AffectSeek is an agentic framework that localizes affective moments, classifies emotions, and generates rationales in long videos under vague user queries, backed by the new VQAU-Bench benchmark.
Dfew: A large-scale database for recognizing dynamic facial expressions in the wild,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
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SSM framework achieves simultaneous state-of-the-art results on AU detection and FE recognition by using textual semantic prototypes and dynamic prior mapping for bidirectional transfer across heterogeneous data.
citing papers explorer
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AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries
AffectSeek is an agentic framework that localizes affective moments, classifies emotions, and generates rationales in long videos under vague user queries, backed by the new VQAU-Bench benchmark.
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Bidirectional Learning of Facial Action Units and Expressions via Structured Semantic Mapping across Heterogeneous Datasets
SSM framework achieves simultaneous state-of-the-art results on AU detection and FE recognition by using textual semantic prototypes and dynamic prior mapping for bidirectional transfer across heterogeneous data.