Can Peng

According to our database, Can Peng authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multivariate prototype representation for domain-generalized incremental learning.

Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam

Comput. Vis. Image Underst., 2024

Inductive Graph Few-shot Class Incremental Learning.

Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz

CoRR, 2024

2023

How does ambidextrous leadership influence technological innovation performance? An empirical study based on high-tech enterprises.

Hong Yang, Can Peng, Gang Du, Bing Xie, Jin S. Cheng

Technol. Anal. Strateg. Manag., June, 2023

DIODE: Dilatable Incremental Object Detection.

Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell

Pattern Recognit., April, 2023

Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification.

Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

End to End Generative Meta Curriculum Learning for Medical Data Augmentation.

Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Incremental learning for object detection

Can Peng

PhD thesis, 2022

Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation.

Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell

CoRR, 2022

Few-Shot Class-Incremental Learning from an Open-Set Perspective.

Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Obtaining sustainable competitive advantage through collaborative dual innovation: empirical analysis based on mature enterprises in eastern China.

Ruixue Li, Can Peng, Bonwoo Koo, Ge Zhang, Hong Yang

Technol. Anal. Strateg. Manag., 2021

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.

Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell

Comput. Vis. Image Underst., 2021

FaceCook: Face Generation Based on Linear Scaling Factors.

Tianren Wang, Can Peng, Teng Zhang, Brian C. Lovell

CoRR, 2021

Scalable Bayesian Deep Learning with Kernel Seed Networks.

Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell

CoRR, 2021

Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.

Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Faster ILOD: Incremental learning for object detectors based on faster RCNN.

Can Peng, Kun Zhao, Brian C. Lovell

Pattern Recognit. Lett., 2020

2019

Unrelated Parallel-Machine Scheduling with Maintenance Activities and Rejection Penalties for Minimizing Total Cost.

Xiaona Yang, Can Peng, Lei Jin, Qiangyi Li

Int. J. Autom. Technol., 2019

Address Randomization for Dynamic Memory Allocators on the GPU.

Can Peng, Chenlin Huang, Daokun Hu, Bang Di, Jianhua Sun, Hao Chen, Xionghu Zhong

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?

Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018

Accurate Recovery of Internet Traffic Data Under Variable Rate Measurements.

Kun Xie, Can Peng, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Zheng Qin

IEEE/ACM Trans. Netw., 2018

2017

Accurate recovery of internet traffic data under dynamic measurements.

Kun Xie, Can Peng, Xin Wang, Gaogang Xie, Jigang Wen

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2015

A Consistent Hashing Based Data Redistribution Algorithm.

Xiang Fu, Can Peng, Weihong Han

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

14-bit pipeline-SAR ADC for image sensor readout circuits.

Gengyun Wang, Can Peng, Tianzhao Liu, Cheng Ma, Ning Ding, Yuchun Chang

Proceedings of the Image Sensors and Imaging Systems 2015, 2015