most citedComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry

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cs.CV2026

InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark

Shiyu Wang, Ziyu Liu, Chaoyi Yu +6

Visual emotion understanding requires models not only to recognize emotional states, but also to why they arise and perform higher-level cognitive reasoning. However, existing benc…

cs.CV2026

ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception

Huanzhen Wang, Ziheng Zhou, Jiaqi Song +4

Dynamic facial expression recognition in the wild remains challenging due to data scarcity and long-tail distributions, which hinder models from effectively learning the temporal d…