| Faster ilod: Incremental learning for object detectors based on faster rcnn C Peng, K Zhao, BC Lovell Pattern recognition letters 140, 109-115, 2020 | 174 | 2020 |
| Few-shot class-incremental learning from an open-set perspective C Peng, K Zhao, T Wang, M Li, BC Lovell European Conference on Computer Vision, 382-397, 2022 | 173 | 2022 |
| Sid: Incremental learning for anchor-free object detection via selective and inter-related distillation C Peng, K Zhao, S Maksoud, M Li, BC Lovell Computer vision and image understanding 210, 103229, 2021 | 79 | 2021 |
| Deep instance-level hard negative mining model for histopathology images M Li, L Wu, A Wiliem, K Zhao, T Zhang, B Lovell International conference on medical image computing and computer-assisted …, 2019 | 48 | 2019 |
| Sos: Selective objective switch for rapid immunofluorescence whole slide image classification S Maksoud, K Zhao, P Hobson, A Jennings, BC Lovell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 38 | 2020 |
| Omni-supervised joint detection and pose estimation for wild animals T Zhang, L Liu, K Zhao, A Wiliem, G Hemson, B Lovell Pattern Recognition Letters 132, 84-90, 2020 | 24 | 2020 |
| Efficient clustering on Riemannian manifolds: A kernelised random projection approach K Zhao, A Alavi, A Wiliem, BC Lovell Pattern Recognition 51, 333-345, 2016 | 24 | 2016 |
| Random projections on manifolds of symmetric positive definite matrices for image classification A Alavi, A Wiliem, K Zhao, BC Lovell, C Sanderson IEEE Winter Conference on Applications of Computer Vision, 301-308, 2014 | 21 | 2014 |
| Coral8: Concurrent object regression for area localization in medical image panels S Maksoud, A Wiliem, K Zhao, T Zhang, L Wu, B Lovell International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 17 | 2019 |
| Diode: dilatable incremental object detection C Peng, K Zhao, S Maksoud, T Wang, BC Lovell Pattern Recognition 136, 109244, 2023 | 16 | 2023 |
| Convex class model on symmetric positive definite manifolds K Zhao, A Wiliem, S Chen, BC Lovell Image and Vision Computing 87, 57-67, 2019 | 16 | 2019 |
| Deep inspection: An electrical distribution pole parts study via deep neural networks L Liu, T Zhang, K Zhao, A Wiliem, K Astin-Walmsley, B Lovell 2019 IEEE International Conference on Image Processing (ICIP), 4170-4174, 2019 | 14 | 2019 |
| Slidenet: Fast and accurate slide quality assessment based on deep neural networks T Zhang, J Carvajal, DF Smith, K Zhao, A Wiliem, P Hobson, A Jennings, ... 2018 24th International Conference on Pattern Recognition (ICPR), 2314-2319, 2018 | 14 | 2018 |
| An early experience toward developing computer aided diagnosis for gram-stained smears images J Carvajal, DF Smith, K Zhao, A Wiliem, P Finucane, P Hobson, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 14 | 2017 |
| To what extent does downsampling, compression, and data scarcity impact renal image analysis? C Peng, K Zhao, A Wiliem, T Zhang, P Hobson, A Jennings, BC Lovell 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019 | 13 | 2019 |
| Deep adaptive few example learning for microscopy image cell counting M Li, K Zhao, C Peng, P Hobson, T Jennings, BC Lovell 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2021 | 11 | 2021 |
| Artificial intelligence for basal cell carcinoma: diagnosis and distinction from histological mimics B O'Brien, K Zhao, TA Gibson, DF Smith, D Ryan, J Whitfield, CD Smith, ... Pathology 55 (3), 342-349, 2023 | 9 | 2023 |
| Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition K Zhao, A Wiliem, B Lovell IEEE International Conference on Identity, Security and Behavior Analysis …, 2015 | 9 | 2015 |
| DGDI: a dataset for detecting glomeruli on renal direct immunofluorescence K Zhao, YJJ Tang, T Zhang, J Carvajal, DF Smith, A Wiliem, P Hobson, ... 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2018 | 8 | 2018 |
| Determining the best attributes for surveillance video keywords generation L Liu, A Wiliem, S Chen, K Zhao, BC Lovell 2016 IEEE International Conference on Identity, Security and Behavior …, 2016 | 8 | 2016 |
Brian C. LovellProfessor, The University of QueenslandVerified email at itee.uq.edu.au
