Now showing items 1-4 of 4

    • Online action detection 

      Pan, Junting (Universitat Politècnica de Catalunya, 2017-10)
      Master thesis
      Open Access
      In online detection, the objective is to detect the start of an action in a video stream as soon as it happens. It is an important yet challenging problem. In many realistic scenarios, we need to detect the action before ...
    • Online detection of action start in untrimmed, streaming videos 

      Shou, Zheng; Pan, Junting; Chan, Jonathan; Miyazawa, Kazuyuki; Mansour, Hassan; Vetro, Anthony; Giró Nieto, Xavier; Chang, Shih-Fu (Springer, 2018)
      Conference lecture
      Open Access
      We aim to tackle a novel task in action detection - Online Detection of Action Start (ODAS) in untrimmed, streaming videos. The goal of ODAS is to detect the start of an action instance, with high categorization accuracy ...
    • Shallow and deep convolutional networks for saliency prediction 

      Pan, Junting; Sayrol Clols, Elisa; Giró Nieto, Xavier; McGuinness, Kevin; O'Connor, Noel (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference lecture
      Restricted access - publisher's policy
      The prediction of salient areas in images has been traditionally addressed with hand-crafted features based on neuroscience principles. This paper, however, addresses the problem with a completely data-driven approach by ...
    • Visual saliency prediction using deep learning techniques 

      Pan, Junting (Universitat Politècnica de Catalunya, 2015-07)
      Bachelor thesis
      Open Access
      A saliency map is a model that predicts eye fixations on a visual scene. In other words, it is the prediction of saliency areas in images has been traditionally addressed with hand crafted features inspired on neuroscience ...