45 citations · 53 across the 6 of their papers we have counts for
7 papers
ViSTAR: Virtual Skill Training with Augmented Reality with 3D Avatars and LLM coaching agent
Chunggi Lee, Hayato Saiki, Tica Lin +4
We present ViSTAR, a Virtual Skill Training system in AR that supports self-guided basketball skill practice, with feedback on balance, posture, and timing. From a formative study…
Enhancing User Performance and Human Factors through Visual Guidance in AR Assembly Tasks
Leon Pietschmann, Michel Schimpf, Zhu-Tian Chen +2
This study investigates the influence of Visual Guidance (VG) on user performance and human factors within Augmented Reality (AR) via a between-subjects experiment. VG is a crucial…
PSGait: Gait Recognition using Parsing Skeleton
Hangrui Xu, Zhengxian Wu, Chuanrui Zhang +4
Gait recognition has emerged as a robust biometric modality due to its non-intrusive nature. Conventional gait recognition methods mainly rely on silhouettes or skeletons. While ef…
SportsBuddy: Designing and Evaluating an AI-Powered Sports Video Storytelling Tool Through Real-World Deployment
Tica Lin, Ruxun Xiang, Gardenia Liu +5
Video storytelling is essential for sports performance analysis and fan engagement, enabling sports professionals and fans to effectively communicate and interpret the spatial and…
Sportify: Question Answering with Embedded Visualizations and Personified Narratives for Sports Video
Chunggi Lee, Tica Lin, Hanspeter Pfister +1
As basketball's popularity surges, fans often find themselves confused and overwhelmed by the rapid game pace and complexity. Basketball tactics, involving a complex series of acti…
WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization
Liwenhan Xie, Chengbo Zheng, Haijun Xia +2
Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Inte…
Unraveling the Temporal Dynamics of the Unet in Diffusion Models
Vidya Prasad, Chen Zhu-Tian, Anna Vilanova +3
Diffusion models have garnered significant attention since they can effectively learn complex multivariate Gaussian distributions, resulting in diverse, high-quality outcomes. They…