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Zhibin Wan

2 accepted papers

2025

Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation

IJCAI 2025

This paper aims at generating anomalous images and their segmentation labels to address the lack of real-world anomaly samples and privacy issues. Departing from conventional approaches that use masks solely to guide the generation of anomaly images, we propose a dual-branch training strategy for th

2021

Multi-View Information-Bottleneck Representation Learning

AAAI 2021technical

In real-world applications, clustering or classification can usually be improved by fusing information from different views. Therefore, unsupervised representation learning on multi-view data becomes a compelling topic in machine learning. In this paper, we propose a novel and flexible unsupervised…