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Zhi-Xun Su

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Preprint Sep 2026

Incentive Noise and Structural Prior Infusion for Multi-modal Object Re-Identification

This work proposes a novel framework centered on Positive-Incentive Noise and structured prompt modulation that harnesses task-aware {\pi}-noise, sampled from a distribution conditioned on both visual and text inputs, to perturb global tokens and enable semantics-guided cross-modal compensation.

Wei-Xiang Zhou, Yu-Hao Wang, Xing-Guo Xu et al. · 0 citations
#diffusion models Open access Sep 2026

RASR: Retinex-Guided Adaptive One-Step Diffusion for Low-Light Image Super-Resolution

RASR, a Retinex-guided adaptive one-step diffusion framework for low-light super-resolution, outperforms existing low-light and mainstream super-resolution methods in PSNR, SSIM, and LPIPS, with especially prominent gains in perceptual quality, and ablation studies validate the effectiveness of each key design.

Zi-Yu Yue, Jun-Ran Zhang, Zhi-Xun Su · 0 citations
Jul 2026

Multi-Modal Object Re-Identification with Dual Semantic Guidance and Global-Local Mutual Modulation

A robust multi-modal ReID framework with dual semantic guidance and global-local mutual modulation, which mainly consists of three key components, namely the Text-Semantic Injector (TSI), the Masked Global-Local Modulator (MGLM), and the Hierarchical MoE Fusion (HMF).

Wei-Xiang Zhou, Xing-Guo Xu, Yu-Hao Wang et al. · 0 citations

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