Min Xia — accepted AI-conference 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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2019

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo +1

CVPR 2019poster

Arbitrary attribute editing generally can be tackled by incorporating encoder-decoder and generative adversarial networks. However, the bottleneck layer in encoder-decoder usually gives rise to blurry and low quality editing result. And adding skip connections improves image quality at the cost of w…

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