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2020 – today
- 2024
[j8]Can Peng
, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate prototype representation for domain-generalized incremental learning. Comput. Vis. Image Underst. 249: 104215 (2024)- [i10]Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz:
Inductive Graph Few-shot Class Incremental Learning. CoRR abs/2411.06634 (2024) - 2023
- [j7]Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell:
DIODE: Dilatable Incremental Object Detection. Pattern Recognit. 136: 109244 (2023) - [j6]Hong Yang, Can Peng, Gang Du, Bing Xie, Jin S. Cheng:
How does ambidextrous leadership influence technological innovation performance? An empirical study based on high-tech enterprises. Technol. Anal. Strateg. Manag. 35(6): 737-751 (2023) - [c9]Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell:
End to End Generative Meta Curriculum Learning for Medical Data Augmentation. ICIP 2023: 2155-2159 - [c8]Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell:
Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification. MICCAI (5) 2023: 747-757 - [i9]Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR abs/2309.13563 (2023) - 2022
- [b1]Can Peng:
Incremental learning for object detection. University of Queensland, Australia, 2022 - [c7]Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell:
Few-Shot Class-Incremental Learning from an Open-Set Perspective. ECCV (25) 2022: 382-397 - [i8]Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell:
Few-Shot Class-Incremental Learning from an Open-Set Perspective. CoRR abs/2208.00147 (2022) - [i7]Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell:
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation. CoRR abs/2212.09977 (2022) - 2021
- [j5]Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell:
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. Comput. Vis. Image Underst. 210: 103229 (2021) - [j4]Ruixue Li, Can Peng, Bonwoo Koo, Ge Zhang, Hong Yang:
Obtaining sustainable competitive advantage through collaborative dual innovation: empirical analysis based on mature enterprises in eastern China. Technol. Anal. Strateg. Manag. 33(6): 685-699 (2021) - [c6]Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell:
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting. DICTA 2021: 1-7 - [i6]Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell:
Scalable Bayesian Deep Learning with Kernel Seed Networks. CoRR abs/2104.09005 (2021) - [i5]Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell:
DIODE: Dilatable Incremental Object Detection. CoRR abs/2108.05627 (2021) - [i4]Tianren Wang, Can Peng, Teng Zhang, Brian C. Lovell:
FaceCook: Face Generation Based on Linear Scaling Factors. CoRR abs/2109.03492 (2021) - 2020
- [j3]Can Peng, Kun Zhao, Brian C. Lovell:
Faster ILOD: Incremental learning for object detectors based on faster RCNN. Pattern Recognit. Lett. 140: 109-115 (2020) - [i3]Can Peng, Kun Zhao, Brian C. Lovell:
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN. CoRR abs/2003.03901 (2020) - [i2]Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell:
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation. CoRR abs/2012.15439 (2020)
2010 – 2019
- 2019
- [j2]Xiaona Yang, Can Peng, Lei Jin, Qiangyi Li:
Unrelated Parallel-Machine Scheduling with Maintenance Activities and Rejection Penalties for Minimizing Total Cost. Int. J. Autom. Technol. 13(6): 787-795 (2019) - [c5]Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell:
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? DICTA 2019: 1-8 - [c4]Can Peng, Chenlin Huang, Daokun Hu, Bang Di, Jianhua Sun, Hao Chen, Xionghu Zhong:
Address Randomization for Dynamic Memory Allocators on the GPU. HPCC/SmartCity/DSS 2019: 570-577 - [i1]Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell:
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? CoRR abs/1909.09945 (2019) - 2018
- [j1]Kun Xie, Can Peng, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Zheng Qin:
Accurate Recovery of Internet Traffic Data Under Variable Rate Measurements. IEEE/ACM Trans. Netw. 26(3): 1137-1150 (2018) - 2017
- [c3]Kun Xie, Can Peng, Xin Wang, Gaogang Xie, Jigang Wen:
Accurate recovery of internet traffic data under dynamic measurements. INFOCOM 2017: 1-9 - 2015
- [c2]Gengyun Wang, Can Peng, Tianzhao Liu, Cheng Ma, Ning Ding, Yuchun Chang:
14-bit pipeline-SAR ADC for image sensor readout circuits. IMSE 2015: 94030L - [c1]Xiang Fu, Can Peng, Weihong Han:
A Consistent Hashing Based Data Redistribution Algorithm. IScIDE (2) 2015: 559-566
Coauthor Index
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