209 citations · 712 across the 26 of their papers we have counts for
26 papers
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
Fatemeh Ziaeetabar, Florentin Wörgötter
Foundation models have ushered in a new era for multimodal video understanding by enabling the extraction of rich spatiotemporal and semantic representations. In this work, we intr…
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulvicius, Dajie Zhang, Luise Poustka +8
To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments…
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…
Multi Sentence Description of Complex Manipulation Action Videos
Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi +2
Automatic video description requires the generation of natural language statements about the actions, events, and objects in the video. An important human trait, when we describe a…
A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos
Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi +2
Nuanced understanding and the generation of detailed descriptive content for (bimanual) manipulation actions in videos is important for disciplines such as robotics, human-computer…
Comparison of Motion Encoding Frameworks on Human Manipulation Actions
Lennart Jahn, Florentin Wörgötter, Tomas Kulvicius
Movement generation, and especially generalisation to unseen situations, plays an important role in robotics. Different types of movement generation methods exist such as spline ba…