Fine-grained action recognition of individual players is a fundamental problem for automatic game understanding, yet existing approaches in team sports primarily rely on local visual appearance or human pose, largely ignoring how players move within the playing environment. We introduce a lightweight tracking-based mot...
Maria Koshkina, Yu-Hao Chen, John S. Zelek et al.· Proceedings of the 9th Inter...· 0 citations
SPARC is proposed, a region-level contrastive learning framework that leverages superpixels to establish explicit correspondence between augmented image views, and introduces a region contrastive branch that performs superpixel-based feature pooling and optimizes a region-level contrastive objective jointly with a glob...
David Szczecina, Yuan-Pei Xiang, Ji-Tao Hu et al.· 0 citations
This work presents a security-oriented framework for risk identification, evaluation, and mitigation in a multi-agent GIS system while maintaining adaptability to broader agentic architectures.
K. Gao, Pranavi Kotta, Linlin Xu et al.· IEEE Geoscience and Remote S...· 0 citations
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