 2016: 1911-1916 - [c9]Barbara Hilsenbeck, David Münch, Ann-Kristin Grosselfinger, Wolfgang Hübner, Michael Arens:
Action Recognition in the Longwave Infrared and the Visible Spectrum Using Hough Forests. ISM 2016: 329-332 - 2014
- [j1]Joris IJsselmuiden, David Münch, Ann-Kristin Grosselfinger, Michael Arens, Rainer Stiefelhagen:
Automatic understanding of group behavior using fuzzy temporal logic. J. Ambient Intell. Smart Environ. 6(6): 623-649 (2014) - 2013
- [c8]Eckart Michaelsen, David Münch, Michael Arens:
Recognition of Symmetry Structure by Use of Gestalt Algebra. CVPR Workshops 2013: 206-210 - [c7]David Münch, Ann-Kristin Grosselfinger, Wolfgang Hübner, Michael Arens:
Automatic Unconstrained Online Configuration of a Master-Slave Camera System. ICVS 2013: 1-10 - 2012
- [c6]Joris IJsselmuiden, Ann-Kristin Grosselfinger, David Münch, Michael Arens, Rainer Stiefelhagen:
Automatic Behavior Understanding in Crisis Response Control Rooms. AmI 2012: 97-112 - [c5]David Münch, Stefan Becker, Wolfgang Hübner, Michael Arens:
Towards a Real-Time Situational Awareness System for Surveillance Applications in Unconstrained Environments. Future Security 2012: 517-521 - [c4]David Münch, Eckart Michaelsen, Michael Arens:
Supporting Fuzzy Metric Temporal Logic Based Situation Recognition by Mean Shift Clustering. KI 2012: 233-236 - [c3]David Münch, Joris IJsselmuiden, Ann-Kristin Grosselfinger, Michael Arens, Rainer Stiefelhagen:
Rule-Based High-Level Situation Recognition from Incomplete Tracking Data. RuleML 2012: 317-324 - 2011
- [c2]David Münch, Joris IJsselmuiden, Michael Arens, Rainer Stiefelhagen:
High-level situation recognition using Fuzzy Metric Temporal Logic, case studies in surveillance and smart environments. ICCV Workshops 2011: 882-889 - [c1]Pedram Azad, David Münch, Tamim Asfour, Rüdiger Dillmann:
6-DoF model-based tracking of arbitrarily shaped 3D objects. ICRA 2011: 5204-5209
Coauthor Index
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