Bo Qu — accepted AI-conference papers

2026

ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding

Shuo Cao, Nan Ma, Jiayang Li, Xiaohui Li, Lihao Shao, Kaiwen Zhu +9

CVPR 2026

The rapid advancement of educational applications, artistic creation, and AI-generated content (AIGC) technologies has substantially increased practical requirements for comprehensive Image Aesthetics Assessment (IAA), particularly demanding methods capable of delivering both quantitative scoring an

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2025

EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration

Haokai Zhu, Bo Qu, Si-Yuan Cao, Runmin Zhang, Shujie Chen, Bailin Yang +1

ICCV 2025poster

Previous deep image registration methods that employ single homography, multi-grid homography, or thin-plate spline often struggle with real scenes containing depth disparities due to their inherent limitations. To address this, we propose an Exponential-Decay Free-Form Deformation Network (EDFFDNet…

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