IEEE

Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery

Abstract: Point cloud registration aligns 3D point clouds using spatial transformations. It is an important task in computer vision, with applications in areas such as augmented reality (AR) and ...
IEEE

Learning Robust Point-to-Point Motions Adversarially: A Stochastic Differential Equation Approach

Abstract: This letter proposes a robust stochastic differential equation approach for learning point-to-point motions in an adversarial way. The proposed stochastic dynamical model combines the ...
IEEE

LLM-Guided Cross-Modal Point Cloud Quality Assessment: A Graph Learning Approach

Abstract: This paper addresses the critical need for accurate and reliable point cloud quality assessment (PCQA) in various applications, such as autonomous driving, robotics, virtual reality, and 3D ...
IEEE

Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods

Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose significant threats to networked systems, causing disruptions that can lead to substantial financial ...
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

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 ...
lokmattimes

"If we can learn from a country, I would say India, it the point of reference...": Costa Rica Minister on AI Summit

New Delhi [India], February 20 : Calling Prime Minister Narendra Modi's vision of ethical, inclusive Artificial Intelligence (AI) governance ... "If we can learn from a country, I would say India, it ...
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 ...