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2022 Conference Publication Why object detectors fail: investigating the influence of the datasetMiller, Dimity, Goode, Georgia, Bennie, Callum, Moghadam, Peyman and Jurdak, Raja (2022). Why object detectors fail: investigating the influence of the dataset. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, United States, 19-20 June 2022. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/CVPRW56347.2022.00529 |
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2021 Conference Publication Reduction of Feature Contamination for Hyper Spectral Image ClassificationMahendren, Sutharsan, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman and Fookes, Clinton (2021). Reduction of Feature Contamination for Hyper Spectral Image Classification. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD Australia, 29 November - 1 December 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta52665.2021.9647153 |
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2021 Journal Article Elasticity meets continuous-time: map-centric dense 3D LiDAR SLAMPark, Chanoh, Moghadam, Peyman, Williams, Jason, Kim, Soohwan, Sridharan, Sridha and Fookes, Clinton (2021). Elasticity meets continuous-time: map-centric dense 3D LiDAR SLAM. IEEE Transactions on Robotics, 38 (2), 978-997. doi: 10.1109/tro.2021.3096650 |
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2021 Conference Publication Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order PoolingVidanapathirana, Kavisha, Moghadam, Peyman, Harwood, Ben, Zhao, Muming, Sridharan, Sridha and Fookes, Clinton (2021). Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 30 May - 5 June 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/icra48506.2021.9560915 |
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2021 Conference Publication Temporally coherent embeddings for self-supervised video representation learningKnights, Joshua, Harwood, Ben, Ward, Daniel, Vanderkop, Anthony, Mackenzie-Ross, Olivia and Moghadam, Peyman (2021). Temporally coherent embeddings for self-supervised video representation learning. International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 January 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icpr48806.2021.9412071 |
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2021 Journal Article Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAMLowe, Thomas, Moghadam, Peyman, Edwards, Everard and Williams, Jason (2021). Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM. Journal of Field Robotics, 38 (4) rob.22006, 598-618. doi: 10.1002/rob.22006 |
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2021 Conference Publication Point cloud segmentation using sparse temporal local attentionKnights, Joshua, Moghadam, Peyman, Fookes, Clinton and Sridharan, Sridha (2021). Point cloud segmentation using sparse temporal local attention. Australasian Conference on Robotics and Automation (ACRA 2021), Online, 6-8 December 2021. Sydney, NSW, Australia: Australasian Robotics and Automation Association. |
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2020 Conference Publication Multi-species Seagrass Detection and Classification from Underwater ImagesRaine, Scarlett, Marchant, Ross, Moghadam, Peyman, Maire, Frederic, Kettle, Brett and Kusy, Brano (2020). Multi-species Seagrass Detection and Classification from Underwater Images. 2020 Digital Image Computing: Techniques and Applications (DICTA), Melbourne, VIC Australia, 29 November - 2 December 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta51227.2020.9363371 |
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2020 Journal Article Scalable learning for bridging the species gap in image-based plant phenotypingWard, Daniel and Moghadam, Peyman (2020). Scalable learning for bridging the species gap in image-based plant phenotyping. Computer Vision and Image Understanding, 197-198 103009, 103009. doi: 10.1016/j.cviu.2020.103009 |
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2020 Journal Article Spatiotemporal camera-LiDAR calibration: a targetless and structureless approachPark, Chanoh, Moghadam, Peyman, Kim, Soohwan, Sridharan, Sridha and Fookes, Clinton (2020). Spatiotemporal camera-LiDAR calibration: a targetless and structureless approach. IEEE Robotics and Automation Letters, 5 (2) 8968361, 1556-1563. doi: 10.1109/lra.2020.2969164 |
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2020 Conference Publication Digital Twin for the Future of Orchard Production SystemsMoghadam, Peyman, Lowe, Thomas and Edwards, Everard (2020). Digital Twin for the Future of Orchard Production Systems. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036092 |
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2020 Conference Publication Intelligent Systems for Commercial Application in Perennial HorticultureEdwards, Everard and Moghadam, Peyman (2020). Intelligent Systems for Commercial Application in Perennial Horticulture. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036059 |
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2020 Journal Article Thermal infrared imaging can differentiate skin temperature changes associated with intense single leg exercise, but not with delayed onset of muscle sorenessStewart, Ian B., Moghadam, Peyman, Borg, David N., Kung, Terry, Sikka, Pavan and Minett, Geoffrey M. (2020). Thermal infrared imaging can differentiate skin temperature changes associated with intense single leg exercise, but not with delayed onset of muscle soreness. Journal of Sports Science and Medicine, 19 (3), 469-477. |
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2019 Journal Article Robust photogeometric localization over time for map-centric loop closurePark, Chanoh, Kim, Soohwan, Moghadam, Peyman, Guo, Jiadong, Sridharan, Sridha and Fookes, Clinton (2019). Robust photogeometric localization over time for map-centric loop closure. IEEE Robotics and Automation Letters, 4 (2) 8626520, 1768-1775. doi: 10.1109/lra.2019.2895262 |
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2019 Conference Publication Deep leaf segmentation using synthetic dataWard, Daniel, Moghadam, Peyman and Hudson, Nicolas (2019). Deep leaf segmentation using synthetic data. British Machine Vision Conference 2018, BMVC 2018, Newcastle, United Kingdom, 3 - 6 September 2018. BMVA Press. |
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2018 Conference Publication Non-rigid reconstruction with a single moving RGB-D cameraElanattil, Shafeeq, Moghadam, Peyman, Sridharan, Sridha, Fookes, Clinton and Cox, Mark (2018). Non-rigid reconstruction with a single moving RGB-D camera. 24th International Conference on Pattern Recognition (ICPR), Beijing, China, 20-24 August, 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/icpr.2018.8546201 |
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2018 Conference Publication Elastic LiDAR fusion: Dense map-centric continuous-time SLAMPark, Chanoh, Moghadam, Peyman, Kim, Soohwan, Elfes, Alberto, Fookes, Clinton and Sridharan, Sridha (2018). Elastic LiDAR fusion: Dense map-centric continuous-time SLAM. 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, 21-25 May 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/icra.2018.8462915 |
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2018 Conference Publication Skeleton driven non-rigid motion tracking and 3D reconstructionElanattil, Shafeeq, Moghadam, Peyman, Denman, Simon, Sridharan, Sridha and Fookes, Clinton (2018). Skeleton driven non-rigid motion tracking and 3D reconstruction. 2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2018), Canberra, Australia, 10-13 December, 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta.2018.8615797 |
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2017 Conference Publication Plant disease detection using hyperspectral imagingMoghadam, Peyman, Ward, Daniel, Goan, Ethan, Jayawardena, Srimal, Sikka, Pavan and Hernandez, Emili (2017). Plant disease detection using hyperspectral imaging. 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW Australia, 29 November - 1 December 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2017.8227476 |
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2017 Conference Publication Probabilistic surfel fusion for dense LiDAR mappingPark, Chanoh, Kim, Soohwan, Moghadam, Peyman, Fookes, Clinton and Sridharan, Sridha (2017). Probabilistic surfel fusion for dense LiDAR mapping. 16th IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 22-29 October 2017. New York, NY, United States: Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ICCVW.2017.285 |
