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20232026
most citedCombining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization

1 citations · 3 across the 20 of their papers we have counts for

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cs.CV2025

Silhouette-to-Contour Registration: Aligning Intraoral Scan Models with Cephalometric Radiographs

Yiyi Miao, Taoyu Wu, Ji Jiang +6

Reliable 3D-2D alignment between intraoral scan (IOS) models and lateral cephalometric radiographs is critical for orthodontic diagnosis, yet conventional intensity-driven registra…

cs.CV2025

ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding

Bohan Zhang, Yiyi Miao, Taoyu Wu +6

A structured understanding of intraoral 3D scans is essential for digital orthodontics. However, existing deep-learning approaches rely heavily on modality-specific training, large…

cs.CV2025

Dental3R: Geometry-Aware Pairing for Intraoral 3D Reconstruction from Sparse-View Photographs

Yiyi Miao, Taoyu Wu, Tong Chen +6

Intraoral 3D reconstruction is fundamental to digital orthodontics, yet conventional methods like intraoral scanning are inaccessible for remote tele-orthodontics, which typically…

cs.CV2025

DentalSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs

Yiyi Miao, Taoyu Wu, Tong Chen +6

In orthodontic treatment, particularly within telemedicine contexts, observing patients' dental occlusion from multiple viewpoints facilitates timely clinical decision-making. Rece…

cs.CV2025

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation

Yiheng Zhong, Zihong Luo, Chengzhi Liu +7

Segment Anything Model (SAM) demonstrates powerful zero-shot capabilities; however, its accuracy and robustness significantly decrease when applied to medical image segmentation. E…