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2019 Journal Articles [41]

Human Detection Aided by Deeply Learned Semantic Masks

"X. Wang, C. Shen, H. Li and S. Xu, ""Human Detection Aided by Deeply Learned Semantic Masks,"" in IEEE Transactions on Circuits and Systems for Video Technology. doi: 10.1109/TCSVT.2019.2924912"

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Learning robust, real-time, reactive robotic grasping

Morrison, D., Corke, P., & Leitner, J. (2019). Learning robust, real-time, reactive robotic grasping. The International Journal of Robotics Research, 027836491985906. https://doi.org/10.1177/0278364919859066

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A decade of Australian and New Zealand orthopaedic publications: a bibliometric trend analysis from 2008 to 2018

Churchill, A. W., Malacova, E., Journeaux, S. F., Richardson, M., Crawford, R., & Vickers, M. L. (2019). A decade of Australian and New Zealand orthopaedic publications: a bibliometric trend analysis from 2008 to 2018. International Orthopaedics, 1–10. https://doi.org/10.1007/s00264-019-04359-1

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Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control

Molloy, T. L., Inga, J., Flad, M., Ford, J. J., Perez, T., & Hohmann, S. (n.d.). Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control. https://doi.org/10.1109/TAC.2019.2921835

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Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose

Cerón, A., Prieto, F., & Mejias, L. (2019). Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose. In Path Planning for Autonomous Vehicles [Working Title]. https://doi.org/10.5772/intechopen.86689

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Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration

https://scholar.google.com.au/citations?hl=en&user=yMXs1WcAAAAJ&view_op=list_works&sortby=pubdate#d=gs_md_cita-d&u=%2Fcitations%3Fview_op%3Dview_citation%26hl%3Den%26user%3DyMXs1WcAAAAJ%26sortby%3Dpubdate%26citation_for_view%3DyMXs1WcAAAAJ%3AIUKN3-7HHlwC%26tzom%3D-600

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One shot segmentation: unifying rigid detection and non-rigid segmentation using elastic regularization

Nascimento, J. C., & Carneiro, G. (n.d.). ONE SHOT SEGMENTATION: UNIFYING RIGID DETECTION AND NON-RIGID SEGMENTATION USING ELASTIC REGULARIZATION 1 One shot segmentation: unifying rigid detection and non-rigid segmentation using elastic regularization. Retrieved from https://cs.adelaide.edu.au/~carneiro/publications/PAMI-TPS-LAST-VERSION.pdf

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Deep domain adaptation for anti-spoofing in speaker verification systems

Himawan, I., Villavicencio, F., Sridharan, S., & Fookes, C. (2019). Deep domain adaptation for anti-spoofing in speaker verification systems. Computer Speech & Language. https://doi.org/10.1016/J.CSL.2019.05.007

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Practical optimal registration of terrestrial LiDAR scan pairs

Cai, Z., Chin, T.-J., Bustos, A. P., & Schindler, K. (2019). Practical optimal registration of terrestrial LiDAR scan pairs. ISPRS Journal of Photogrammetry and Remote Sensing, 147, 118–131. https://doi.org/10.1016/j.isprsjprs.2018.11.016

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Accelerated Guided Sampling for Multistructure Model Fitting

"T. Lai, H. Wang, Y. Yan, T. Chin, J. Zheng and B. Li, ""Accelerated Guided Sampling for Multistructure Model Fitting,"" in IEEE Transactions on Cybernetics. doi: 10.1109/TCYB.2018.2889908"

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RefineNet: Multi-Path Refinement Networks for Dense Prediction

"G. Lin, F. Liu, A. Milan, C. Shen and I. Reid, ""RefineNet: Multi-Path Refinement Networks for Dense Prediction,"" in IEEE Transactions on Pattern Analysis and Machine Intelligence. doi: 10.1109/TPAMI.2019.2893630"

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Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss

"P. Zhang, W. Liu, H. Lu and C. Shen, ""Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss,"" in IEEE Transactions on Image Processing. doi: 10.1109/TIP.2019.2893535"

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Attention Residual Learning for Skin Lesion Classification

"J. Zhang, Y. Xie, Y. Xia and C. Shen, ""Attention Residual Learning for Skin Lesion Classification,"" in IEEE Transactions on Medical Imaging. doi: 10.1109/TMI.2019.2893944"

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Cardiovascular Diseases

Verjans J., Veldhuis W.B., Carneiro G., Wolterink J.M., Išgum I., Leiner T. (2019) Cardiovascular Diseases. In: Ranschaert E., Morozov S., Algra P. (eds) Artificial Intelligence in Medical Imaging. Springer, Cham

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Using Digital Visualization of Archival Sources to Enhance Archaeological Interpretation of the ‘Life History’ of Ships: The Case Study of HMCS/HMAS Protector

Hunter J., Jateff E., van den Hengel A. (2019) Using Digital Visualization of Archival Sources to Enhance Archaeological Interpretation of the ‘Life History’ of Ships: The Case Study of HMCS/HMAS Protector. In: McCarthy J., Benjamin J., Winton T., van Duivenvoorde W. (eds) 3D Recording and Interpretation for Maritime Archaeology. Coastal Research Library, vol 31. Springer, Cham

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Learning Distilled Graph for Large-scale Social Network Data Clusterin

W. Liu, D. Gong, M. Tan, Q. Shi, Y. Yang and A. G. Hauptmann, ""Learning Distilled Graph for Large-scale Social Network Data Clustering,"" in IEEE Transactions on Knowledge and Data Engineering. doi: 10.1109/TKDE.2019.2904068

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Robust Foreground Segmentationand Image Registration for Optical Detection of GEO Objects

Do, H.N., Chin, T-J., Moretti, N., Jah, M.K., Tetlow, M., Robust Foreground Segmentationand Image Registration for Optical Detection of GEO Objects, Advances in Space Research (2019), doi: https://doi.org/10.1016/j.asr.2019.03.008

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Accurate Imagery Recovery Using a Multi-Observation Patch Model

Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang, Accurate imagery recovery using a multi-observation patch model, Information Sciences, 2019, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2019.03.033.

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Heritage image annotation via collective knowledge

Zhang, J., Wu, Q., Zhang, J., Shen, C., Lu, J., & Wu, Q. (2019). Heritage image annotation via collective knowledge. Pattern Recognition. https://doi.org/10.1016/j.patcog.2019.04.017

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Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks

Huang, W., Fan, L., Harandi, M., Ma, L., Liu, H., Liu, W., & Gan, C. (2019). Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. IEEE Transactions on Image Processing, 28(4), 1773–1782. https://doi.org/10.1109/TIP.2018.2877936

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Online near time-optimal trajectory planning for industrial robots

Kim, J., & Croft, E. A. (2019). Online near time-optimal trajectory planning for industrial robots. Robotics and Computer-Integrated Manufacturing, 58, 158–171. https://doi.org/10.1016/J.RCIM.2019.02.009

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Decoding the Dynamics of Social Identity Threat in the Workplace: A Within-Person Analysis of Women’s and Men’s Interactions in STEM

Hall, W., Schmader, T., Aday, A., & Croft, E. (n.d.). Decoding the Dynamics of Social Identity Threat in the Workplace: A Within-Person Analysis of Women’s and Men’s Interactions in STEM. https://doi.org/10.1177/1948550618772582

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Impacts of Visual Occlusion and Its Resolution in Robot-Mediated Social Collaborations

Radmard, S., Moon, Aj., & Croft, E. A. (2019). Impacts of Visual Occlusion and Its Resolution in Robot-Mediated Social Collaborations. International Journal of Social Robotics, 11(1), 105–121. https://doi.org/10.1007/s12369-018-0480-9

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An Affordance and Distance Minimization Based Method for Computing Object Orientations for Robot Human Handovers

Chan, W. P., Pan, M. K. X. J., Croft, E. A., & Inaba, M. (2019). An Affordance and Distance Minimization Based Method for Computing Object Orientations for Robot Human Handovers. International Journal of Social Robotics, 1–20. https://doi.org/10.1007/s12369-019-00546-7

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Stable Gaussian process based tracking control of Euler–Lagrange systems

Beckers, T., Kulić, D., & Hirche, S. (2019). Stable Gaussian process based tracking control of Euler–Lagrange systems. Automatica, 103, 390–397. https://doi.org/10.1016/J.AUTOMATICA.2019.01.023

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Canny-VO: Visual Odometry with RGB-D Cameras Based on Geometric 3-D-2-D Edge Alignment

Zhou, Y., Li, H., & Kneip, L. (2019). Canny-VO: Visual Odometry with RGB-D Cameras Based on Geometric 3-D-2-D Edge Alignment. In IEEE Transactions on Robotics (Vol. 35, pp. 184–199). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TRO.2018.2875382

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Adversarial spatio-temporal learning for video deblurring

Zhang, K., Luo, W., Zhong, Y., Ma, L., Liu, W., & Li, H. (2019). Adversarial spatio-temporal learning for video deblurring. IEEE Transactions on Image Processing, 28(1), 291–301. https://doi.org/10.1109/TIP.2018.2867733

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Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach

Showiheen, S. A. A., Sun, A. R., Wu, X., Crawford, R., Xiao, Y., Wellard, R. M., & Prasadam, I. (2019). Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach. Current Rheumatology Reports, 21(6), 26. https://doi.org/10.1007/s11926-019-0827-8

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Picking the right robotics challenge

Leitner, J. (2019). Picking the right robotics challenge. Nature Machine Intelligence, 1(3), 162–162. https://doi.org/10.1038/s42256-019-0031-6

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Dense-ArthroSLAM: dense intra-articular 3D reconstruction with robust localization prior for arthroscopy

Marmol, A., Banach, A., & Peynot, T. (2019). Dense-ArthroSLAM: dense intra-articular 3D reconstruction with robust localization prior for arthroscopy. IEEE Robotics and Automation Letters, 4(2), 918–925. https://doi.org/10.1109/LRA.2019.2892199

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Modular field robot deployment for inspection of dilapidated buildings

Cordie, T. P., Bandyopadhyay, T., Roberts, J., Dunbabin, M., Greenop, K., Dungavell, R., & Steindl, R. (2019). Modular field robot deployment for inspection of dilapidated buildings. Journal of Field Robotics, rob.21872. https://doi.org/10.1002/rob.21872

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Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion

Tsai, D., Dansereau, D. G., Peynot, T., & Corke, P. (2019). Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion. IEEE Robotics and Automation Letters, 4(2), 177–184. https://doi.org/10.1109/LRA.2018.2884765

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On the choice of grasp type and location when handing over an object

Cini, F., Ortenzi, V., Corke, P., & Controzzi, M. (2019). On the choice of grasp type and location when handing over an object. Science Robotics, 4(27), eaau9757. https://doi.org/10.1126/scirobotics.aau9757

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Learning to Fuse Multiscale Features for Visual Place Recognition

Mao, J., Hu, X., He, X., Zhang, L., Wu, L., & Milford, M. J. (2019). Learning to Fuse Multiscale Features for Visual Place Recognition. IEEE Access, 7, 5723–5735. https://doi.org/10.1109/ACCESS.2018.2889030

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Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

Hausler, S., Jacobson, A., & Milford, M. (2019). Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods. IEEE Robotics and Automation Letters, 4(2), 1924–1931. https://doi.org/10.1109/LRA.2019.2898427

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Semantic–geometric visual place recognition: a new perspective for reconciling opposing views

Garg, S., Suenderhauf, N., & Milford, M. (2019). Semantic–geometric visual place recognition: a new perspective for reconciling opposing views. The International Journal of Robotics Research, 027836491983976. https://doi.org/10.1177/0278364919839761

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Feature-based recursive observer design for homography estimation and its application to image stabilization

Hua, M.-D., Trumpf, J., Hamel, T., Mahony, R., & Morin, P. (2019). Feature-based recursive observer design for homography estimation and its application to image stabilization. Asian Journal of Control. https://doi.org/10.1002/asjc.2012

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One-step adaptive markov random field for structured compressive sensing

Suwichaya Suwanwimolkul, Lei Zhang, Damith C. Ranasinghe, Qinfeng Shi, One-step adaptive markov random field for structured compressive sensing, Signal Processing, Volume 156, 2019,Pages 116-144, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2018.10.020.

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On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC

Tran, N.-T., Le Tan, D.-K., Doan, A.-D., Do, T.-T., Bui, T.-A., Tan, M., & Cheung, N.-M. (2019). On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Transactions on Image Processing, 28(4), 1675–1690. http://doi.org/10.1109/TIP.2018.2881829

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QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM

Nicholson, L., Milford, M., & Sunderhauf, N. (2019). QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM. IEEE Robotics and Automation Letters, 4(1), 1–8. http://doi.org/10.1109/LRA.2018.2866205

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Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion

Tsai, D., Dansereau, D. G., Peynot, T., & Corke, P. (2019). Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion. IEEE Robotics and Automation Letters, 4(2), 177–184. http://doi.org/10.1109/LRA.2018.2884765

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