7 citations · 7 across the 5 of their papers we have counts for
5 papers
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Xinxin Zhao, Jinpeng Ye, Bo Wei +8
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…
Innovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling
Xinxin Zhao, Jian Jiang, Yan Tian +5
Tooth image segmentation is a cornerstone of dental digitization. However, traditional image encoders relying on fixed-resolution feature maps often lead to discontinuous segmentat…
FDIO: Frequency Decomposed Inertial Odometry
Shanshan Zhang, Liqin Wu, Wenying Cao +2
Pedestrian inertial odometry (PIO) estimates autonomous pedestrian motion using only acceleration and angular velocity measurements collected by an inertial measurement unit (IMU),…
CKANIO: Learnable Chebyshev Polynomials for Inertial Odometry
Shanshan Zhang, Siyue Wang, Tianshui Wen +7
Inertial odometry (IO) relies exclusively on signals from an inertial measurement unit (IMU) for localization and offers a promising avenue for consumer grade positioning. However,…
TinyIO: Lightweight Reparameterized Inertial Odometry
Shanshan Zhang, Siyue Wang, Mengzi Chen +4
Inertial odometry (IO) is a widely used approach for localization on mobile devices; however, obtaining a lightweight IO model that also achieves high accuracy remains challenging.…