Dr Sourav Garg
This person does not currently hold a position at QUT.
Personal details
Keywords
Robotic Vision, Visual Place Recognition, Visual Localization, Image Description and Matching
Research field
Artificial intelligence, Electrical engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
Publications
- Garg, S., Suenderhauf, N. & Milford, M. (2022). Semantic-geometric visual place recognition: a new perspective for reconciling opposing views. International Journal of Robotics Research, 41(6), 573–598. https://eprints.qut.edu.au/133595
- Garg, S., Babu, M., Dharmasiri, T., Hausler, S., Suenderhauf, N., Kumar, S., Drummond, T. & Milford, M. (2019). Look no deeper: Recognizing places from opposing viewpoints under varying scene appearance using single-view depth estimation. Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), 4916–4923. https://eprints.qut.edu.au/127820
- Garg, S., Suenderhauf, N. & Milford, M. (2018). Don't look back: Robustifying place categorization for viewpoint- and condition-invariant place recognition. Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), 3645–3652. https://eprints.qut.edu.au/124632
- Garg, S., Suenderhauf, N. & Milford, M. (2018). LoST? Appearance-invariant place recognition for opposite viewpoints using visual semantics. Robotics: Science and Systems XIV, 1–10. https://eprints.qut.edu.au/124630
- Talbot, B., Garg, S. & Milford, M. (2018). OpenSeqSLAM2.0: An open source toolbox for visual place recognition under changing conditions. Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7758–7765.
- Garg, S., Jacobson, A., Kumar, S. & Milford, M. (2017). Improving condition- and environment-invariant place recognition with semantic place categorization. Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), 6863–6870. https://eprints.qut.edu.au/130281
- Garg, S. & Milford, M. (2017). Straightening sequence-search for appearance-invariant place recognition using robust motion estimation. Proceedings of the 2017 Australasian Conference on Robotics and Automation (ACRA 2017), 203–212. https://eprints.qut.edu.au/199347
- Skinner, J., Garg, S., Suenderhauf, N., Corke, P., Upcroft, B. & Milford, M. (2016). High-fidelity simulation for evaluating robotic vision performance. Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2737–2744. https://eprints.qut.edu.au/109473
QUT ePrints
For more publications by Sourav, explore their research in QUT ePrints (our digital repository).