3 papers
cs.CV2026
SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation
Zixuan Tang, Zequan Yao, Shen Zhao +1
Large segmentation foundation models such as the Segment Anything Model (SAM) have reshaped promptable segmentation in natural images, and recent efforts have extended these models…
cs.AI2026
T-DuMpRa: Teacher-guided Dual-path Multi-prototype Retrieval Augmented framework for fine-grained medical image classification
Zixuan Tang, Shen Zhao
Fine-grained medical image classification is challenged by subtle inter-class variations and visually ambiguous cases, where confidence estimates often exhibit uncertainty rather t…
cs.CV2025
A Modality-Tailored Graph Modeling Framework for Urban Region Representation via Contrastive Learning
Yaya Zhao, Kaiqi Zhao, Zixuan Tang +3
Graph-based models have emerged as a powerful paradigm for modeling multimodal urban data and learning region representations for various downstream tasks. However, existing approa…