A comparison between MoCo and MAE embeddings generate from CIFAR10 dataset.
Developed an end-to-end docking location detection network based on synergy of deep point set networks and Hough voting.
Developed a real-time computer vision pipeline to find potential docking locations indoor environments for wheelchairs using point cloud data.
Real-time wheelchair navigation with shared control using model predictive path integral (MPPI) controller.
Indoor object detection using Votenet for pointclouds captured from RGB-D cameras in ROS simulation.
Developed a predictive model that can play chess like humans, with special focus on modelling amateur play.
Summarised 10 state-of-the-art approaches to verify DNN and developed a framework to test networks (eg ACAS Xu) on safety cases using SMT solvers.
Developed a CNN capable of obtaining a temporally consistent, full 3D skeletal human pose from a single RGB camera.