Helen Frazer — accepted AI-conference papers

2024

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation

Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer +1

CVPR 2024poster

Audio-visual segmentation (AVS) is a challenging task that involves accurately segmenting sounding objects based on audio-visual cues. The effectiveness of audio-visual learning critically depends on achieving accurate cross-modal alignment between sound and visual objects. Successful audio-visual l…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗

2023

Learning Support and Trivial Prototypes for Interpretable Image Classification

Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy +2

ICCV 2023poster

Prototypical part network (ProtoPNet) methods have been designed to achieve interpretable classification by associating predictions with a set of training prototypes, which we refer to as trivial prototypes because they are trained to lie far from the classification boundary in the feature space. No…

Cited by 30 PDF ↗code ↗Scholar ↗