A dynamic graph multi-task network with lexical task tokens improves joint prediction of intent, attitude, and actions in human-robot interaction and learns a time-varying task-affinity matrix.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2representative citing papers
FGINet uses a band-masked frequency encoder and layer-wise gated injection to fuse frequency artifacts with vision foundation model semantics, plus hyperspherical compactness learning, to achieve better generalization in AI-generated image detection.
citing papers explorer
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Teaching Robots to Interpret Social Interactions through Lexically-guided Dynamic Graph Learning
A dynamic graph multi-task network with lexical task tokens improves joint prediction of intent, attitude, and actions in human-robot interaction and learns a time-varying task-affinity matrix.
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Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection
FGINet uses a band-masked frequency encoder and layer-wise gated injection to fuse frequency artifacts with vision foundation model semantics, plus hyperspherical compactness learning, to achieve better generalization in AI-generated image detection.