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vjepa2

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AI-powered predictive navigation assistant for visually impaired students that uses DINOv3 semantic perception, JEPA world modeling, cognitive mapping, YOLOE open-vocabulary detection, EasyOCR landmark reading, and AttnLRP explainability to enable trustworthy, map free campus navigation with real time voice guidance.

  • Updated May 10, 2026
  • Jupyter Notebook

Predicts a human audience's second-by-second neural engagement with a movie trailer before anyone watches it. Meta FAIR TRIBE v2 (V-JEPA2 + Wav2Vec-BERT + Llama 3.2) turns video into 20,484 fMRI vertices, mapped across 7 brain regions into 5 emotions, with scene peaks, personas and a PDF report.

  • Updated Apr 8, 2026
  • Jupyter Notebook

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