Now showing items 1-2 of 2

    • Action recognition using deep learning 

      Palasek, Petar (Queen Mary University of London, 2017-10-18)
      In this thesis we study deep learning architectures for the problem of human action recognition in image sequences, i.e. the problem of automatically recognizing what people are doing in a given video. As unlabeled video ...
    • Quantifying Threedimensional Fabric in Tills using X-ray Microcomputed Tomography 

      Groves JWE (Queen Mary University of London, 24/01/2019)
      Deforming subglacial tills have a significant influence on the dynamics of many glaciers and ice sheets; however, due to their inaccessibility and spatial/temporal heterogeneity, laws defining their behaviour and rheology ...