| Faster ilod: Incremental learning for object detectors based on faster rcnn C Peng, K Zhao, BC Lovell Pattern recognition letters 140, 109-115, 2020 | 100 | 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 | 55 | 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 | 35 | 2021 |
| 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 | 8 | 2021 |
| Diode: Dilatable incremental object detection C Peng, K Zhao, S Maksoud, T Wang, BC Lovell Pattern Recognition 136, 109244, 2023 | 7 | 2023 |
| 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 | 7 | 2019 |
| End to End Generative Meta Curriculum Learning for Medical Data Augmentation M Li, C Li, C Peng, L Liu, B Lovell 2023 IEEE International Conference on Image Processing (ICIP), 2155-2159, 2023 | 2 | 2023 |
| Conditioned generative transformers for histopathology image synthetic augmentation M Li, C Li, C Peng, B Lovell arXiv preprint arXiv:2212.09977, 2022 | 2 | 2022 |
| Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification C Li, M Li, C Peng, BC Lovell International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Multivariate Prototype Representation for Domain-Generalized Incremental Learning C Peng, P Koniusz, K Guo, BC Lovell, P Moghadam arXiv preprint arXiv:2309.13563, 2023 | 1 | 2023 |
| Incremental learning for object detection C Peng | | 2022 |
| FaceCook: Fast Attribute-Controllable Face Generation Based on Linear Scaling Factors T Wang, C Peng, T Zhang, B Lovell 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | | 2022 |
| FaceCook: Face Generation Based on Linear Scaling Factors T Wang, C Peng, T Zhang, B Lovell arXiv preprint arXiv:2109.03492, 2021 | | 2021 |
| Scalable Bayesian Deep Learning with Kernel Seed Networks S Maksoud, K Zhao, C Peng, BC Lovell arXiv preprint arXiv:2104.09005, 2021 | | 2021 |
Brian C. LovellProfessor, The University of QueenslandDirección de correo verificada de itee.uq.edu.au
