IEEE Computer Graphics and Applications最新文献_第2页

2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multi-Facet Features of Hydrothermal Plumes in Sonar Images. 2024年IEEE科学可视化竞赛冠军：PlumeViz：声纳图像中热液羽流多面特征的交互式探索。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-11 DOI: 10.1109/MCG.2025.3550365

Yiming Shao, Chengming Liu, Zhiyuan Meng, Shufan Qian, Peng Jiang, Yunhai Wang, Qiong Zeng

引用次数: 0

Design and Implementation of the Transparent, Interpretable, and Multimodal (TIM) AR Personal Assistant. 透明、可解释和多模式（TIM） AR个人助理的设计与实现。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-10 DOI: 10.1109/MCG.2025.3549696

Erin McGowan, Joao Rulff, Sonia Castelo, Guande Wu, Shaoyu Chen, Roque Lopez, Bea Steers, Iran R Roman, Fabio F Dias, Jing Qian, Parikshit Solunke, Michael Middleton, Ryan McKendrick, Claudio T Silva

{"title":"Design and Implementation of the Transparent, Interpretable, and Multimodal (TIM) AR Personal Assistant.","authors":"Erin McGowan, Joao Rulff, Sonia Castelo, Guande Wu, Shaoyu Chen, Roque Lopez, Bea Steers, Iran R Roman, Fabio F Dias, Jing Qian, Parikshit Solunke, Michael Middleton, Ryan McKendrick, Claudio T Silva","doi":"10.1109/MCG.2025.3549696","DOIUrl":"https://doi.org/10.1109/MCG.2025.3549696","url":null,"abstract":"The concept of an AI assistant for task guidance is rapidly shifting from a science fiction staple to an impending reality. Such a system is inherently complex, requiring models for perceptual grounding, attention, and reasoning, an intuitive interface that adapts to the performer's needs, and the orchestration of data streams from many sensors. Moreover, all data acquired by the system must be readily available for post-hoc analysis to enable developers to understand performer behavior and quickly detect failures. We introduce TIM, the first end-to-end AI-enabled task guidance system in augmented reality which is capable of detecting both the user and scene as well as providing adaptable, just-in-time feedback. We discuss the system challenges and propose design solutions. We also demonstrate how TIM adapts to domain applications with varying needs, highlighting how the system components can be customized for each scenario.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143598482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Next Generation XR Systems-Large Language Models Meet Augmented and Virtual Reality. 下一代XR系统-大型语言模型满足增强和虚拟现实。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-06 DOI: 10.1109/MCG.2025.3548554

Muhamamd Zeshan Afzal, Sk Aziz Ali, Didier Stricker, Peter Eisert, Anna Hilsmann, Daniel Perez-Marcos, Marco Bianchi, Sonia Crottaz-Herbette, Roberto De Ioris, Eleni Mangina, Mirco Sanguineti, Ander Salaberria, Oier Lopez de Lacalle, Aitor Garcia-Pablos, Montse Cuadros

{"title":"Next Generation XR Systems-Large Language Models Meet Augmented and Virtual Reality.","authors":"Muhamamd Zeshan Afzal, Sk Aziz Ali, Didier Stricker, Peter Eisert, Anna Hilsmann, Daniel Perez-Marcos, Marco Bianchi, Sonia Crottaz-Herbette, Roberto De Ioris, Eleni Mangina, Mirco Sanguineti, Ander Salaberria, Oier Lopez de Lacalle, Aitor Garcia-Pablos, Montse Cuadros","doi":"10.1109/MCG.2025.3548554","DOIUrl":"https://doi.org/10.1109/MCG.2025.3548554","url":null,"abstract":"Extended Reality (XR) is evolving rapidly, offering new paradigms for humancomputer interaction. This position paper argues that integrating Large Language Models (LLMs) with XR systems represents a fundamental shift toward more intelligent, context-aware, and adaptive mixed-reality experiences. We propose a structured framework built on three key pillars: (1) Perception and Situational Awareness, (2) Knowledge Modeling and Reasoning, and (3) Visualization and Interaction. We believe leveraging LLMs within XR environments enables enhanced situational awareness, real-time knowledge retrieval, and dynamic user interaction, surpassing traditional XR capabilities. We highlight the potential of this integration in neurorehabilitation, safety training, and architectural design while underscoring ethical considerations such as privacy, transparency, and inclusivity. This vision aims to spark discussion and drive research toward more intelligent, human-centric XR systems.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Collective Storytelling: Investigating Audience Annotations in Data Visualizations. 走向集体叙事：调查数据可视化中的受众注释。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-04 DOI: 10.1109/MCG.2025.3547944

Tobias Kauer, Marian Dork, Benjamin Bach

引用次数: 0

Data-Inflected Visions of Feminicide. 数据影响下的杀害女性行为。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-02-17 DOI: 10.1109/MCG.2025.3543025

Helena Suarez Val

引用次数: 0

Accelerate Cutting Tasks in Real-Time Interactive Cutting Simulation of Deformable Objects. 可变形物体实时交互切削仿真中的加速切削任务。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-02-05 DOI: 10.1109/MCG.2025.3538985

Shiyu Jia, Qian Dong, Zhenkuan Pan, Xiaokang Yu, Wenli Xiu, Jingli Zhang

引用次数: 0

Augmented Reality Art Museum Mobile Guide for Enhancing User Experience. 增强现实艺术博物馆移动指南，增强用户体验。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-01-14 DOI: 10.1109/MCG.2025.3529981

Tung-Ju Hsieh, Yao-Hua Su, Li-Sen Lin

引用次数: 0

A Semi-Automated Pipeline for the Creation of Virtual Fitting Room Experiences Featuring Motion Capture and Cloth Simulation. 半自动化流水线，用于创建具有动作捕捉和布料模拟的虚拟试衣间体验。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-12-24 DOI: 10.1109/MCG.2024.3521716

Alberto Cannavo, Giacomo Offre, Fabrizio Lamberti

{"title":"A Semi-Automated Pipeline for the Creation of Virtual Fitting Room Experiences Featuring Motion Capture and Cloth Simulation.","authors":"Alberto Cannavo, Giacomo Offre, Fabrizio Lamberti","doi":"10.1109/MCG.2024.3521716","DOIUrl":"https://doi.org/10.1109/MCG.2024.3521716","url":null,"abstract":"Technological advancements are prompting the digitization of many industries, including fashion. Many brands are exploring ways to enhance customers' experience, e.g., offering new shopping-oriented services like Virtual Fitting Rooms (VFRs). However, there are still challenges that prevent customers from effectively using these tools for trying on digital garments. Challenges are associated with difficulties in obtaining high-fidelity reconstructions of body shapes and providing realistic visualizations of animated clothes following real-time customers' movements. This paper tackles such lacks by proposing a semi-automated pipeline supporting the creation of VFR experiences by exploiting state-of-the-art techniques for the accurate description and reconstruction of customers' 3D avatars, motion capture-based animation, as well as realistic garment design and simulation. A user study in which the resulting VFR experience was compared with those created with two existing tools showed the benefits of the devised solution in terms of usability, embodiment, model accuracy, perceived value, adoption and purchase intention.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics. LossLens：通过损失景观视觉分析进行机器学习诊断。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-12-16 DOI: 10.1109/MCG.2024.3509374

Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W Mahoney, Talita Perciano, Gunther H Weber, Ross Maciejewski

{"title":"LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.","authors":"Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W Mahoney, Talita Perciano, Gunther H Weber, Ross Maciejewski","doi":"10.1109/MCG.2024.3509374","DOIUrl":"https://doi.org/10.1109/MCG.2024.3509374","url":null,"abstract":"Modern machine learning often relies on optimizing a neural network's parameters using a loss function to learn complex features. Beyond training, examining the loss function with respect to a network's parameters (i.e., as a loss landscape) can reveal insights into the architecture and learning process. While the local structure of the loss landscape surrounding an individual solution can be characterized using a variety of approaches, the global structure of a loss landscape, which includes potentially many local minima corresponding to different solutions, remains far more difficult to conceptualize and visualize. To address this difficulty, we introduce LossLens, a visual analytics framework that explores loss landscapes at multiple scales. LossLens integrates metrics from global and local scales into a comprehensive visual representation, enhancing model diagnostics. We demonstrate LossLens through two case studies: visualizing how residual connections influence a ResNet-20, and visualizing how physical parameters influence a physics-informed neural network (PINN) solving a simple convection problem.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Virtual Reality Training through Artificial Intelligence: A Case Study. 通过人工智能增强虚拟现实训练：一个案例研究。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-12-04 DOI: 10.1109/MCG.2024.3510857

Riccardo Giussani, Nicolo Dozio, Stefano Rigone, Luca Parenzan, Francesco Ferrise

引用次数: 0