ICCV

FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems

FALQON-MST: 一种用于视觉系统图优化的全量子框架

Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, João P. Papa, Kelton A. P. da Costa

AI总结 本文提出一种全量子管道计算图的最小生成树，采用反馈量子优化方法FALQON，通过构造哈密顿量形式和不同FALQON策略比较，展示多驱动配置和时间缩放在提升地面态保真度中的作用。

Comments 8 pages. Accepted for publication at the 21st International Conference on Computer Vision Theory and Applications (VISAPP 2026), Marbella, Spain

Journal ref Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 419-426, 2026

End-to-End Optimization of Polarimetric Measurement and Material Classifier

极化测量与材料分类的端到端优化

Ryota Maeda, Naoki Arikawa, Yutaka No, Shinsaku Hiura

机构 * Graduate School of Engineering, University of Hyogo（大阪大学工学研究院） 纠错

AI总结 本文提出端到端优化框架，联合学习材料分类器并确定极化元件的最佳旋转角度配置，以提高极化测量下的材料分类精度。

Comments Presented at VISAPP 2026 (21st International Conference on Computer Vision Theory and Applications)