CVMay 2, 2018

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues

arXiv:1805.00638v226 citations
Originality Synthesis-oriented
AI Analysis

This work addresses emotion recognition for potential applications in human-computer interaction, but it appears incremental as it focuses on methodology for a specific challenge.

The paper tackled emotion prediction using acoustic-visual cues, but the abstract only describes the methodology for a challenge submission without reporting results or concrete numbers.

In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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