Curriculum Vitae
| Jul 2021 – today | Research Scientist, Chair of Imaging and Computer Vision, RWTH Aachen |
| Sep 2020 – Mar 2021 | Internship on differential privacy and document analysis at SAP SE |
| Oct 2018 – Mar 2021 | M. Sc. Electrical Engineering, Information Technology and Computer Engineering, RWTH Aachen |
| Oct 2015 – Sep 2018 | B. Sc. Electrical Engineering, Information Technology and Computer Engineering, RWTH Aachen |
Research Field
Computer Vision in Retinal Interfaces via Deep Learning
Publications
2025
Friedhelm Hamann, Emil Mededovic, Fabian Gülhan, Yuli Wu, Johannes Stegmaier, Jing He, Yiqing Wang, Kexin Zhang, Lingling Li, Licheng Jiao, Mengru Ma, Honxiang Huang, Yuhao Yan, Hongwei Ren, Xiaopeng Lin, Yulong Huang, Bojun Cheng, Se Hyun Lee, Gyu Sung Ham, Kanghan Oh, Gi Hyun Lim, Boxuan Yang, Bowen Du and Guillermo Gallego
SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops
SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops
2025
Rüveyda Yilmaz, Zhu Chen, Yuli Wu and Johannes Stegmaier
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
In: International Conference on Medical Image Computing and Computer-Assisted Intervention
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
In: International Conference on Medical Image Computing and Computer-Assisted Intervention
2025
Yuli Wu, Henning Konermann, Emil Mededovic, Peter Walter and Johannes Stegmaier
Dataset for Cross-Device and Cross-Subject Consistency Evaluation in Visual Fixation Prediction
In: IEEE Dataport
Dataset for Cross-Device and Cross-Subject Consistency Evaluation in Visual Fixation Prediction
In: IEEE Dataport
Emil Mededovic, Valdy Laurentius, Yuli Wu, Marcin Kopaczka, Zhu Chen, Mareike Schulz, René Tolba and Johannes Stegmaier
No Free Lunch in Annotation either: An objective evaluation of Foundation models for Streamlining Annotation in Animal Tracking
In: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
No Free Lunch in Annotation either: An objective evaluation of Foundation models for Streamlining Annotation in Animal Tracking
In: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
2025
Ruveyda Yilmaz, Kaan Keven, Yuli Wu and Johannes Stegmaier
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
In: 2025 IEEE International Symposium on Biomedical Imaging (ISBI)
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
In: 2025 IEEE International Symposium on Biomedical Imaging (ISBI)
2024
Reza Azad, Moein Heidary, Kadir Ylmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink and Dorit Merhof
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
In: arXiv preprint arXiv:2312.05391
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
In: arXiv preprint arXiv:2312.05391
2023
Long Chen, Yuli Wu, Johannes Stegmaier and Dorit Merhof
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation
In: ICCV Workshop on BioImage Computing
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation
In: ICCV Workshop on BioImage Computing
2023
Yuli Wu, Laura Koch, Peter Walter and Dorit Merhof
Abstract: Convolutional Neural Network-based Inverse Encoder for Optimization of Retinal Prosthetic Stimulation
In: Artificial Vision – The International Symposium on Visual Prosthetics
Abstract: Convolutional Neural Network-based Inverse Encoder for Optimization of Retinal Prosthetic Stimulation
In: Artificial Vision – The International Symposium on Visual Prosthetics
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2021 | Yuli Wu, Yucheng Hu, Suting Miao Object Detection Based Handwriting Localization In: ICDAR Workshop on Industrial Applications of Document Analysis and Recognition |
Teaching
Lab Course: Laboratory Machine Learning (Master Level) since summer semester 2021
Supervised Theses and Student Assistants:
- Osmanalp Ömeroğlu: Normative prior-guided structural-functional transition in glaucoma assessment (HiWi)
- Fucheng Liu: Evaluating Fundus Photography Synthesis with Modality-specific Fréchet Inception Distance (Master Thesis)
- Hao-Yu Lee: Collecting visual image and eye tracking data with ARIA glasses for retinal prosthetic simulation (HiWi)
- Yudai Yamauchi: Retinal optical coherence tomography synthesis with normalizing flow-based generative models (Master Thesis of the double-degree program with Keio University)
- Do Dinh Tan Nguyen: Vision Transformer-based retinal prosthetic simulation with predicted visual fixations (Master Thesis)
- Kaan Keven: Registration and 3D reconstruction of 2D histological slices of eye balls (HiWi)
- Weidong He: OCT data generation with denoising diffusion probabilistic models for layer segmentation (Mini Thesis of the double-degree program with Tsinghua University, co-supervised with WZL)
- Yunmai Yao: Visual field prediction with optical coherence tomography images via retinal layer segmentation (Bachelor Thesis)
- Julian Wittmann: Optimization of the stimulation pattern for retinal implants using invertible neural networks (Master Thesis)
- David Dziuba: Embedding-based pixel-wise contrastive learning for panoptic segmentation using convolutional neural networks (Master Thesis)
- Ivan Karetic: Optimization of retinal prosthetic stimulation using deep learning techniques (HiWi)
- Laura Koch: Model-aware optimization of retinal prosthetic stimulation on static grayscale images using pulse2percept (Bachelor Thesis, co-supervised with Chair of Software Engineering)
- Dahan Wang: Layer segmentation and glaucoma detection on optical coherence tomography images using deep learning (Master Thesis)
- Zidong Liu: Circular sectoral anchors for leaf segmentation with Mask R-CNN (Master Thesis)
- Jona Schulz: Supervised cross-image pixelwise contrastive learning for semantic segmentation on Cityscapes (Bachelor Thesis); OCT layer segmentation with standard Transformers (HiWi)
- Qianru Cai: Visual explanation of eye disease classification on fundus images using generative adversarial networks (Master Thesis)
- Chendi Zhu: Improving semantic segmentation with contrastive learning on Cityscapes through neural architecture search (Master Thesis)
- Emre Özcanoğlu: Loss balancing for multitask learning on fundus images with shared representations (Master Thesis)
- Niklas Demel: Fovea localization on fundus images including prior knowledge about the location of the optic disc using deep learning (Bachelor Thesis)
- Niels Etschenberg: Questionnaires with visually impaired subjects (HiWi, collaborated with Department of Ophthalmology)