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Showing 1 to 5 of 5 for “"Video action recognition"”.

  1. Learning in vision and robotics

    <p>I present my work on learning from video and robotic input. This is an important problem, with numerous potential applications. The use of machine learning makes it possible to obtain models which can handle noise and variation without explicitly programming them. It also raises the possibility …

    purdue-thes Repository record for Learning in vision and robotics (opens in a new tab)

  2. Human action recognition in the real world: handling domain shift in open-set, source-free and multi-source scenarios

    … in trending fields such as human-robot interaction, autonomous driving, drone footage, sports and video surveillance. The variety of different scenarios and conditions in which modern computer vision algorithms are expected to operate, along with the significant cost derived from collecting …

    trento Repository record for Human action recognition in the real world: handling domain shift in open-set, source-free and multi-source scenarios (opens in a new tab)

  3. Visual relationship understanding

    … tasks: visual relationship detection (VRD) and video action recognition. The majority of the thesis is focused on VRD, which is our main contribution. Relations amongst entities play a central role in image and video understanding. In the first three chapters, we discuss visual relationship …

    uiuc Repository record for Visual relationship understanding (opens in a new tab)

  4. Action Recognition with Knowledge Transfer

    … on deep neural networks has shown remarkable action recognition performance from videos. The remarkable performance is often achieved by transfer learning: training a model on a large-scale labeled dataset (source) and then fine-tuning the model on the small-scale labeled datasets (targets). …

    vt Repository record for Action Recognition with Knowledge Transfer (opens in a new tab)

  5. Im2Vid: Future Video Prediction for Static Image Action Recognition

    Static image action recognition aims at identifying the action performed in a given image. Most existing static image action recognition approaches use high-level cues present in the image such as objects, object human interaction, or human pose to better capture the action performed. Unlike …

    vt Repository record for Im2Vid: Future Video Prediction for Static Image Action Recognition (opens in a new tab)