Jingxing Guo — accepted AI-conference papers

2026

Semi-supervised Echocardiography Video Segmentation via Anchor Semantic Awareness and Continuous Pseudo-label Reforging

Yunpeng Fang, Yimu Sun, Jingxing Guo, Huisi Wu, Jing Qin

CVPR 2026

Automatic and accurate echocardiography video segmentation is essential for efficient and repeatable measurements of key clinical functional indicators for the diagnosis of cardiovascular diseases. However, it is an extremely challenging task to obtain high-quality segmentation results throughout th

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2025

GDKVM: Echocardiography Video Segmentation via Spatiotemporal Key-Value Memory with Gated Delta Rule

Rui Wang, Yimu Sun, Jingxing Guo, Huisi Wu, Jing Qin

ICCV 2025poster

Accurate segmentation of cardiac chambers in echocardiography sequences is crucial for the quantitative analysis of cardiac function, aiding in clinical diagnosis and treatment. The imaging noise, artifacts, and the deformation and motion of the heart pose challenges to segmentation algorithms. Whil…

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