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Nikolay Burlutskiy

2 accepted papers

2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

ACL 2025finding

Medical Vision-Language Pre-training (MedVLP) has made significant progress in enabling zero-shot tasks for medical image understanding. However, training MedVLP models typically requires large-scale datasets with paired, high-quality image-text data, which are scarce in the medical domain. Recent a…

2025

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

ICML 2025poster

Open-set image segmentation poses a significant challenge because existing methods often demand extensive training or fine-tuning and generally struggle to segment unified objects consistently across diverse text reference expressions. Motivated by this, we propose Segment Anyword, a novel training-…

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