6 papers · 1 filter
Temporal Preservation over Processing: Diagnosing and Designing Spatiotemporal Single-Stage Video Detectors
Karam Tomotaki-Dawoud, Anna Hilsmann, Peter Eisert +1
Single-stage video object detectors are increasingly deployed in time-critical applications, yet it remains unclear whether these models genuinely reason over temporal context or m…
Non-invasive Growth Monitoring of Small Freshwater Fish in Home Aquariums via Stereo Vision
Clemens Seibold, Anna Hilsmann, Peter Eisert
Monitoring fish growth behavior provides relevant information about fish health in aquaculture and home aquariums. Yet, monitoring fish sizes poses different challenges, as fish ar…
Video-based Locomotion Analysis for Fish Health Monitoring
Timon Palm, Clemens Seibold, Anna Hilsmann +1
Monitoring the health conditions of fish is essential, as it enables the early detection of disease, safeguards animal welfare, and contributes to sustainable aquaculture practices…
R3GW: Relightable 3D Gaussians for Outdoor Scenes in the Wild
Margherita Lea Corona, Wieland Morgenstern, Peter Eisert +1
3D Gaussian Splatting (3DGS) has established itself as a leading technique for 3D reconstruction and novel view synthesis of static scenes, achieving outstanding rendering quality…
Phys-3D: Physics-Constrained Real-Time Crowd Tracking and Counting on Railway Platforms
Bin Zeng, Johannes Künzel, Anna Hilsmann +1
Accurate, real-time crowd counting on railway platforms is essential for safety and capacity management. We propose to use a single camera mounted in a train, scanning the platform…
AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards
Laura-Sophia von Hirschhausen, Jannes S. Magnusson, Mykyta Kovalenko +6
Deep learning has transformed computer vision for precision agriculture, yet apple orchard monitoring remains limited by dataset constraints. The lack of diverse, realistic dataset…