Morteza Ghahremani Ph.D.
AI/ML Scientist at Munich Center for Machine Learning (MCML) & Technical University of Munich (TUM)
![](https://mogvision.github.io/about/mori.png)
Welcome to the innovative universe of Mori! As a member of the AI-Med group at TUM, Mori is at the cutting edge of AI research, constantly pushing the boundaries of what's possible in the intersection of computer vision and medical imaging. Mori's research interests are as diverse as they are innovative, including integrating and analyzing multimodal data to uncover deeper insights, delving into the text-to-image/video via Diffusion Models, enhancing the accuracy and efficiency of organ/object detection in 2D/3D data, revolutionizing deformable image registration of MRI, and improving the clarity and detail of images with denoising and superresolution.
When Mori isn't buried in research papers or tinkering with algorithms, you'll find a playful spirit who loves to explore the intersection of AI and creativity, whether it's generating quirky AI-generated art, imagining whimsical future tech, or just having a good laugh at the latest AI memes.
News
Jun, 2024 | StablePose has been released. |
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Feb, 2024 | HViT accepted at CVPR 2024. |
Sep, 2023 | RegBN accepted at NeurIPS 2023. |
Recent publications
(For full list, please see publications or Google Scholar profile.)-
H-ViT: A Hierarchical Vision Transformer for Deformable Image RegistrationIEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024RegBN: Batch Normalization of Multimodal Data with RegularizationAdvances in Neural Information Processing Systems (NeurIPS) 2023Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image GenerationOrgan-DETR: Organ Detection via TransformersBox It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion ModelsNo-Clean-Reference Image Super-Resolution: Application to Electron MicroscopyIEEE Transactions on Computational Imaging (IEEE-TCI) 2024