Yichen Bai — accepted AI-conference papers

2024

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection

Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang

CVPR 2024poster

Out-of-distribution (OOD) detection methods often exploit auxiliary outliers to train model identifying OOD samples especially discovering challenging outliers from auxiliary outliers dataset to improve OOD detection. However they may still face limitations in effectively distinguishing between the…

Cited by 25 Source ↗PDF ↗code ↗Scholar ↗

2023

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification

Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu

CVPR 2023poster

Classifying incomplete multi-view data is inevitable since arbitrary view missing widely exists in real-world applications. Although great progress has been achieved, existing incomplete multi-view methods are still difficult to obtain a trustworthy prediction due to the relatively high uncertainty…

Cited by 30 Source ↗PDF ↗Scholar ↗