| Convolutional neural network-based place recognition Z Chen, O Lam, A Jacobson, M Milford Australasian Conference on Robotics and Automation, 2014, 2014 | 136 | 2014 |
| Deep Learning Features at Scale for Visual Place Recognition Z Chen, A Jacobson, N Sunderhauf, B Upcroft, L Liu, C Shen, I Reid, ... International Conference on Robotics and Automation (ICRA 2017), 2017 | 83 | 2017 |
| weednet: Dense semantic weed classification using multispectral images and mav for smart farming I Sa, Z Chen, M Popović, R Khanna, F Liebisch, J Nieto, R Siegwart IEEE Robotics and Automation Letters 3 (1), 588-595, 2017 | 56 | 2017 |
| Only look once, mining distinctive landmarks from convnet for visual place recognition Z Chen, F Maffra, I Sa, M Chli 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 31 | 2017 |
| Generative OpenMax for Multi-Class Open Set Classification ZY Ge, S Demyanov, Z Chen, R Garnavi (BMVC2017) arXiv preprint arXiv:1707.07418, 2017 | 28 | 2017 |
| Weedmap: a large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming I Sa, M Popović, R Khanna, Z Chen, P Lottes, F Liebisch, J Nieto, ... Remote Sensing 10 (9), 1423, 2018 | 20 | 2018 |
| Autonomous Multisensor Calibration and Closed‐loop Fusion for SLAM A Jacobson, Z Chen, M Milford Journal of Field Robotics 32 (1), 85-122, 2015 | 16 | 2015 |
| Learning context flexible attention model for long-term visual place recognition Z Chen, L Liu, I Sa, Z Ge, M Chli IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018 | 15 | 2018 |
| Learning deep descriptors with scale-aware triplet networks M Keller, Z Chen, F Maffra, P Schmuck, M Chli Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 15 | 2018 |
| Fine-grained bird species recognition via hierarchical subset learning ZY Ge, C McCool, C Sanderson, A Bewley, Z Chen, P Corke 2015 IEEE International Conference on Image Processing (ICIP), 561-565, 2015 | 14 | 2015 |
| Distance metric learning for feature-agnostic place recognition Z Chen, S Lowry, A Jacobson, Z Ge, M Milford 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 14 | 2015 |
| Multi-scale bio-inspired place recognition Z Chen, A Jacobson, UM Erdem, ME Hasselmo, M Milford 2014 IEEE international conference on robotics and automation (ICRA), 1895-1901, 2014 | 14 | 2014 |
| Bio-inspired homogeneous multi-scale place recognition Z Chen, S Lowry, A Jacobson, ME Hasselmo, M Milford Neural Networks 72, 48-61, 2015 | 13 | 2015 |
| RatSLAM: Using models of rodent hippocampus for robot navigation and beyond M Milford, A Jacobson, Z Chen, G Wyeth Robotics Research, 467-485, 2016 | 12 | 2016 |
| tolerant place recognition combining 2D and 3D information for UAV navigation F Maffra, Z Chen, M Chli 2018 IEEE International Conference on Robotics and Automation (ICRA), 2542-2549, 2018 | 8 | 2018 |
| Online place recognition calibration for out-of-the-box SLAM A Jacobson, Z Chen, M Milford 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 8 | 2015 |
| Towards bio-inspired place recognition over multiple spatial scales Z Chen, A Jacobson, U Erdem, ME Hasselmo, M Milford Australasian conference on robotics and automation, 2013 | 6 | 2013 |
| Loop-closure detection in urban scenes for autonomous robot navigation F Maffra, L Teixeira, Z Chen, M Chli 2017 International Conference on 3D Vision (3DV), 356-364, 2017 | 5 | 2017 |
| Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms A Jacobson, Z Chen, M Milford 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 5 | 2013 |
| An approximate representation of heavy-tailed noise: Bi-parameter Cauchy-Gaussian mixture model X Li, Z Chen, S Wang 2008 9th International Conference on Signal Processing, 76-79, 2008 | 5 | 2008 |
Michael MilfordProfessor at Queensland University of Technology (QUT) | ARC Future Fellow | Microsoft Fellow | CIVerified email at qut.edu.au
