Vidal Lab Vision, Dynamics & Learning
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Data & Code

Datasets, benchmarks, and reference implementations released by the Vidal Lab

  • Vidal Lab Data

    Datasets and benchmarks released by the lab (Hopkins 155, MHAD, JHU-ISI gestures, and more). Migration to a Vidal Lab GitHub organization is in progress.

  • Vidal Lab Code

    Reference implementations for GPCA, Sparse Subspace Clustering, Dual Principal Component Pursuit, dynamical-systems distances, and other lab methods.

  • Vidal Lab on GitHub

    Active code releases from the Vidal Lab.

Vidal Lab

Vision, Dynamics & Learning Lab
University of Pennsylvania
Department of Electrical and Systems Engineering
Philadelphia, PA

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Contact

Prof. René Vidal
vidalr@seas.upenn.edu

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