About me
I am a senior researcher at the Australian Institute for Machine Learning (AIML) at the University of Adelaide where I am a part of the Sentient Satellites Lab. Previously, I was associated with the Australian Centre for Robotic Vision (ACRV).
The full list of publications can be found in the publication section.
Recent
🛰 Check out our lastest work that enables payload on-boards satellites to main highly accurate pointing by tracking stars!
Best Paper awards
- RA-L Best Paper 2021 “HM4: Hidden Markov Model with Memory Management”
- DICTA 2019 for our work on visual localization under appearance change.
News
- [Sept 2023] 🛰 We presented our work on ultra fine stabilisation at the “The Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference”, the premier SSA conference. 🛰
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[May 2022] We won! We recieved an RA-L best paper award for our work title “HM4: Hidden Markov Model with Memory Management”. Congrats to all the authors!
- [Oct 2020] Our work on long term distributed place recognition titled “HM4: Hidden Markov Model with Memory Management” has been accepted at RA-L.
- [Mar 2020] SPRINT: Subgraph Place Recognition for INtelligent Transportation accepted to ICRA 2020
- [Dec 2019] Best paper award at DICTA for our work on visual localization under appearance change. Congrats Dzung!
- [Dec 2019] Invited talk at SLAM and deep learning workshop at ICCV.
- [Dec 2019] Presented our work on Long term place recognition at ICCV, 2019
- [OCT 2019] We won! Winners Gov-Hack 2019 digital culture challenge.
Datasets and software
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Robust SLAM Realizing, Reversing, Recovering (RRR) algorithm The code accompanying our work on Robustifying the SLAM backend can be found at https://github.com/ylatif/rrr
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Robust SLAM Benchmarking Dataset Dataset that we developed for benchmarking Robust SLAM methods https://github.com/ylatif/dataset-RobustSLAM