InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
Skeleton-based action recognition has made significant advancements recently, with models like InfoGCN showcasing remarkable accuracy. However, these…
Deep Ritz Method with Adaptive Quadrature for Linear Elasticity
In this paper, we study the deep Ritz method for solving the linear elasticity equation from a numerical analysis perspective. A modified Ritz…
AdamsFormer for Spatial Action Localization in the Future
Predicting future action locations is vital for applications like human-robot collaboration. While some computer vision tasks have made progress in…
ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use cases for Augmented Reality Applications
Prototyping use cases for Augmented Reality (AR) applications can be beneficial to elicit the functional requirements of the features early-on, to…
The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans
Domain users (DUs) with a knowledge base in specialized fields are frequently excluded from authoring virtual reality (VR)-based applications in…
Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality
Utilizing everyday objects as tangible proxies for Augmented Reality (AR) provides users with haptic feedback while interacting with virtual objects.…
Simplification of 3D CAD Model in Voxel Form for Mechanical Parts Using Generative Adversarial Networks
Most three-dimensional (3D) computer-aided design (CAD) models of mechanical parts， created during the design stage, have high shape complexity.…
