1 citations · 1 across the 4 of their papers we have counts for
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PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
Rüveyda Yilmaz, Yuli Wu, Johannes Stegmaier +1
Positron Emission Tomography (PET) image reconstruction is inherently challenged by Poisson noise and physical degradation factors, which are further exacerbated in limited-angle a…
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…
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
Yuli Wu, Fucheng Liu, Rüveyda Yilmaz +3
Fréchet Inception Distance (FID), computed with an ImageNet pretrained Inception-v3 network, is widely used as a state-of-the-art evaluation metric for generative models. It assum…
Visual Fixation-Based Retinal Prosthetic Simulation
Yuli Wu, Do Dinh Tan Nguyen, Henning Konermann +3
This study proposes a retinal prosthetic simulation framework driven by visual fixations, inspired by the saccade mechanism, and assesses performance improvements through end-to-en…
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…