Muhammad Asad and S.M. Masadur Al-Arif who are pursuing PhD degrees in the Computer Vision Group within the Research Centre for Machine Learning have received Best Paper Awards for research presented in two leading conferences this year.
In June 2016, Muhammad received the Best Paper Award at the 2nd Workshop on Observing and Understanding Hands in Action, part of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, for the paper “Learning Marginalization through Regression for Hand Orientation Inference”, co-authored by Dr Gregory Slabaugh.
The paper presented a novel machine learning model that enables a computer to understand and describe the orientation of a human hand by looking at colour images of it.
In September 2016, Arif received the best paper award at the Fourth MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging, part of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, for the paper “Global Localization and Orientation of the Cervical Spine in X-ray Imaging”, co-authored by M. Gundry, K. Knapp, and G. Slabaugh.
The paper presented a machine learning framework capable of teaching the computer to locate the spinal column in X-ray images. It learns what the spinal column looks like from expert annotated example X-ray images and is able to locate the spine on unseen images.
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