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LLMs can significantly boost their emotional intelligence simply by role-playing conversations with themselves, iteratively refining their ability to both recognize and express emotions.
Training rPPG models on videos pre-screened by a multimodal LLM for signal quality and scene interference yields a substantial accuracy boost, finally unlocking the potential of unsupervised rPPG on "in-the-wild" data.
Video codecs, typically seen as just compression tools, can actually unlock 3x faster and 87% more efficient video analytics by guiding vision-language model inference.
