collaborators

5 papers

cs.CV2026

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting

Yuyuan Liu, Yuanhong Chen, Chong Wang +6

Segment Anything Model 2 (SAM2) exhibits strong generalisation for promptable segmentation in video clips; however, its integration with the audio modality remains underexplored. E…

cs.CV2025

Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation

Fengbei Liu, Chong Wang, Yuanhong Chen +2

Although noisy-label learning is often approached with discriminative methods for simplicity and speed, generative modeling offers a principled alternative by capturing the joint m…

cs.CV2025

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

Yuyuan Liu, Yu Tian, Chong Wang +4

3D medical image segmentation methods have been successful, but their dependence on large amounts of voxel-level annotated data is a disadvantage that needs to be addressed given t…

cs.CV2025

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition

Chong Wang, Yuanhong Chen, Fengbei Liu +4

Prototypical-part methods, e.g., ProtoPNet, enhance interpretability in image recognition by linking predictions to training prototypes, thereby offering intuitive insights into th…

cs.CV2025

Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

Chong Wang, Fengbei Liu, Yuanhong Chen +2

Recent advances in prototypical learning have shown remarkable potential to provide useful decision interpretations associating activation maps and predictions with class-specific…