23 citations · 48 across the 20 of their papers we have counts for
23 papers
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…
A Brief History of Fréchet Distances: From Curves and Probability Laws to FID
Yuli Wu
This note provides a chronological account of Fréchet distances, starting with Maurice Fréchet's 1906 doctoral thesis on distances in abstract sets and tracing the Fréchet distance…
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…
Evaluating Cross-Subject and Cross-Device Consistency in Visual Fixation Prediction
Yuli Wu, Henning Konermann, Emil Mededovic +2
Understanding cross-subject and cross-device consistency in visual fixation prediction is essential for advancing eye-tracking applications, including visual attention modeling and…
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…
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 assume…
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
Rüveyda Yilmaz, Kaan Keven, Yuli Wu +1
Automated cell segmentation in microscopy images is essential for biomedical research, yet conventional methods are labor-intensive and prone to error. While deep learning-based ap…
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…
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
Yuli Wu, Julian Wittmann, Peter Walter +1
Implantable retinal prostheses offer a promising solution to restore partial vision by circumventing damaged photoreceptor cells in the retina and directly stimulating the remainin…
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
Reza Azad, Moein Heidary, Kadir Yilmaz +5
Semantic image segmentation, the process of classifying each pixel in an image into a particular class, plays an important role in many visual understanding systems. As the predomi…
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Yuli Wu, Weidong He, Dennis Eschweiler +5
Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to syn…
Semi-supervised Instance Segmentation with a Learned Shape Prior
Long Chen, Weiwen Zhang, Yuli Wu +2
To date, most instance segmentation approaches are based on supervised learning that requires a considerable amount of annotated object contours as training ground truth. Here, we…
SortedAP: Rethinking evaluation metrics for instance segmentation
Long Chen, Yuli Wu, Johannes Stegmaier +1
Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy. However, other important properties,…
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
Yuli Wu, Ivan Karetic, Johannes Stegmaier +2
We propose a neural network-based framework to optimize the perceptions simulated by the in silico retinal implant model pulse2percept. The overall pipeline consists of a trainable…
Instance Segmentation of Dense and Overlapping Objects via Layering
Long Chen, Yuli Wu, Dorit Merhof
Instance segmentation aims to delineate each individual object of interest in an image. State-of-the-art approaches achieve this goal by either partitioning semantic segmentations…
Contextual Attention Network: Transformer Meets U-Net
Reza Azad, Moein Heidari, Yuli Wu +1
Currently, convolutional neural networks (CNN) (e.g., U-Net) have become the de facto standard and attained immense success in medical image segmentation. However, as a downside, C…
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
Yuli Wu, Peter Walter, Dorit Merhof
Fovea localization is one of the most popular tasks in ophthalmic medical image analysis, where the coordinates of the center point of the macula lutea, i.e. fovea centralis, shoul…
Object Detection Based Handwriting Localization
Yuli Wu, Yucheng Hu, Suting Miao
We present an object detection based approach to localize handwritten regions from documents, which initially aims to enhance the anonymization during the data transmission. The co…
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
Yuli Wu, Long Chen, Dorit Merhof
As a proposal-free approach, instance segmentation through pixel embedding learning and clustering is gaining more emphasis. Compared with bounding box refinement approaches, such…