38 citations · 54 across the 8 of their papers we have counts for
8 papers
TrAction: Action Recognition with Sparse Trajectories
Jan F. Meier, Felix B. Mueller, Alexander Ecker +1
Modern action recognition models operate on memory- and compute-intensive dense RGB video volumes and frequently exploit appearance and background shortcuts, for example, predictin…
Zero-Shot Multi-Animal Tracking in the Wild
Jan Frederik Meier, Timo Lüddecke
Multi-animal tracking is crucial for understanding animal ecology and behavior, yet remains challenging due to variations in habitat, motion patterns, and species appearance. Tradi…
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg, Timo Lüddecke, Jonathan Henrich +14
Advances in computer vision as well as increasingly widespread video-based behavioral monitoring have great potential for transforming how we study animal cognition and behavior. H…
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
Jonathan Roberts, Timo Lüddecke, Rehan Sheikh +2
Multimodal large language models (MLLMs) have shown remarkable capabilities across a broad range of tasks but their knowledge and abilities in the geographic and geospatial domains…
Image Segmentation Using Text and Image Prompts
Timo Lüddecke, Alexander S. Ecker
Image segmentation is usually addressed by training a model for a fixed set of object classes. Incorporating additional classes or more complex queries later is expensive as it req…
One-shot path planning for multi-agent systems using fully convolutional neural network
Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke +2
Path planning plays a crucial role in robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed.…