2 DAILY CVPR Sunday [5B-4] TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model [6C-1] Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding [5-168] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos [Highlight] [6-370] ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning [6-250] Are Images Indistinguishable to Humans also Indistinguishable to Classifiers? Max’s picks of the day: Orals For today, Sunday 15 Max’s Picks Posters “My research centers on enhancing the trustworthiness of AI models in medicine, particularly as they are deployed in real-world clinical settings where they face domain shifts, such as variations in imaging devices or acquisition protocols. To address this, I focus on improving out-of-distribution detection and domain generalization, with the aim of strengthening the resilience, reliability, and robustness of medical AI systems across diverse environments.” Max Gutbrod recently started his PhD at the newly established doctoral center at OTH Regensburg, supervised by Christoph Palm. Max forgot to tell you that he's also presenting his poster today during the morning session 5 - OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of Distribution Detection [poster 465]
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