- LIEDNet: A Lightweight Network for Low-light Enhancement and Deblurring. IEEE Transactions on Circuits and Systems for Video Technology, 2025 more… BibTeX Full text ( DOI )
- AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation. The Thirteenth International Conference on Learning Representations, 2025 more… BibTeX
- MambaSFLNet: A Mamba-Based Model for Low-Light Image Enhancement with Spatial and Frequency Features. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 more… BibTeX
- Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing. Proceedings of the AAAI Conference on Artificial Intelligence, 2025 more… BibTeX
- DepthCNE: Contrastive Neighbor Embedding in Self-Supervised Learning for Point Clouds. 2025 IEEE International Joint Conference on Neural Networks (IJCNN), 2025 more… BibTeX
- Modumer: Modulating Transformer for Image Restoration. IEEE Transactions on Neural Networks and Learning Systems, 2025 more… BibTeX Full text (mediaTUM)
- Dual-domain strip attention for image restoration. Neural Networks 171, 2024, 429-439 more… BibTeX Full text ( DOI )
- EENet: An effective and efficient network for single image dehazing. Pattern Recognition, 2024, 111074 more… BibTeX Full text ( DOI )
- Enhancing Local–Global Representation Learning for Image Restoration. IEEE Transactions on Industrial Informatics 20 (4), 2024, 6522-6530 more… BibTeX Full text ( DOI )
- Revitalizing Convolutional Network for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 1-16 more… BibTeX Full text ( DOI )
- A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook. IEEE Transactions on Intelligent Vehicles, 2024, 1-29 more… BibTeX Full text ( DOI )
- Omni-Kernel Network for Image Restoration. Proceedings of the AAAI Conference on Artificial Intelligence, 2024 more… BibTeX
- Omnidirectional Image Super-Resolution via Bi-Projection Fusion. Proceedings of the AAAI Conference on Artificial Intelligence, 2024 more… BibTeX
- RFFNet: Towards Robust and Flexible Fusion for Low-Light Image Denoising. ACM International Conference on Multimedia, 2024 more… BibTeX
- GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs. 2024 IEEE International Intelligent Transportation Systems Conference (ITSC), 2024 more… BibTeX Full text ( DOI )
- Hybrid frequency modulation network for image restoration. International Joint Conference on Artificial Intelligence, 2024 more… BibTeX
- Omni-Kernel Modulation for Universal Image Restoration. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 1-1 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
- Exploring the Potential of Channel Interactions for Image Restoration. Knowledge-Based Systems, 2023 more… BibTeX Full text ( DOI )
- Image Restoration via Frequency Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 more… BibTeX Full text ( DOI )
- PSNet: Towards Efficient Image Restoration with Self-Attention. IEEE Robotics and Automation Letters, 2023 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
- Focal Network for Image Restoration. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 more… BibTeX Full text (mediaTUM)
- Dual-domain attention for image deblurring. Proceedings of the AAAI Conference on Artificial Intelligence, 2023 more… BibTeX Full text (mediaTUM)
- Selective Frequency Network for Image Restoration. The Eleventh International Conference on Learning Representations, 2023 more… BibTeX Full text (mediaTUM)
- Strip Attention for Image Restoration. International Joint Conference on Artificial Intelligence, IJCAI, 2023 more… BibTeX Full text (mediaTUM)
- IRNeXt: Rethinking Convolutional Network Design for Image Restoration. International Conference on Machine Learning, 2023 more… BibTeX Full text (mediaTUM)
Yuning Cui
Technical University of Munich
Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
- Phone:
- Office hours: By appointment
- Room: 5607.03.059
- E-mail: yuning.cui(at)tum.de
Curriculum Vitae
I am a Ph.D. candidate under the supervision of Prof. Knoll since 2021.
I mainly focus on low-level vision tasks, such as image dehazing, desnowing, deblurring, etc.
Education background:
2012.09-2016.06 | Central South University, Changsha, China | Bachelor |
2016.09-2018.12 | National University of Defense Technology, Changsha, China | Master |
2019.03-2021.07 | National University of Defense Technology, Changsha, China | PhD (Incomplete) |
2021.10-Present | Technical University of Munich |
Professional Activities
Conference Reviewer:
CVPR, ECCV, NeurIPS, ICLR, ICML, ICCV IJCAI, ACMMM, ECAI, ACCV, IROS, IJCNN
Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- International Journal of Computer Vision
- IEEE Transactions on Image Processing
- IEEE Transactions on Multimedia
- IEEE Transactions on Fuzzy Systems
- IEEE Transactions on Geoscience and Remote Sensing
- IEEE Transactions on Circuits and Systems for Video Technology
- IEEE Transactions on Computational Imaging
- IEEE Transactions on Industrial Informatics
- Pattern Recognition
- Information Fusion
- Neurocomputing
- Knowledge-Based Systems
Resources
Work | Code |
Focal network for image restoration (achieves efficient dual-domain learning) | Code |
Exploring the potential of channel interactions for image restoration (explores efficient channel interactions) | Code |
Revitalizing convolutional network for image restoration (achieves top performance with an efficient convolutional network) | Code |
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation (improves all-in-one tasks with frequency priors) | Code |
Omni-kernel modulation for universal image restoration (performs well on general-purpose and all-in-one tasks with strategic multi-scale learning) | Code |
Dual-domain strip attention for image restoration (implements an efficient strip attention) | Code |
Exploring the Potential of Pooling Techniques for Universal Image Restoration (performs well on general and all-in-one tasks primarily by primarily using pooling) | Code |
The provided links also include visual results and pre-trained models. | |
Datasets | |
GOPRO (deblurring) | Link |
RESIDE (dehazing) | Link |