Guanting Guo

2 accepted papers

2026

Generalizable Co-Salient Object Detection via Mixed Content-Style Modulation

Guanting Guo, Shenglong Hu, Kaihua Zhang, Guangcan Liu, Min Xia

CVPR 2026

This paper presents a generalizable CoSOD framework via mixed content-style modulation, termed CoMCS, to enhance the robustness of the model to unseen domains. The CoMCS, consisting of a mixed content modulator (MCM), a mixed style modulator (MSM), and a collaborative semantic contrast module (SCM),

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2025

Learning Joint Appearance and Shape Co-Representations for Co-Saliency Detection

Guanting Guo, Shenglong Hu, Huihui Song, Kaihua Zhang

ICASSP 2025accepted

Existing leading Co-saliency Detection (CoD) framework aims to segment the co-salient objects by learning the consensus visual representation of the foreground objects. However, despite different categories, some distractors may have similar appearance to the co-salient objects, such as Apples vs. B…

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