Fine-tuning Gemini 2.5 Pro with LoRA on 400 home videos improves per-feature agreement with clinicians by 40% and zero-shot ASD diagnosis F1 by 53% on held-out data, with classifier pipelines reaching 77% accuracy.
Com- puter vision estimation of emotion reaction intensity in the wild,
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This survey organizes deep learning FER literature into five evolutionary phases and a seven-criteria taxonomy, compares datasets and performance, and outlines challenges.
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Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
Fine-tuning Gemini 2.5 Pro with LoRA on 400 home videos improves per-feature agreement with clinicians by 40% and zero-shot ASD diagnosis F1 by 53% on held-out data, with classifier pipelines reaching 77% accuracy.
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Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions
This survey organizes deep learning FER literature into five evolutionary phases and a seven-criteria taxonomy, compares datasets and performance, and outlines challenges.