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Stephen Hausler
Stephen Hausler
Research Scientist, CSIRO
Verified email at csiro.au
Title
Cited by
Cited by
Year
Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
S Hausler, S Garg, M Xu, M Milford, T Fischer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3282021
Multi-process fusion: Visual place recognition using multiple image processing methods
S Hausler, A Jacobson, M Milford
IEEE Robotics and Automation Letters 4 (2), 1924-1931, 2019
802019
Hierarchical multi-process fusion for visual place recognition
S Hausler, M Milford
2020 IEEE International Conference on Robotics and Automation (ICRA), 3327-3333, 2020
382020
Look no deeper: Recognizing places from opposing viewpoints under varying scene appearance using single-view depth estimation
S Garg, M Babu, T Dharmasiri, S Hausler, N Suenderhauf, S Kumar, ...
2019 International Conference on Robotics and Automation (ICRA), 4916-4923, 2019
242019
Filter early, match late: Improving network-based visual place recognition
S Hausler, A Jacobson, M Milford
2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019
192019
Improving worst case visual localization coverage via place-specific sub-selection in multi-camera systems
S Hausler, M Xu, S Garg, P Chakravarty, S Shrivastava, A Vora, M Milford
IEEE Robotics and Automation Letters 7 (4), 10112-10119, 2022
82022
Bio-inspired multi-scale fusion
S Hausler, Z Chen, ME Hasselmo, M Milford
Biological cybernetics 114, 209-229, 2020
72020
Feature map filtering: Improving visual place recognition with convolutional calibration
S Hausler, A Jacobson, M Milford
arXiv preprint arXiv:1810.12465, 2018
62018
Unsupervised complementary-aware multi-process fusion for visual place recognition
S Hausler, T Fischer, M Milford
arXiv preprint arXiv:2112.04701, 2021
52021
Boosting performance of a baseline visual place recognition technique by predicting the maximally complementary technique
C Malone, S Hausler, T Fischer, M Milford
2023 IEEE International Conference on Robotics and Automation (ICRA), 1919-1925, 2023
42023
P1-021: map creation, monitoring and maintenance for automated driving: literature review
S Hausler, M Milford
42021
Automatic calibration of a biologically inspired neural network for robot slam
D Dall'Osto, S Hausler, A Jacobson, M Milford
Proceedings of the Australasian Conference on Robotics and Automation (ACRA …, 2018
42018
Reg-NF: Efficient registration of implicit surfaces within neural fields
S Hausler, D Hall, S Mahendren, P Moghadam
arXiv preprint arXiv:2402.09722, 2024
22024
Displacing objects: Improving dynamic vehicle detection via visual place recognition under adverse conditions
S Hausler, S Garg, P Chakravarty, S Shrivastava, A Vora, M Milford
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
22023
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments
K Vidanapathirana, J Knights, S Hausler, M Cox, M Ramezani, J Jooste, ...
arXiv preprint arXiv:2312.15364, 2023
12023
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors
J Knights, S Hausler, S Sridharan, C Fookes, P Moghadam
IEEE Robotics and Automation Letters, 2023
12023
Towards Long-term Robotics in the Wild
S Hausler, E Griffiths, M Ramezani, P Moghadam
arXiv preprint arXiv:2404.18477, 2024
2024
Object Registration in Neural Fields
D Hall, S Hausler, S Mahendren, P Moghadam
arXiv preprint arXiv:2404.18381, 2024
2024
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors
J Knights, S Hausler, S Sridharan, C Fookes, P Moghadam
IEEE Robotics and Automation Letters 9 (1), Article number: 3337698 915-922, 2024
2024
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization
S Hausler, S Garg, P Chakravarty, S Shrivastava, A Vora, M Milford
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
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