Can Peng

44 papers A* 2A 1B 1Misc 3Journal 29Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
HR-SemNet: A High-Resolution Network for Enhanced Small Object Detection With Local Contextual Semantics.
IEEE Trans. Image Process.
Can Peng, Manxin Chao, Ruoyu Li, Zaiqing Chen, Lijun Yun, Yuelong Xia
2026 J jnl
Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography.
CoRR
Yingyu Yang, Qianye Yang, Can Peng, Elena D'Alberti, Olga Patey, Aris T. Papageorghiou, J. Alison Noble
2025 — conf
A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced Congenital Heart Defects Detection.
FIMH (2)
Qianye Yang, Kangning Cui, Yipeng Hu, Can Peng, Netzahualcoyotl Hernandez-Cruz, Rahul Ahuja, Elena D'Alberti, Raymond Chan, Olga Patey, Aris T. Papageorghiou, J. Alison Noble
2025 J jnl
AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting.
CoRR
Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro
2025 A* conf
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics.
CVPR
Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2025 J jnl
Federated Continual 3D Segmentation With Single-round Communication.
CoRR
Can Peng, Qianhui Men, Pramit Saha, Qianye Yang, Cheng Ouyang, J. Alison Noble
2025 A conf
Inductive Graph Few-shot Class Incremental Learning.
WSDM
Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2025 — conf
Latent Motion Profiling for Annotation-Free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos.
MICCAI (14)
Yingyu Yang, Qianye Yang, Kangning Cui, Can Peng, Elena D'Alberti, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble
2025 J jnl
Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos.
CoRR
Yingyu Yang, Qianye Yang, Kangning Cui, Can Peng, Elena D'Alberti, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble
2025 J jnl
Levitation Performance Evolution of HTS Maglev Systems Under Thermally Induced Magnetic Irregularities in Permanent Magnet Guideways.
IEEE Trans. Instrum. Meas.
Can Peng, Xucheng Zhou, Bo Yang, Xiaoning Liu, Zigang Deng
2025 J jnl
Levitation Performance of the High-Temperature Superconducting Scaled-Vehicle Under Magnetic Field Irregularity by Six Degrees of Freedom of Electromagnetic Force-Dynamics Coupling Model.
IEEE Trans. Intell. Transp. Syst.
Wuyang Lei, Can Peng, Peiyu Yin, Yicheng Feng, Zigang Deng
2025 J jnl
Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew.
CoRR
Can Peng, Yuyuan Liu, Yingyu Yang, Pramit Saha, Qianye Yang, J. Alison Noble
2025 J jnl
POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse.
CoRR
Anjie Le, Can Peng, Yuyuan Liu, J. Alison Noble
2025 J jnl
WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation.
CoRR
Mingjie Wu, Chenggui Yang, Huihua Wang, Chen Xue, Yibo Wang, Haoyu Wang, Yansong Wang, Can Peng, Yuqi Han, Ruoyu Li, Lijun Yun, Zaiqing Chen, Songfan Shi, Luhao Fang, Shuyi Wan, Tingfeng Li, Shuangyao Liu, Haotian Feng
2024 J jnl
F
CoRR
Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2024 J jnl
Inductive Graph Few-shot Class Incremental Learning.
CoRR
Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2024 J jnl
Multivariate prototype representation for domain-generalized incremental learning.
Comput. Vis. Image Underst.
Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
2024 Misc conf
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models.
DICTA
Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell
2023 J jnl
DIODE: Dilatable Incremental Object Detection.
Pattern Recognit.
Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
2023 — conf
Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification.
MICCAI (5)
Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell
2023 B conf
End to End Generative Meta Curriculum Learning for Medical Data Augmentation.
ICIP
Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell
2023 J jnl
How does ambidextrous leadership influence technological innovation performance? An empirical study based on high-tech enterprises.
Technol. Anal. Strateg. Manag.
Hong Yang, Can Peng, Gang Du, Bing Xie, Jin S. Cheng
2023 J jnl
Multivariate Prototype Representation for Domain-Generalized Incremental Learning.
CoRR
Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
2022 J jnl
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation.
CoRR
Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell
2022 — conf
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
ECCV (25)
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
2022 J jnl
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
CoRR
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
2022 — —
Incremental learning for object detection
Can Peng
2021 J jnl
DIODE: Dilatable Incremental Object Detection.
CoRR
Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
2021 Misc conf
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.
DICTA
Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell
2021 J jnl
FaceCook: Face Generation Based on Linear Scaling Factors.
CoRR
Tianren Wang, Can Peng, Teng Zhang, Brian C. Lovell
2021 J jnl
Obtaining sustainable competitive advantage through collaborative dual innovation: empirical analysis based on mature enterprises in eastern China.
Technol. Anal. Strateg. Manag.
Ruixue Li, Can Peng, Bonwoo Koo, Ge Zhang, Hong Yang
2021 J jnl
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.
Comput. Vis. Image Underst.
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
2021 J jnl
Scalable Bayesian Deep Learning with Kernel Seed Networks.
CoRR
Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell
2020 J jnl
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN.
CoRR
Can Peng, Kun Zhao, Brian C. Lovell
2020 J jnl
Faster ILOD: Incremental learning for object detectors based on faster RCNN.
Pattern Recognit. Lett.
Can Peng, Kun Zhao, Brian C. Lovell
2020 J jnl
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation.
CoRR
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
2019 — conf
Address Randomization for Dynamic Memory Allocators on the GPU.
HPCC/SmartCity/DSS
Can Peng, Chenlin Huang, Daokun Hu, Bang Di, Jianhua Sun, Hao Chen, Xionghu Zhong
2019 Misc conf
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
DICTA
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
2019 J jnl
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
CoRR
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
2019 J jnl
Unrelated Parallel-Machine Scheduling with Maintenance Activities and Rejection Penalties for Minimizing Total Cost.
Int. J. Autom. Technol.
Xiaona Yang, Can Peng, Lei Jin, Qiangyi Li
2018 J jnl
Accurate Recovery of Internet Traffic Data Under Variable Rate Measurements.
IEEE/ACM Trans. Netw.
Kun Xie, Can Peng, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Zheng Qin
2017 A* conf
Accurate recovery of internet traffic data under dynamic measurements.
INFOCOM
Kun Xie, Can Peng, Xin Wang, Gaogang Xie, Jigang Wen
2015 — conf
14-bit pipeline-SAR ADC for image sensor readout circuits.
IMSE
Gengyun Wang, Can Peng, Tianzhao Liu, Cheng Ma, Ning Ding, Yuchun Chang
2015 — conf
A Consistent Hashing Based Data Redistribution Algorithm.
IScIDE (2)
Xiang Fu, Can Peng, Weihong Han