A novel network with the underlying architecture of a fully convolutional network, infused with feature re-calibrated Dense blocks at each layer.
A novel redirected walking technique for virtual reality leveraging dynamic foveated rendering and a psychological phenomenon of inattentional blindness. The technology is currently available for licensing.
A novel solution based on two Convolutional Neural Networks (CNNs): SalienceNet and DeepCaustics. Caustics.
A novel compound measure for gaze-based interaction techniques that integrates subjective NASA TLX scores with objective measurements of eye movement fixation points. Recipient of Best Paper Finalist Award.
A new solution for automatically converting large LiDAR data pointcloud into simplified polygonal 3D models.
Majid Pourmemar received VRCAI 2019 Diversity and Inclusion Scholarship sponsored by Disney Research.
Rapid Scanning and Automatic 3D Reconstruction of Underwater Sites – FP7-PEOPLE Marie Curie – International Reintegration Grant, (2010-2014)
A State-of-the-Art VR CAVE facility for the Advancement of Multi-Disciplinary Research & Development in Cyprus – Research Promotion Foundation, (2012-2014)