Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Schüßler, Christian"'
Autor:
Braeutigam, Valentin, Wirth, Vanessa, Ullmann, Ingrid, Schüßler, Christian, Vossiek, Martin, Berking, Matthias, Egger, Bernhard
The 3D reconstruction of faces gains wide attention in computer vision and is used in many fields of application, for example, animation, virtual reality, and even forensics. This work is motivated by monitoring patients in sleep laboratories. Due to
Externí odkaz:
http://arxiv.org/abs/2412.02403
Autor:
Schuessler, Christian, Zhang, Wenxuan, Bräunig, Johanna, Hoffmann, Marcel, Stelzig, Michael, Vossiek, Martin
In the fast-paced field of human-computer interaction (HCI) and virtual reality (VR), automatic gesture recognition has become increasingly essential. This is particularly true for the recognition of hand signs, providing an intuitive way to effortle
Externí odkaz:
http://arxiv.org/abs/2402.12800
Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images
Autor:
Hoffmann, Marcel, Braun, Sandro, Sura, Oliver, Stelzig, Michael, Schüßler, Christian, Graichen, Knut, Vossiek, Martin
This paper presents an approach to automatically annotate automotive radar data with AI-segmented aerial camera images. For this, the images of an unmanned aerial vehicle (UAV) above a radar vehicle are panoptically segmented and mapped in the ground
Externí odkaz:
http://arxiv.org/abs/2309.00268
Autor:
Bräunig, Johanna, Schüßler, Christian, Wirth, Vanessa, Stamminger, Marc, Ullmann, Ingrid, Vossiek, Martin
With the increasing popularity of human-computer interaction applications, there is also growing interest in generating sufficiently large and diverse data sets for automatic radar-based recognition of hand poses and gestures. Radar simulations are a
Externí odkaz:
http://arxiv.org/abs/2307.15412
This paper introduces a method based on a deep neural network (DNN) that is perfectly capable of processing radar data from extremely thinned radar apertures. The proposed DNN processing can provide both aliasing-free radar imaging and super-resoluti
Externí odkaz:
http://arxiv.org/abs/2306.09839
Autor:
Hoffmann, Marcel, Noegel, Theresa, Schüßler, Christian, Schwenger, Lars, Gulden, Peter, Fey, Dietmar, Vossiek, Martin
This paper presents measures to reduce the computation time of automotive synthetic aperture radar (SAR) imaging to achieve real-time capability. For this, the image formation, which is based on the Back-Projection algorithm, was thoroughly analyzed.
Externí odkaz:
http://arxiv.org/abs/2306.09784
Autor:
Schüßler, Christian, Hoffmann, Marcel, Wirth, Vanessa, Eskofier, Björn, Weyrich, Tim, Stamminger, Marc, Vossiek, Martin
In this work a novel radar simulation concept is introduced that allows to simulate realistic radar data for Range, Doppler, and for arbitrary antenna positions in an efficient way. Further, it makes it possible to automatically annotate the simulate
Externí odkaz:
http://arxiv.org/abs/2305.14176
Autor:
Schuessler, Christian, Gruber, Roland
At the allocation and deallocation of small objects with fixed size, the standard allocator of the runtime system has commonly a worse time performance compared to allocators adapted for a special application field. We propose a memory allocator, ori
Externí odkaz:
http://arxiv.org/abs/1611.01667
Autor:
Shetty, Manjunath, Schüßler, Christian, Shastri, Mahesh, Sabbanahalli, Chethan, Chitrabhanu, C.P., Murthy, M., Jagadeesh Babu, S., Tomai, Takaaki, Anantharaju, K.S., Shivaramu, Prasanna D., Rangappa, Dinesh
Publikováno v:
In Ceramics International 1 April 2021 47(7) Part B:10274-10283
Akademický článek
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