3 papers
cs.CV2026
SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation
Zixuan Tang, Shen Zhao
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…