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GeezerVison is showing github.com — Multimodal Intelligence Lab

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  1. Video-Comprehension-Score Video-Comprehension-Score Public

    VCS is a Python library specifically designed to overcome these challenges by evaluating narrative comprehension through direct comparison of extensive, detailed video descriptions generated by LVL…

    Python 2 1

  2. CLIP-CC CLIP-CC Public

    CLIP-CC: 200 human-narrated descriptions of ~90-second movie clips for long-form video-description research (EvalMG @ SIGIR 2026).

    Python 1

  3. MuSDeT MuSDeT Public

    MuSDeT: Multimodal Stress Detection with Temporal Context (MULA Workshop, CVPR 2026)

    Python 1

  4. CLIP-CC-Bench CLIP-CC-Bench Public

    Evaluation framework and leaderboard for paragraph-level, minute-scale video description: 200 movie clips, 17 video-language models, 5 embedding judges (EvalMG @ SIGIR 2026).

    Python 1

  5. mint-brand mint-brand Public

    JavaScript

  6. face-hoc-pipeline- face-hoc-pipeline- Public

    Python

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Showing 6 of 6 repositories
  • face-hoc-pipeline- Public

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    Multimodal-Intelligence-Lab/face-hoc-pipeline-'s past year of commit activity
    Python 0 AGPL-3.0 0 0 0 Updated Sep 8, 2026
  • CLIP-CC-Bench Public

    Evaluation framework and leaderboard for paragraph-level, minute-scale video description: 200 movie clips, 17 video-language models, 5 embedding judges (EvalMG @ SIGIR 2026).

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    Multimodal-Intelligence-Lab/CLIP-CC-Bench's past year of commit activity
    Python 1 MIT 0 0 0 Updated Aug 25, 2026
  • mint-brand Public

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    Multimodal-Intelligence-Lab/mint-brand's past year of commit activity
    JavaScript 0 0 0 0 Updated Aug 21, 2026
  • CLIP-CC Public

    CLIP-CC: 200 human-narrated descriptions of ~90-second movie clips for long-form video-description research (EvalMG @ SIGIR 2026).

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    Multimodal-Intelligence-Lab/CLIP-CC's past year of commit activity
    Python 1 MIT 0 0 0 Updated Aug 9, 2026
  • Video-Comprehension-Score Public

    VCS is a Python library specifically designed to overcome these challenges by evaluating narrative comprehension through direct comparison of extensive, detailed video descriptions generated by LVLMs against human-written references. Unlike traditional metrics, VCS assesses whether models capture the overall narrative structure, event sequencing, a

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    Multimodal-Intelligence-Lab/Video-Comprehension-Score's past year of commit activity
    Python 2 MIT 1 0 0 Updated Jun 12, 2026
  • MuSDeT Public

    MuSDeT: Multimodal Stress Detection with Temporal Context (MULA Workshop, CVPR 2026)

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    Multimodal-Intelligence-Lab/MuSDeT's past year of commit activity
    Python 1 MIT 0 0 0 Updated Jun 1, 2026

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