IEEE

Transpointflow: Learning Scene Flow from Point Clouds with Transformer

Abstract: Scene flow estimation is the task of obtaining 3D motion from a dynamic scene. Due to the sparseness of point clouds, extracting features for a local group of points separately may result in ...
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

Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration

Abstract: Accurately estimating 3-D rigid body transformation is a critical step for correspondences-free point cloud registration method. However, recently proposed methods have faced challenges in ...
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 ...
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

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
IEEE

Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds

Abstract: 3D point clouds are widely used for robot perception and navigation. LiDAR sensors can provide large scale 3D point clouds (LS3DPC) with a certain level of accuracy in common environment.
GitHub

Android Studio Tutorials: Java Edition

Learn how to make simple apps in Android Studio. Android Studio Tutorials: Java Edition provides practical examples and complete source code to help you build your first Android application using ...
Yahoo! Sports

Learn curling at two intro sessions at Stevens Point Curling Club

PLOVER – The Stevens Point Curling Club will host two “Experience Curling” sessions this winter for those interested in trying out the sport. The sessions are open to participants of all ages and ...
IEEE

Efficient Sampling and Grouping Acceleration for Point Cloud Deep Learning via Single Coordinate Comparison

Abstract: With the focus on three-dimensional (3D) applications, the importance of applying deep learning to point clouds have been growing recently. It is known that mapping operations including ...