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Wenjuan Zhou

2 accepted papers

2026

DR$^2$Seg: Decomposed Two-Stage Rollouts for Efficient Reasoning Segmentation in Multimodal Large Language Models

ICML 2026poster

Reasoning segmentation is an emerging vision-language task that requires reasoning over intricate text queries to precisely segment objects. However, existing methods typically suffer from overthinking, generating verbose reasoning chains that interfere with object localization in multimodal large l…

Cited by 0SourceScholar
2025

Exploiting Foundation Models for Label-Efficient Few-Shot Learning via Feature Coupling: A Case Study of cardiac CT Segmentation

ICASSP 2025accepted

The scarcity of labeled data poses a significant challenge for deep learning-based medical image segmentation. To address this, this study introduces the novel Foundation Model-based Few-Shot Segmentation (FM-FSS) paradigm. FM-FSS capitalizes on the knowledge distilled from pre-trained foundation mo…

Cited by 0SourceScholar