Jiaming Liu 刘家明
Postdoc @ Stanford, PhD @ WUSTL
- Palo Alto, CA
- Github
- Google Scholar
- ORCID
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New Paper Acceptance: Two papers were accepted to CVPR 2026: Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models and Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision.
New Paper Acceptance: “Merlin: A Computed Tomography Vision–Language Foundation Model and Dataset”. Extremely happy to have contributed to this major project, which presents the first vision foundation model for 3D CT imaging and is now accepted by Nature.
New Preprint: “Unified Semantic Bridge Model for Unpaired Image-to-Image Translation” We propose the Unified Semantic Bridge Model (USBM), a fully self-supervised framework that learns diffusion bridges from a shared semantic latent space to each domain, enabling geometry-aware translation without cross-domain supervision.
Postdoc: I am extremely happy to share that I will be joining AIMI @ Stanford as a postdoctoral researcher in 2024!