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ORCIDMartin Hofmann 0011
Person information
- affiliation: TU Munich, Institute for Human-Machine Communication
Other persons with the same name
- Martin Hofmann — disambiguation page
- Martin Hofmann 0001
![[0000-0002-6258-8255]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6258-8255")
— LMU Munich, Institute for Informatics, Germany - Martin Hofmann 0002 — SAP AG, Walldorf, Germany
- Martin Hofmann 0005 — Forschungszentrum Karlsruhe, Germany
- Martin Hofmann 0006 — Vanderbilt University, Nashville, TN, USA
- Martin Hofmann 0007 — University of Jena, Germany
- Martin Hofmann 0008 — University of Bamberg, Germany
- Martin Hofmann-Apitius (aka: Martin Hofmann 0009) — Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany (and 1 more)
- Martin Hofmann 0010 — Volkswagen AG
- Martin Hofmann 0012 — Pädagogische Hochschule des Kantons St.Gallen
- Martin Hofmann 0013 — Institute of Sports Science, University of Magdeburg
- Martin Hofmann 0014 — University of Würzburg, Institute of Mathematics
- Martin Möddel (aka: Martin Hofmann 0016) — University Medical Center Hamburg-Eppendorf, Institute of Biomedical Imaging, Germany
- Martin Hofmann 0017 — Ruhr University Bochum, Germany
- Martin Hofmann 0018 — Braunschweig University of Technology, Germany
- Martin Hofmann 0019 — Technische Universität Ilmenau, Germany
- Martin Hofmann 0020 — University of Applied Sciences Wuerzburg-Schweinfurt, Bad Neustadt, Germany
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2020 – today
- 2024
[i1]Philipp Wolters, Johannes Gilg, Torben Teepe, Fabian Herzog, Anouar Laouichi, Martin Hofmann, Gerhard Rigoll:
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception. CoRR abs/2403.07746 (2024)
2010 – 2019
- 2014
- [j2]Martin Hofmann, Jürgen T. Geiger, Sebastian Bachmann, Björn W. Schuller, Gerhard Rigoll:
The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits. J. Vis. Commun. Image Represent. 25(1): 195-206 (2014) - [j1]Stavros Ntalampiras, Dejan Arsic, Martin Hofmann, Maria Andersson, Todor Ganchev:
PROMETHEUS: heterogeneous sensor database in support of research on human behavioral patterns in unrestricted environments. Signal Image Video Process. 8(7): 1211-1231 (2014) - [c13]Philipp Tiefenbacher, Martin Hofmann, Daniel Merget, Gerhard Rigoll:
PID-based regulation of background dynamics for foreground segmentation. ICIP 2014: 3282-3286 - 2013
- [b1]Martin Hofmann:
Detection, tracking and gait-based identification of multiple people in videos. Technical University Munich, Verlag Dr. Hut 2013, ISBN 978-3-8439-1371-3, pp. 1-176 - [c12]Martin Hofmann, Daniel Wolf, Gerhard Rigoll:
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking. CVPR 2013: 3650-3657 - [c11]Jürgen T. Geiger, Martin Hofmann, Björn W. Schuller, Gerhard Rigoll:
Gait-based person identification by spectral, cepstral and energy-related audio features. ICASSP 2013: 458-462 - [c10]Martin Hofmann, Gerhard Rigoll:
Exploiting gradient histograms for gait-based person identification. ICIP 2013: 4171-4175 - 2012
- [c9]Martin Hofmann, Sebastian Bachmann, Gerhard Rigoll:
2.5D gait biometrics using the Depth Gradient Histogram Energy Image. BTAS 2012: 399-403 - [c8]Martin Hofmann, Philipp Tiefenbacher, Gerhard Rigoll:
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter. CVPR Workshops 2012: 38-43 - [c7]Martin Hofmann, Stephan M. Schmidt, A. N. Rajagopalan, Gerhard Rigoll:
Combined face and gait recognition using alpha matte preprocessing. ICB 2012: 390-395 - [c6]Martin Hofmann, Gerhard Rigoll:
Improved Gait Recognition using Gradient Histogram Energy Image. ICIP 2012: 1389-1392 - 2011
- [c5]Martin Hofmann, Martin Kiechle, Gerhard Rigoll:
Late fusion for person detection in camera networks. CVPR Workshops 2011: 41-46 - [c4]Martin Hofmann, Moritz Kaiser, Nicolas H. Lehment, Gerhard Rigoll:
Event Detection in a Smart Home Environment using Viterbi Filtering and Graph Cuts in a 3D Voxel Occupancy Grid. VISAPP 2011: 242-247 - [c3]Martin Hofmann, Daniel Wolf, Gerhard Rigoll:
Identification and Reconstruction of Complete Gait Cycles for Person Identification in Crowded Scenes. VISAPP 2011: 594-597 - 2010
- [c2]Martin Hofmann, Gerhard Rigoll, Thomas S. Huang:
Dense spatio-temporal motion segmentation for tracking multiple self-occluding people. CVPR Workshops 2010: 9-14 - [c1]Andre Störmer, Martin Hofmann, Gerhard Rigoll:
Depth gradient based segmentation of overlapping foreground objects in range images. FUSION 2010: 1-4
Coauthor Index
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