AffectReveal: Event-Grounded Emotion Recognition Beyond Visual Appearances

arXiv:2609.36563 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Verification — 34× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Benchmark — 10× in this paper · explained in 2 episodes
• Event-Grounded Emotion Recognition — 7× in this paper
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Core — 4× in this paper · explained in 2 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Ablation — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Affective Computing — 2× in this paper · explained in 1 episode
• Generative AI — 2× in this paper · explained in 2 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Agentic System — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unweighted Average Recall — 1× in this paper
• Weighted Average F1-score — 1× in this paper

Sources

• BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
• PaddleOCR 3.0 Technical Report
• AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
• Emotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding
• Qwen3.5-Omni Technical Report
• AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition
• ReAct: Synergizing Reasoning and Acting in Language Models

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