5 papers · 1 filter
SelfMOTR: Revisiting MOTR with Self-Generating Detection Priors
Fabian Gülhan, Emil Mededovic, Yuli Wu +1
End-to-end transformer architectures have driven significant progress in multi-object tracking by unifying detection and association into a single, heuristic-free framework. Despit…
SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
Friedhelm Hamann, Emil Mededovic, Fabian Gülhan +21
We present an overview of the Spatio-temporal Instance Segmentation (SIS) challenge held in conjunction with the CVPR 2025 Event-based Vision Workshop. The task is to predict accur…
Eye on the Target: Eye Tracking Meets Rodent Tracking
Emil Mededovic, Yuli Wu, Henning Konermann +4
Analyzing animal behavior from video recordings is crucial for scientific research, yet manual annotation remains labor-intensive and prone to subjectivity. Efficient segmentation…
No Free Lunch in Annotation either: An objective evaluation of foundation models for streamlining annotation in animal tracking
Emil Mededovic, Valdy Laurentius, Yuli Wu +5
We analyze the capabilities of foundation models addressing the tedious task of generating annotations for animal tracking. Annotating a large amount of data is vital and can be a…
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data
Hendrik Laux, Emil Mededovic, Ahmed Hallawa +3
This paper proposes a novel, resource-efficient approach to Visual Speech Recognition (VSR) leveraging speech representations produced by any trained Automatic Speech Recognition (…