About
Ravi Garg is a Computer Vision and Machine Learning Researcher and Future Making Fellow at the Australian Institute for Machine Learning, The University of Adelaide. He is eligible to supervise Masters and PhD students, indicating his active faculty status within the institution.
His research expertise spans:
- Computer Vision and Machine Learning fundamentals
- Advanced 3D Reconstruction techniques
- Visual Reasoning systems
- Generative AI applications for Robotics and Automation
- Real-time Localization and Mapping (SLAM)
- Unsupervised Learning frameworks for depth estimation
Dr. Garg earned his PhD from The University of London in 2014 with dissertation research on "Dense motion capture of deformable surfaces from monocular video" under Prof. Lourdes Agapito. His career includes six years as Senior Research Associate with Prof. Ian Reid at The University of Adelaide and 2.5 years as Senior Applied Scientist at Amazon Research working with Prof. Anton Van Den Hengel.
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