67 citations · 114 across the 11 of their papers we have counts for
12 papers
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
Yongqiang Mao, Kaiqiang Chen, Wenhui Diao +4
The classification of airborne laser scanning (ALS) point clouds is a critical task of remote sensing and photogrammetry fields. Although recent deep learning-based methods have ac…
FaSS-MVS -- Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery
Boitumelo Ruf, Martin Weinmann, Stefan Hinz
With FaSS-MVS, we present an approach for fast multi-view stereo with surface-aware Semi-Global Matching that allows for rapid depth and normal map estimation from monocular aerial…
Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
Patrick Hübner, Martin Weinmann, Sven Wursthorn +1
In this paper, we present a novel pose normalization method for indoor mapping point clouds and triangle meshes that is robust against large fractions of the indoor mapping geometr…
ReS2tAC -- UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
Boitumelo Ruf, Jonas Mohrs, Martin Weinmann +2
With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the importance of embedded high-performance image processing has increased. For a long time, FPGAs…
Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs
Max Hermann, Boitumelo Ruf, Martin Weinmann
Real-time 3D reconstruction enables fast dense mapping of the environment which benefits numerous applications, such as navigation or live evaluation of an emergency. In contrast t…
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun, Peijin Wang, Zhiyuan Yan +11
With the rapid development of deep learning, many deep learning-based approaches have made great achievements in object detection task. It is generally known that deep learning is…