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pro vyhledávání: '"Korban, Matthew"'
This paper presents a novel spatiotemporal transformer network that introduces several original components to detect actions in untrimmed videos. First, the multi-feature selective semantic attention model calculates the correlations between spatial
Externí odkaz:
http://arxiv.org/abs/2405.08204
Publikováno v:
Pattern Recognition 2023
This paper proposes a novel multi-modal transformer network for detecting actions in untrimmed videos. To enrich the action features, our transformer network utilizes a new multi-modal attention mechanism that computes the correlations between differ
Externí odkaz:
http://arxiv.org/abs/2305.19624
Publikováno v:
Pattern Recognition 2023
This paper proposes a novel age estimation algorithm, the Temporally-Aware Adaptive Graph Convolutional Network (TAA-GCN). Using a new representation based on graphs, the TAA-GCN utilizes skeletal, posture, clothing, and facial information to enrich
Externí odkaz:
http://arxiv.org/abs/2305.08779
Autor:
Korban, Matthew, Li, Xin
This paper investigates different approaches to build and use digital human avatars toward interactive Virtual Co-presence (VCP) environments. We evaluate the evolution of technologies for creating VCP environments and how the advancement in Artifici
Externí odkaz:
http://arxiv.org/abs/2201.04168
Publikováno v:
In Computers and Education: Artificial Intelligence June 2024 6
Autor:
Youngs, Peter, Crimmins, Scout Beron, Foster, Jonathan, Korban, Matthew, Watson, Ginger S., Acton, Scott T.
Publikováno v:
Proceedings of the ASEE Annual Conference & Exposition; 2023, p1-5, 6p