I am a PhD student in SketchX Lab - Computer Vision Group at Queen Mary, University of London, co-supervised by Dr. Yi-Zhe Song and Dr. Tao Xiang. In my research I am interested in discovering the potential of amateur drawings (sketches) for data retrieval at commercial level. From a technical point of view I use Recurrent Neural Networks and Reinforcement Learnings methods to elaborate and exploit the sequential information present in sketches in the form of strokes.


  1. LEARNING DEEP SKETCH ABSTRACTION PDF
    Umar Riaz Muhammad, Yi-Zhe Song, Tao Xiang and Timothy M. Hospedales.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.


  2. HAIR DETECTION, SEGMENTATION, AND HAIRSTYLE CLASSIFICATION IN THE WILD PDF PROJECT
    U.R. Muhammad, M. Svanera, R. Leonardi, and S. Benini
    Image and Vision Computing, 2018.


  3. FIGARO, HAIR DETECTION AND SEGMENTATION IN THE WILD PDF PROJECT
    M. Svanera, U.R. Muhammad, R. Leonardi, and S. Benini
    IEEE International Conference on Image Processing (ICIP), 2016.

Education

  • Erasmus Traineeship Program - Imperial College London, 2016
  • M.Sc. in Communication Techonlogies and Multimedia, University of Brescia, 2016
  • B.Sc. in Electronics and Telecommunications Engineering, University of Brescia, 2013

Master Thesis