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Runmin Cong

3 papers indexed

arxivcs.CV2026-07-06

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing

Wei Sun, Weixia Zhang, Linhan Cao, Mingkai Lu, Xiongkuo Min, Xiaoping Zhang, et al.

This paper presents the IEEE International Conference on Multimedia and Expo (ICME) 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing. The challenge is motivated by two key limitations of existing industrial…

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arxivcs.CV2026-07-04

IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance

Gongyang Li, Zhen Bai, Runmin Cong, Dan Zeng, Weisi Lin, Xiao-Ping Zhang

Existing Salient Object Detection in Optical Remote Sensing Image (ORSI-SOD) methods mainly adopt the static inference strategy, which uses fixed trained model parameters for saliency inference in the testing phase. This means that even if the generated saliency map has errors, i…

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arxivcs.CV2026-07-02

Rethinking Conditional Generation for Underwater Salient Object Detection

Hua Li, Yongjie Weng, Yutong Li, Zhiyuan Li, Runmin Cong, Sam Kwong

Salient Object Detection in underwater images remains challenging due to low contrast, uneven illumination, and color distortion caused by scattering and absorption effects, which limit the effectiveness of conventional SOD methods in underwater environments. To address these cha…

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