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Filtering by: Creator Barros, A. M. Remove constraint Creator: Barros, A. M. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Creator Aziere, Nicolas Remove constraint Creator: Aziere, Nicolas Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

    Creator:
    Aziere, Nicolas
    Abstract:
    This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
    Resource Type:
    Dissertation
    Full Text:
    with a learnable diffusion. Our main contribution in (1) is a new model which integrates convolutional