Faster ilod: Incremental learning for object detectors based on faster rcnn C Peng, K Zhao, BC Lovell
Pattern recognition letters 140, 109-115, 2020
125 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
89 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
50 2021 Diode: Dilatable incremental object detection C Peng, K Zhao, S Maksoud, T Wang, BC Lovell
Pattern Recognition 136, 109244, 2023
11 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
9 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
8 2021 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
4 2023 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
3 2023 Multivariate prototype representation for domain-generalized incremental learning C Peng, P Koniusz, K Guo, BC Lovell, P Moghadam
Computer Vision and Image Understanding, 104215, 2024
2 2024 Conditioned generative transformers for histopathology image synthetic augmentation M Li, C Li, C Peng, B Lovell
arXiv preprint arXiv:2212.09977, 2022
2 2022 Inductive Graph Few-shot Class Incremental Learning Y Li, P Moghadam, C Peng, N Ye, P Koniusz
arXiv preprint arXiv:2411.06634, 2024
1 2024 Scalable Bayesian Deep Learning with Kernel Seed Networks S Maksoud, K Zhao, C Peng, BC Lovell
arXiv preprint arXiv:2104.09005, 2021
1 2021 F P Saha, F Wagner, D Mishra, C Peng, A Thakur, D Clifton, K Kamnitsas, ...
arXiv preprint arXiv:2411.11912, 2024
2024 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 
Brian C. LovellProfessor, The University of QueenslandAdresse e-mail validée de itee.uq.edu.au