Ravi Garg

Ravi Garg

Australian Institute for Machine Learning

Division of Research and Innovation

Eligible to supervise Masters and PhD - email supervisor to discuss availability.


I am a Computer Vision and Machine Learning Researcher and a Future Making Fellow at Australian Institute of Machine Learning at The University of Adelaide. I obtained my PhD from The University of London in 2014 with the dissertation on "Dense motion capture of deformable surfaces from monocular video", under the guidance of Prof. Lourdes Agapito. I have worked for six years as Sr. Research Associate with Prof Ian Reid at The University of Adelaide. My research incorporated Machine Learning into real-time Localisation and Mapping and introduced Unsupervised Learning frameworks for single view depth and egomotion estimation. Before joining the university as Future Making Fellow, I was working as Sr. Applied Scientist for 2.5 years at Amazon Research with Prof Anton Van Den Hengel.

I am currently interested in 3D Reconstruction, Visual Reasoning and Generative AI for Robotics and Automation.

  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Co-Supervisor Understanding Generalization and Memorization of Deep Neural Network from Distance and Rank Doctor of Philosophy Doctorate Full Time Mr Jianqiao Zheng
    2024 Co-Supervisor Visual Object Tracking and Modelling for Embodied AI. Doctor of Philosophy Doctorate Full Time Mr Adam William Bethell
    2024 Principal Supervisor Collaborative object identification for Un-crewed Aerial System (UAS) tasks in complex environments Doctor of Philosophy Doctorate Full Time Mr Andrew Martin Chesson
  • Past Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2017 - 2018 Co-Supervisor Deeply Learned Priors for Geometric Reconstruction Doctor of Philosophy Doctorate Full Time Mr Saroj Weerasekera

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