Xichen Xu — accepted AI-conference papers

2026

ESTABLISHING STOCHASTIC OBJECT MODELS FROM NOISY DATA VIA AMBIENT MEASUREMENT-INTEGRATED DIFFUSION

Xiaoning Lei, Jianwei Sun, Wenhao Cai, Xichen Xu

ICASSP 2026oral

Task-based measures of image quality (IQ) are critical for evaluating medical imaging systems, which must account for randomness including anatomical variability. Stochastic object models (SOMs) provide a statistical description of such variability, but conventional mathematical SOMs fail to capture…

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2025

FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis

Xichen Xu, Yanshu Wang, Jinbao Wang, XiaoNing Lei, Guoyang Xie, GUANNAN JIANG +1

NeurIPS 2025poster

Industrial anomaly segmentation relies heavily on pixel-level annotations, yet real-world anomalies are often scarce, diverse, and costly to label. Segmentation-oriented industrial anomaly synthesis (SIAS) has emerged as a promising alternative; however, existing methods struggle to balance sampling…

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