1 citations · 1 across the 5 of their papers we have counts for
7 papers
Training-Free Stimulus Encoding for Retinal Implants via Sparse Projected Gradient Descent
Henning Konermann, Yuli Wu, Emil Mededovic +3
Retinal implants aim to restore functional vision despite photoreceptor degeneration, yet are fundamentally constrained by low resolution electrode arrays and patient-specific perc…
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…
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
Rüveyda Yilmaz, Zhu Chen, Yuli Wu +1
Cell microscopy data are abundant; however, corresponding segmentation annotations remain scarce. Moreover, variations in cell types, imaging devices, and staining techniques intro…
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
Zhu Chen, Ina Laube, Johannes Stegmaier
Zebrafish are widely used in biomedical research and developmental stages of their embryos often need to be synchronized for further analysis. We present an unsupervised approach t…
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…