6 papers
Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty
Haoran Hu, Xingce Wang
Probabilistic partial least squares (PPLS) is a central likelihood-based model for two-view learning when one needs both interpretable latent factors and calibrated uncertainty. Bu…
iPEAR: Iterative Pyramid Estimation with Attention and Residuals for Deformable Medical Image Registration
Heming Wu, Di Wang, Tai Ma +6
Existing pyramid registration networks may accumulate anatomical misalignments and lack an effective mechanism to dynamically determine the number of optimization iterations under…
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
Yaohui Fang, Xingce Wang
Existing learning-based point cloud upsampling methods often overlook the intrinsic data distribution charac?teristics of point clouds, leading to suboptimal results when handling…
Consistent Point Orientation for Manifold Surfaces via Boundary Integration
Weizhou Liu, Xingce Wang, Haichuan Zhao +4
This paper introduces a new approach for generating globally consistent normals for point clouds sampled from manifold surfaces. Given that the generalized winding number (GWN) fie…
Enhancing Sign Language Teaching: A Mixed Reality Approach for Immersive Learning and Multi-Dimensional Feedback
Hongli Wen, Yang Xu, Lin Li +3
Traditional sign language teaching methods face challenges such as limited feedback and diverse learning scenarios. Although 2D resources lack real-time feedback, classroom teachin…
Diffusing Winding Gradients (DWG): A Parallel and Scalable Method for 3D Reconstruction from Unoriented Point Clouds
Weizhou Liu, Jiaze Li, Xuhui Chen +6
This paper presents a new method, Diffusing Winding Gradients (DWG), for reconstructing watertight 3D surfaces from unoriented point clouds. Our method exploits the alignment betwe…