3 papers
cs.LG2026
A Semi-Supervised Pipeline for Generalized Behavior Discovery from Animal-Borne Motion Time Series
Fatemeh Karimi Nejadasl, Judy Shamoun-Baranes, Eldar Rakhimberdiev
Learning behavioral taxonomies from animal-borne sensors is challenging because labels are scarce, classes are highly imbalanced, and behaviors may be absent from the annotated set…
cs.CV2025
A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data
Chaim Chai Elchik, Fatemeh Karimi Nejadasl, Seyed Sahand Mohammadi Ziabari +1
Multi-object tracking (MOT) in computer vision has made significant advancements, yet tracking small fish in underwater environments presents unique challenges due to complex 3D mo…
cs.CV2025
3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation
Weijie Wei, Osman Ãlger, Fatemeh Karimi Nejadasl +2
Open-Vocabulary Segmentation (OVS) methods offer promising capabilities in detecting unseen object categories, but the category must be known and needs to be provided by a human, e…