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2025 Journal Article Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness PredictionGuo, Yiqing, Mokany, Karel, Levick, Shaun R., Yang, Jinyan and Moghadam, Peyman (2025). Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction. IEEE Transactions on Geoscience and Remote Sensing, 63 4403216, 1-1. doi: 10.1109/tgrs.2025.3534654 |
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2024 Journal Article Uncertainty propagation in the internet of thingsPal, Shantanu, Khalifa, Sara, Miller, Dimity, Dedeoglu, Volkan, Dorri, Ali, Ramachandran, Gowri, Moghadam, Peyman, Kusy, Brano and Jurdak, Raja (2024). Uncertainty propagation in the internet of things. Discover Internet of Things, 4 (1) 32. doi: 10.1007/s43926-024-00085-2 |
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2024 Journal Article Multivariate prototype representation for domain-generalized incremental learningPeng, Can, Koniusz, Piotr, Guo, Kaiyu, Lovell, Brian C. and Moghadam, Peyman (2024). Multivariate prototype representation for domain-generalized incremental learning. Computer Vision and Image Understanding, 249 104215, 104215. doi: 10.1016/j.cviu.2024.104215 |
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2024 Journal Article WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environmentsVidanapathirana, Kavisha, Knights, Joshua, Hausler, Stephen, Cox, Mark, Ramezani, Milad, Jooste, Jason, Griffiths, Ethan, Mohamed, Shaheer, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2024). WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. The International Journal of Robotics Research, 44 (4), 532-549. doi: 10.1177/02783649241278369 |
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2024 Journal Article Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE)Anand, Gaurangi, Koniusz, Piotr, Kumar, Anupama, Golding, Lisa A., Morgan, Matthew J. and Moghadam, Peyman (2024). Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE). Journal of Hazardous Materials, 472 134456. doi: 10.1016/j.jhazmat.2024.134456 |
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2023 Journal Article FactoFormer: factorized hyperspectral transformers with self-supervised pre-trainingMohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). FactoFormer: factorized hyperspectral transformers with self-supervised pre-training. IEEE Transactions on Geoscience and Remote Sensing, 62 5501614, 1-1. doi: 10.1109/tgrs.2023.3343392 |
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2023 Journal Article Pose-graph attentional graph neural network for lidar place recognitionRamezani, Milad, Wang, Liang, Knights, Joshua, Li, Zhibin, Pounds, Pauline and Moghadam, Peyman (2023). Pose-graph attentional graph neural network for lidar place recognition. IEEE Robotics and Automation Letters, 9 (2), 1182-1189. doi: 10.1109/lra.2023.3341766 |
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2023 Journal Article GeoAdapt: self-supervised test-time adaptation in LiDAR place recognition using geometric priorsKnights, Joshua, Hausler, Stephen, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). GeoAdapt: self-supervised test-time adaptation in LiDAR place recognition using geometric priors. IEEE Robotics and Automation Letters, PP (99) 3337698, 915-922. doi: 10.1109/lra.2023.3337698 |
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2023 Journal Article CL3: generalization of contrastive loss for lifelong learningRoy, Kaushik, Simon, Christian, Moghadam, Peyman and Harandi, Mehrtash (2023). CL3: generalization of contrastive loss for lifelong learning. Journal of Imaging, 9 (12) 259, 1-16. doi: 10.3390/jimaging9120259 |
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2023 Journal Article Exploiting field dependencies for learning on categorical dataLi, Zhibin, Koniusz, Piotr, Zhang, Lu, Pagendam, Daniel Edward and Moghadam, Peyman (2023). Exploiting field dependencies for learning on categorical data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (11), 13509-13522. doi: 10.1109/tpami.2023.3298028 |
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2023 Journal Article Subspace distillation for continual learningRoy, Kaushik, Simon, Christian, Moghadam, Peyman and Harandi, Mehrtash (2023). Subspace distillation for continual learning. Neural Networks, 167, 65-79. doi: 10.1016/j.neunet.2023.07.047 |
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2023 Journal Article Spectral geometric verification: re-ranking point cloud retrieval for metric localizationVidanapathirana, Kavisha, Moghadam, Peyman, Sridharan, Sridha and Fookes, Clinton (2023). Spectral geometric verification: re-ranking point cloud retrieval for metric localization. IEEE Robotics and Automation Letters, 8 (5), 2494-2501. doi: 10.1109/lra.2023.3255560 |
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2023 Journal Article Plant species richness prediction from DESIS hyperspectral data: a comparison study on feature extraction procedures and regression modelsGuo, Yiqing, Mokany, Karel, Ong, Cindy, Moghadam, Peyman, Ferrier, Simon and Levick, Shaun R. (2023). Plant species richness prediction from DESIS hyperspectral data: a comparison study on feature extraction procedures and regression models. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 120-133. doi: 10.1016/j.isprsjprs.2022.12.028 |
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2022 Journal Article What's in the black box? The false negative mechanisms inside object detectorsMiller, Dimity, Moghadam, Peyman, Cox, Mark, Wildie, Matt and Jurdak, Raja (2022). What's in the black box? The false negative mechanisms inside object detectors. IEEE Robotics and Automation Letters, 7 (3), 1-8. doi: 10.1109/lra.2022.3187831 |
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2022 Journal Article A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and ChallengesBorges, Paulo, Peynot, Thierry, Liang, Sisi, Arain, Bilal, Wildie, Matthew, Minareci, Melih, Lichman, Serge, Samvedi, Garima, Sa, Inkyu, Hudson, Nicolas, Milford, Michael, Moghadam, Peyman and Corke, Peter (2022). A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics, 2 (1), 1567-1627. doi: 10.55417/fr.2022049 |
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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 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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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 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. |
