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  1. Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

    Jupyter Notebook 27 7

  2. Tools for motion capture data. Data collection was captured by a Vicon system and Kinect Sensor in SMILE Lab, NEU.

    Jupyter Notebook 1 1

  3. MATLAB and C++ tools for agglomerative clustering.

    C++ 1 1

  4. Evaluation and visualization tools for pairwise measures. The motivation for this repo is to evaluate clustering algorithms. However, amongst other use cases, this code-base is relevant in problems…

    Python

  5. GUI tool to label start/end frames in videos as sequences of predefined classes (i.e., action classes)

    MATLAB 1

  6. SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

    Jupyter Notebook 6 3

56 contributions in the last year

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Contribution activity

June 2021

visionjo has no activity yet for this period.

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