11 papers
MUSEBENCH: A Benchmark for AI-Generated Music Detection and Artifact Analysis
Yi Chen Liu, Syed Irfan Ali Meerza, Jiawei Yu +3
Advances in generative AI have made it possible to produce music that is nearly indistinguishable from human compositions, raising the question of whether such works can be reliabl…
trACT: temporal revelation Airborne Camera Trap
Oliver Bimber, Rakesh John Amala Arokia Nathan, Mohamed Youssef +3
Effective remote monitoring and surveillance using drones are frequently impeded by severe environmental and thermal clutter, dynamic vegetation, target camouflage, and system late…
Vision-Reasoning-Guided Occlusion Removal from Light Fields
Mohamed Youssef, Oliver Bimber
Occlusion-robust scene recovery remains a major challenge in computational imaging, particularly where dense vegetation severely limits visibility. We propose a visionreasoning-gui…
How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots
Oliver Bimber, Karl Dietrich von Ellenrieder, Michael Haller +6
In vegetated environments, such as forests, exploratory robots play a vital role in navigating complex, cluttered environments where human access is limited and traditional equipme…
Through-Foliage Surface-Temperature Reconstruction for Early Wildfire Detection
Mohamed Youssef, Lukas Brunner, Klaus Rundhammer +2
We present a method to reconstruct surface temperatures through forest vegetation by combining signal processing and machine learning, enabling fully automated aerial wildfire moni…
An aerial color image anomaly dataset for search missions in complex forested terrain
Rakesh John Amala Arokia Nathan, Matthias Gessner, Nurullah Özkan +6
After a family murder in rural Germany, authorities failed to locate the suspect in a vast forest despite a massive search. To aid the search, a research aircraft captured high-res…
DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging
Mohamed Youssef, Jian Peng, Oliver Bimber
Access to below-canopy volumetric vegetation data is crucial for understanding ecosystem dynamics. We address the long-standing limitation of remote sensing to penetrate deep into…
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation
Rakesh John Amala Arokia Nathan, Sigrid Strand, Daniel Mehrwald +2
Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstra…
Reciprocal Visibility
Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin +1
We propose a guidance strategy to optimize real-time synthetic aperture sampling for occlusion removal with drones by pre-scanned point-cloud data. Depth information can be used to…
Fusion of Single and Integral Multispectral Aerial Images
Mohamed Youssef, Oliver Bimber
An adequate fusion of the most significant salient information from multiple input channels is essential for many aerial imaging tasks. While multispectral recordings reveal featur…
Stereoscopic Depth Perception Through Foliage
Robert Kerschner, Rakesh John Amala Arokia Nathan, Rafal Mantiuk +1
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computati…