43 citations · 45 across the 7 of their papers we have counts for
7 papers
Walk the Lines 2: Contour Tracking for Detailed Segmentation
André Peter Kelm, Max Braeschke, Emre Gülsoylu +1
This paper presents Walk the Lines 2 (WtL2), a unique contour tracking algorithm specifically adapted for detailed segmentation of infrared (IR) ships and various objects in RGB.1…
TRUDI and TITUS: A Multi-Perspective Dataset and A Three-Stage Recognition System for Transportation Unit Identification
Emre Gülsoylu, André Kelm, Lennart Bengtson +5
Identifying transportation units (TUs) is essential for improving the efficiency of port logistics. However, progress in this field has been hindered by the lack of publicly availa…
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Kelm, Niels Hannemann, Bruno Heberle +5
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new…
Image and AIS Data Fusion Technique for Maritime Computer Vision Applications
Emre Gülsoylu, Paul Koch, Mert Yıldız +2
Deep learning object detection methods, like YOLOv5, are effective in identifying maritime vessels but often lack detailed information important for practical applications. In this…
High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention
André Peter Kelm, Niels Hannemann, Bruno Heberle +5
This paper introduces a novel network topology that seamlessly integrates dynamic inference cost with a top-down attention mechanism, addressing two significant gaps in traditional…
Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships
André Peter Kelm, Udo Zölzer
We develop a new contour tracing algorithm to enhance the results of the latest object contour detectors. The goal is to achieve a perfectly closed, 1 pixel wide and detailed objec…
Object Contour and Edge Detection with RefineContourNet
Andre Peter Kelm, Vijesh Soorya Rao, Udo Zoelzer
A ResNet-based multi-path refinement CNN is used for object contour detection. For this task, we prioritise the effective utilization of the high-level abstraction capability of a…