Anh-Dzung Doan
Anh-Dzung Doan
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Journal article
Conference paper
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2013
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
We propose a novel SNN formulation for hypergraph minimum vertex cover, which achieves high-quality solutions with reduced energy consumption efficiently.
In
NeurIPS 2024
.
Tam Ngoc-Bang Nguyen
,
Anh-Dzung Doan
,
Zhipeng Cai
,
Tat-Jun Chin
PDF
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach
We develop a planning algorithm that employs multiple sensors to observe multiple targets, minimising the time needed for maritime situational awareness.
IEEE Transactions on Intelligent Transportation Systems 2024
.
Bach Long Nguyen
,
Anh-Dzung Doan
,
Tat-Jun Chin
,
Christophe Guettier
,
Surabhi Gupta
,
Estelle Parra
,
Ian Reid
,
Markus Wagner
PDF
Code
DOI
Assessing Domain Gap for Continual Domain Adaptation in Object Detection
We address the question “when to adapt” if the object detector is required to be continually updated.
Computer Vision and Image Understanding 2024
.
Anh-Dzung Doan
,
Bach Long Nguyen
,
Surabhi Gupta
,
Ian Reid
,
Markus Wagner
,
Tat-Jun Chin
PDF
Code
Project
DOI
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection
A novel bandwidth-efficient domain adaptation method,
which has been implemented in Kanyini
—the first satellite fully designed, built, and owned by South Australia.
Remote Sensing 2024
.
Andrew Du
,
Anh-Dzung Doan
,
Yee Wei Law
,
Tat-Jun Chin
PDF
Code
DOI
A Hybrid Quantum-Classical Algorithm for Robust Fitting
A hybrid quantum-classical solution with an error bound for consensus maximisation
In
CVPR 2022
.
Anh-Dzung Doan
,
Michele Sasdelli
,
David Suter
,
Tat-Jun Chin
PDF
Code
Slides
DOI
Presentation
Autonomy and Perception for Space Mining
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)
.
Ragav Sachdeva
,
Ravi Hammond
,
James Bockman
,
Alec Arthur
,
Brandon Smart
,
Dustin Craggs
,
Anh-Dzung Doan
,
Thomas Rowntree
,
Elijah Schutz
,
Adrian Orenstein
,
Andy Yu
,
Tat-Jun Chin
,
Ian Reid
PDF
Project
Video
DOI
HM4: Hidden Markov Model With Memory Management for Visual Place Recognition
Achieve a lightweight & scalable solution for place recognition
IEEE Robotics and Automation Letters 2021
.
Anh-Dzung Doan
,
Yasir Latif
,
Tat-Jun Chin
,
Ian Reid
PDF
Project
DOI
Learning to Predict Repeatability of Interest Points
Repeatability of an interest point is not constant but a function of time
In
ICRA 2021
Anh-Dzung Doan
,
Daniyar Turmukhambetov
,
Yasir Latif
,
Tat-Jun Chin
,
Soohyun Bae
PDF
DOI
Visual localization under appearance change: filtering approaches
Propose 2 filtering approaches for visual localization
:
Monte Carlo Visual Localization, and Hidden Markov Model.
Neural Computing and Applications 2020
(Special Issue on Best of DICTA 2019)
.
Anh-Dzung Doan
,
Yasir Latif
,
Tat-Jun Chin
,
Yu Liu
,
Shin-Fang Ch’ng
,
Thanh-Toan Do
,
Ian Reid
PDF
Code
DOI
SPRINT: Subgraph Place Recognition for INtelligent Transportation
Explore the sparsity of topological map to improve the inference time for place recognition
In
ICRA 2020
Yasir Latif
,
Anh-Dzung Doan
,
Tat-Jun Chin
,
Ian Reid
DOI
Visual Localization under Appearance Change: A Filtering Approach
Propose Monte Carlo Visual Localization, which ensures the temporal consistency of localization inference.
In
DICTA 2019
.
Anh-Dzung Doan
,
Yasir Latif
,
Thanh-Toan Do
,
Yu Liu
,
Shin-Fang Ch’ng
,
Tat-Jun Chin
,
Ian Reid
PDF
Code
Dataset
Slides
DOI
Scalable Place Recognition Under Appearance Change for Autonomous Driving
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
Anh-Dzung Doan
,
Yasir Latif
,
Tat-Jun Chin
,
Yu Liu
,
Thanh-Toan Do
,
Ian Reid
PDF
Code
Slides
Video
DOI
Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion
We propose an efficient outlier-robust algorithm to tackle INS and GPS sensor fusion problem for pose estimation.
In
IROS 2019
Shin-Fang Ch’ng
,
Alireza Khosravian
,
Anh-Dzung Doan
,
Tat-Jun Chin
DOI
Compact Hash Code Learning With Binary Deep Neural Network
Extension of ECCV16 paper
:
end-to-end training binary deep neural network and CNN.
IEEE Transactions on Multimedia 2019
.
Thanh-Toan Do
,
Tuan Hoang
,
Dang-Khoa Le Tan
,
Anh-Dzung Doan
,
Ngai-Man Cheung
PDF
DOI
On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC
Develop an on-device system for large-scale visual localisation
IEEE Transactions on Image Processing 2018
.
Ngoc-Trung Tran
,
Dang-Khoa Le Tan
,
Anh-Dzung Doan
,
Thanh-Toan Do
,
Tuan-Anh Bui
,
Mengxuan Tan
,
Ngai-Man Cheung
PDF
DOI
G2D: from GTA to Data
Present a software to collect simulated data from computer game GTA V. Users have fully control of camera poses and environmental conditions.
Anh-Dzung Doan
,
Abdul Mohsi Jawaid
,
Thanh-Toan Do
,
Tat-Jun Chin
PDF
Project
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian
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)
Thanh-Toan Do
,
Anh-Dzung Doan
,
Duc-Thanh Nguyen
,
Ngai-Man Cheung
PDF
DOI
Learning to Hash with Binary Deep Neural Network
Explore the deep neural network for binary hashing. Propose a solution for optimising neural network (backpropagation) with a binary constraint
In
ECCV 2016
Thanh-Toan Do
,
Anh-Dzung Doan
,
Ngai-Man Cheung
PDF
DOI
Code UH-BDNN
Code SH-BDNN
Learned and designed features for sparse coding in image classification
In
RIVF 2013
Anh-Dzung Doan
,
Ngoc-Trung Tran
,
Dinh-Phong Vo
,
Bac Le
DOI
Combining Descriptors Extracted from Feature Maps of Deconvolutional Networks and SIFT Descriptors in Scene Image Classification
In
ICCSA 2013
Anh-Dzung Doan
,
Ngoc-Trung Tran
,
Dinh-Phong Vo
,
Bac Le
,
Atsuo Yoshitaka
DOI
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