Author

Tianrui Liu

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Preprint Aug 2026

MODAL: Multi-Modal Object Re-ID via Model-Driven Sparse Decoupling and Text-Image Differential Filtering

MODAL is a novel multi-modal object re-identification framework, grounded in coupled sparse coding theory and differential suppression principles, that achieves state-of-the-art performance with superior transparency.

Cheng Huang, Jun-Jie Huang, Long Lan et al. · 0 citations

Preprint Aug 2026

IDATA: Scalable Invertible Diffusion for Unrestricted Adversarial Transfer Attack

Extensive experiments demonstrate that IDATA consistently outperforms state-of-the-art baselines in attack success rate, memory efficiency, and visual imperceptibility, suggesting that IDATA is a promising tool for black-box robustness evaluation of deep visual models.

Yi Pan, Jun-Jie Huang, Tianrui Liu et al. · 0 citations