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cs.CV2026
EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness
Yueru Sun, Yimeng Zhang, Haoyu Gu +5
Multimodal Emotion Recognition (MER) is critical for interpreting real-world interactions. While Multimodal Large Language Models (MLLM) have shown promise in MER, their internal d…
cs.CV2026
AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis
Dong She, Xianrong Yao, Liqun Chen +3
Vision-Language Models (VLMs) have demonstrated strong capabilities in perception, yet holistic Affective Image Content Analysis (AICA), which integrates perception, reasoning, and…