3 citations · 8 across the 7 of their papers we have counts for
8 papers
Security Fence Inspection at Airports Using Object Detection
Nils Friederich, Andreas Specker, Jürgen Beyerer
To ensure the security of airports, it is essential to protect the airside from unauthorized access. For this purpose, security fences are commonly used, but they require regular i…
A Survey on Deep Learning Techniques for Action Anticipation
Zeyun Zhong, Manuel Martin, Michael Voit +2
The ability to anticipate possible future human actions is essential for a wide range of applications, including autonomous driving and human-robot interaction. Consequently, numer…
Attention-based Part Assembly for 3D Volumetric Shape Modeling
Chengzhi Wu, Junwei Zheng, Julius Pfrommer +1
Modeling a 3D volumetric shape as an assembly of decomposed shape parts is much more challenging, but semantically more valuable than direct reconstruction from a full shape repres…
Attention-based Point Cloud Edge Sampling
Chengzhi Wu, Junwei Zheng, Julius Pfrommer +1
Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point…
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
Tobias Kalb, Jürgen Beyerer
Deep neural networks for scene perception in automated vehicles achieve excellent results for the domains they were trained on. However, in real-world conditions, the domain of ope…
Effects of Architectures on Continual Semantic Segmentation
Tobias Kalb, Niket Ahuja, Jingxing Zhou +1
Research in the field of Continual Semantic Segmentation is mainly investigating novel learning algorithms to overcome catastrophic forgetting of neural networks. Most recent publi…
UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval
Andreas Specker, Mickael Cormier, Jürgen Beyerer
Recognizing soft-biometric pedestrian attributes is essential in video surveillance and fashion retrieval. Recent works show promising results on single datasets. Nevertheless, the…
Human Pose Estimation for Real-World Crowded Scenarios
Thomas Golda, Tobias Kalb, Arne Schumann +1
Human pose estimation has recently made significant progress with the adoption of deep convolutional neural networks. Its many applications have attracted tremendous interest in re…