Hamid Rezatofighi is a lecturer at the Faculty of Information Technology, Monash University, Australia. Before that, he was an Endeavour Research Fellow at the Stanford Vision Lab (SVL), Stanford University. He received his PhD from the Australian National University in 2015. His research interest includes vision-based perception tasks, esp. those that are required for an autonomous robot to navigate in a human environment, such as object/person detection, multiple object/people tracking, social trajectory forecasting, social activity and human pose prediction and autonomous social robot planning. He has also research expertise in Bayesian filtering, estimation and learning using point process and finite set statistics and is a pioneer in an emerging field in machine learning, known as set learning using deep neural networks.
Supervisor's projects
Project name Sort descending | Type |
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3D Reconstruction of Human and Objects in Dynamic Scenes from a Monocular Video | Honours project |
A Dataset and Multi-task 3D Visual Perception System for a Mobile Robot in Human Environments | Honours project |
Active Visual Navigation in an Unexplored Environment | Honours project |
Active Visual Navigation in an Unexplored Environment | Research project |
Deep learning for clinical decision support in in vitro fertilisation, IVF | Honours project |
Human body pose tracking from video | Honours project |
Human Spatio-temporal Action, Social Group and Activity Detection from Video | Honours project |
Human Trajectory/Body Motion Forecasting from Visual sensors | Honours project |
Multi-Object Tracking | Honours project |
Co-supervising
Project name Sort descending | Type | Primary supervisor |
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A Neuro-Symbolic Agent for Playing Minecraft | Honours project | Lizhen Qu |