IEEE

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Abstract: Surface reconstruction from point clouds is vital for 3D computer vision. State-of-the-art methods leverage large datasets to first learn local context priors that are represented as neural ...
IEEE

Pseudo Label Learning for Partial Point Cloud Registration

Abstract: Partial point cloud registration plays a crucial role in computer vision and has widespread applications in 3D map construction, pose estimation, and high-precision localization. However, ...
IEEE

An Implementation of Java Programming Learning Assistant System in University Course

Abstract: Nowadays, Java programming is used in a variety of application systems as a highly portable object-oriented programming language. To assist its self-studies by novice students, we have ...
IEEE

Analysis of Online Learning Behavior in Java Programming Design Courses using a Hybrid Machine Learning Approach

Abstract: With the increasing integration of digital platforms in computer science education, understanding student behavior in online Java programming design courses has become essential for ...
IEEE

TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds

Abstract: With the rapid expansion of global railway networks, the demand for efficient railway operation and maintenance has grown significantly. This shift has underscored the need for automated and ...
IEEE

Compact Representation and Reliable Classification Learning for Point-Level Weakly-Supervised Action Localization

Abstract: Point-level weakly-supervised temporal action localization (P-WSTAL) aims to localize temporal extents of action instances and identify the corresponding categories with only a single point ...
IEEE

Signal as Point: Deep Learning Signal Detector on Time Domain

Abstract: Precise signal detection on time domain is a vital task in the information processing of modern wireless systems, but challenges persist in accuracy. Conventional time-domain detection with ...
NewsChannel 34

Whitney Point students learn about potential career opportunities

WHITNEY POINT, N.Y. (WIVT/WBGH) – An initiative at Whitney Point High School that introduces students to potential career paths focused on utilizing their creativity recently. Once a month Whitney ...
IEEE

Integrating 3-D Deep Learning for Hand Point Cloud Segmentation to Enhance Biosensor-Based Human–Computer Interaction

Abstract: Against the dual backdrop of normalized pandemic prevention and control measures and the intensification of population aging, the demand for noncontact hand function intelligent ...
IEEE

Learning-Based Sampling Method for Point Cloud Segmentation

Abstract: Light detection and ranging (LiDAR) has become one of the most important sensors in 3-D perception. With the advancement of sensor technology, the point cloud data generated by LiDAR have ...
IEEE

NEUF: Learning Point Cloud Quality by Non-Euclidean Fast Filtering

Abstract: This paper addresses the problem of no reference visual quality assessment in point clouds, useful for extended reality communication service such as remote surgery and education. Accurate, ...