Author

Jiyuan Wang

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#artificial intelligence May 2026

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

Concentrate and Concentrate (CaC) is a coarse-to-fine anomaly reward model based on Vision-Language Models that first conducts a global temporal scan to anchor anomalous time windows, then performs fine-grained spatial grounding within the localized interval, and finally derives robust judgments via structured spatiote...

Jiyuan Wang, Huan Ouyang, Jiu-Zhou Lin et al. · arXiv.org · 5 citations

Preprint Aug 2026

TextRefine: Improving Textual Fidelity, Spatial Placement, and Glyph Rendering for Text Editing in Product Posters

Extensive experiments on both insertion and replacement demonstrate that TextRefine consistently outperforms the evaluated image editing baselines in textual fidelity, placement reliability, and glyph quality while better preserving source-image content.

Hong-Lie Wang, Jia Sun, Zi-Jun Li et al. · 1 citation