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pro vyhledávání: '"Scheck Tobias"'
Autor:
Siedel Roman, Scheck Tobias, Perez Grassi Ana C., Seuffert Julian B., Apitzsch André, Yu Jingrui, Nestler Norbert, Heinz Danny, Lehmann Lars, Goy Anne, Hirtz Gangolf
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 388-391 (2020)
In recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide a
Externí odkaz:
https://doaj.org/article/67ce5d6b0a7f40ac93828a0fe49891f7
Human pose estimation (HPE) with convolutional neural networks (CNNs) for indoor monitoring is one of the major challenges in computer vision. In contrast to HPE in perspective views, an indoor monitoring system can consist of an omnidirectional came
Externí odkaz:
http://arxiv.org/abs/2304.08186
Synthetic images are one of the most promising solutions to avoid high costs associated with generating annotated datasets to train supervised convolutional neural networks (CNN). However, to allow networks to generalize knowledge from synthetic to r
Externí odkaz:
http://arxiv.org/abs/2012.08205
Publikováno v:
Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332V
The development in the field of autonomous driving goes hand in hand with ever new developments in the field of image processing and machine learning methods. In order to fully exploit the advantages of deep learning, it is necessary to have sufficie
Externí odkaz:
http://arxiv.org/abs/2011.05822
A Convolutional Neural Network (CNN) is sometimes confronted with objects of changing appearance ( new instances) that exceed its generalization capability. This requires the CNN to incorporate new knowledge, i.e., to learn incrementally. In this pap
Externí odkaz:
http://arxiv.org/abs/2011.05734
Recent work about synthetic indoor datasets from perspective views has shown significant improvements of object detection results with Convolutional Neural Networks(CNNs). In this paper, we introduce THEODORE: a novel, large-scale indoor dataset cont
Externí odkaz:
http://arxiv.org/abs/2011.05719
Autor:
Scheck, Tobias
Perception, primarily through vision, is a vital human ability that informs decision-making and interactions with the world. Computer Vision, the field dedicated to emulating this human capability in computers, has witnessed transformative progress w
Autor:
Osten, Wolfgang, Nikolaev, Dmitry P., Scheck, Tobias, Mallandur, Adarsh, Wiede, Christian, Hirtz, Gangolf
Publikováno v:
Proceedings of SPIE; January 2020, Vol. 11433 Issue: 1 p114332V-114332V-10, 11318879p