A skeleton-guided spatiotemporal graph transformer for automated stroke quality assessment in college-level table tennis education

Di Wang; Yue Guo

doi:10.1007/s44443-026-00794-4

Citations

392

Views

Abstract not available for this publication.

Cite this Article (APA)

Di, W., Yue, G. (2026). A skeleton-guided spatiotemporal graph transformer for automated stroke quality assessment in college-level table tennis education. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00794-4

Zhizhong Xing; Leping Li; Ying Yang; Wei Zhou; Guolan Ma; Shaochun Chen; Lechun · 2026

cites

425

DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments

Minqiu Kuang; Xuejie Zou; Fangping Xie; Xiaojian Li; Shang Chen; Dawei Liu; Yuxu · 2026

cites

430

Information guided Levy flight for robot search in unknown environments

Weitao Zhao; Zati Hakim Azizul; Xin Lyu; Weijie Kuang · 2026

cites

411

SemCap: Sentiment-aware semantic captioning for multimodal aspect-based sentiment analysis