← Search

Fenghe Tang

2 accepted papers

2026

MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning

ICLR 2026poster

Self-supervised pre-training has emerged as a critical paradigm for learning transferable representations from unlabeled medical volumetric data. Masked autoencoder based methods have garnered significant attention, yet their application to volumetric medical image faces fundamental limitations from…

Cited by 0SourcecodeScholar
2025

AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP

CVPR 2025poster

Anomaly detection (AD) identifies outliers for applications like defect and lesion detection. While CLIP shows promise for zero-shot AD tasks due to its strong generalization capabilities, its inherent Anomaly-Unawareness leads to limited discrimination between normal and abnormal features. To addre…