Institute
Yuli Wu
Curriculum Vitae
| Sep 2026 – heute | Gruppenleiter – Physical AI, Chair of Imaging and Computer Vision, RWTH Aachen University |
| Feb 2026 – May 2026 | Visiting Scholar, School of Biomedical Engineering, University of Sydney |
| Dec 2025 – Aug 2026 | PostDoc, Group Machine Learning for Medical Data, HHU Düsseldorf |
| Jul 2021 – Dec 2025 | 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 & Computer Engineering, RWTH Aachen |
| Oct 2015 – Sep 2018 | B.Sc. Electrical Engineering, Information Technology & Computer Engineering, RWTH Aachen |
Research Field
Physical AI and Robot Learning: https://pai.rwth-aachen.de/
Publications
Training-Free Stimulus Encoding for Retinal Implants via Sparse Projected Gradient Descent
In: 2026 IEEE International Conference on Image Processing (ICIP), S. 1--6, IEEE
- 2026
PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
In: Medical Image Computing and Computer Assisted Intervention (MICCAI), S. 381--391
Anatomical effects of ablation of the anterior retina in small animal eyes
In: BMC Ophthalmology 26 (1), S. 184
- 2026
Advancing Retina Implant Concepts: Assessing the Design and Validation of Origami-Type Epiretinal Implants by Computational Modeling
In: physica status solidi (a) 223 (14), S. e202600002
- 2026
SelfMOTR: Revisiting MOTR with Self-Generating Detection Priors
In: European Conference on Computer Vision (ECCV), S. 213--231
- 2025
Evaluation of OCT Image Synthesis for Choroidal and Retinal Layer Segmentation Using Denoising Diffusion Probabilistic Models
In: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING, S. 340--347
- 2025
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, S. 67--77
- 2025
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
In: 2025 IEEE International Symposium on Biomedical Imaging (ISBI)
- 2025
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, S. 4675--4683
Dataset for Cross-Device and Cross-Subject Consistency Evaluation in Visual Fixation Prediction
In: IEEE Dataport, IEEE Dataport
- 2025
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
In: arXiv preprint arXiv:2312.05391
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation
In: ICCV Workshop on BioImage Computing
Convolutional Neural Network-based Inverse Encoder for Optimization of Retinal Prosthetic Stimulation
In: Artificial Vision – The International Symposium on Visual Prosthetics 68 (S1), S. 235
Academics
2021–2025
Lab Course: Laboratory Machine Learning (Master's level) SS 21 — WS 24/25
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)