61 citations · 126 across the 12 of their papers we have counts for
15 papers
Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection
Melanie Wille, Dimity Miller, Tobias Fischer +1
Domain shift, where deviations between training and deployment data distributions degrade model performance, is a key challenge in underwater environments. Existing benchmarks test…
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
Aron Schmied, Tobias Fischer, Martin Danelljan +2
Dense 3D reconstruction and ego-motion estimation are key challenges in autonomous driving and robotics. Compared to the complex, multi-modal systems deployed today, multi-camera s…
OVTrack: Open-Vocabulary Multiple Object Tracking
Siyuan Li, Tobias Fischer, Lei Ke +3
The ability to recognize, localize and track dynamic objects in a scene is fundamental to many real-world applications, such as self-driving and robotic systems. Yet, traditional m…
Visual Place Recognition: A Tutorial
Stefan Schubert, Peer Neubert, Sourav Garg +2
Localization is an essential capability for mobile robots. A rapidly growing field of research in this area is Visual Place Recognition (VPR), which is the ability to recognize pre…
Image Labels Are All You Need for Coarse Seagrass Segmentation
Scarlett Raine, Ross Marchant, Brano Kusy +2
Seagrass meadows serve as critical carbon sinks, but estimating the amount of carbon they store requires knowledge of the seagrass species present. Underwater and surface vehicles…
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar +2
To track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle…