paper-conference

We propose a novel SNN formulation for hypergraph minimum vertex cover, which achieves high-quality solutions with reduced energy consumption efficiently.
In NeurIPS 2024.

A hybrid quantum-classical solution with an error bound for consensus maximisation
In CVPR 2022.

Our machine learning-based robotic perception for accurate localisation, semantic mapping of the lunar terrain, and object detection for close-range manoeuvring between rovers
In ICRA 2022. (Won 3rd place in NASA Space Robotics Challenge and an Innovation award).

Repeatability of an interest point is not constant but a function of time
In ICRA 2021

Explore the sparsity of topological map to improve the inference time for place recognition
In ICRA 2020

Propose Monte Carlo Visual Localization, which ensures the temporal consistency of localization inference.
In DICTA 2019.

Highlight the need for continuous data collection in achieving a robust place recognition system. This drives our proposal for a scalable solution based on the Hidden Markov Model.
In ICCV 2019

We propose an efficient outlier-robust algorithm to tackle INS and GPS sensor fusion problem for pose estimation.
In IROS 2019

Unify two-step supervised and unsupervised image hashing into the Binary Quadratic Problem, then propose 2 solvers: Semidefinite relaxation and Augmented Lagrangian
In ECCV 2016. (Spotlight)

Explore the deep neural network for binary hashing. Propose a solution for optimising neural network (backpropagation) with a binary constraint
In ECCV 2016