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Can Peng
Observed name:
Peng, Can
Institution:
University of Oxford
Observed institutions:
Commonwealth Scientific and Industrial Research Organisation,
National Institutes of Health,
The University of Queensland,
University of Oxford,
National Institutes of Health Clinical Center,
Data61
show all 6
ORCID:
0000-0003-1673-2460
Observed ORCID:
0000-0003-1673-2460
OpenAlex ID:
A5083735851
Faster ILOD: Incremental learning for object detectors based on faster RCNN
2020
·
Can Peng
, Kun Zhao
, et al.
·
Pattern Recognition Letters
·
147
PDF
Few-Shot Class-Incremental Learning from an Open-Set Perspective
2022
·
Can Peng
, Kun Zhao
, et al.
·
Lecture notes in computer science
·
120
PDF
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation
2021
·
Can Peng
, Kun Zhao
, et al.
·
Computer Vision and Image Understanding
·
57
PDF
DIODE: Dilatable Incremental Object Detection
2022
·
Can Peng
, Kun Zhao
, et al.
·
Pattern Recognition
·
16
PDF
Incremental learning for object detection
2022
·
Can Peng
·
The University of Queensland
·
11
Latent Motion Profiling for Annotation-Free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
2025
·
Yingyu Yang
, Qianye Yang
, et al.
·
Lecture notes in computer science
·
10
PDF
Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification
2023
·
Chaoyi Li
, Meng Li
, et al.
·
Lecture notes in computer science
·
10
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
2019
·
Can Peng
, Kun Zhao
, et al.
·
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
·
10
PDF
F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
2025
·
Pramit Saha
, Felix Wagner
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
9
PDF
Inductive Graph Few-shot Class Incremental Learning
2025
·
Yayong Li
, Peyman Moghadam
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
8
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting
2021
·
Meng Li
, Kun Zhao
, et al.
·
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
·
8
POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse
2025
·
Le, Anjie
, Peng, Can
, et al.
·
arXiv (Cornell University)
·
5
PDF
Multivariate prototype representation for domain-generalized incremental learning
2024
·
Can Peng
, Piotr Koniusz
, et al.
·
Computer Vision and Image Understanding
·
5
End to End Generative Meta Curriculum Learning for Medical Data Augmentation
2023
·
Meng Li
, Chaoyi Li
, et al.
·
Proceedings - International Conference on Image Processing
·
5
PDF
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
2022
·
Li, Meng
, Li, Chaoyi
, et al.
·
arXiv (Cornell University)
·
4
PDF
AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting
2025
·
Liu, Yuyuan
, Chen, Yuanhong
, et al.
·
arXiv (Cornell University)
·
3
PDF
Orientation-robust latent motion trajectory learning for annotation-free cardiac phase detection in fetal echocardiography
2026
·
Yingyu Yang
, Qianye Yang
, et al.
·
Medical Image Analysis
·
2
Neural Collapse-Inspired Multi-label Federated Learning Under Label-Distribution Skew
2026
·
Can Peng
, Yuyuan Liu
, et al.
·
Lecture notes in computer science
·
2
PDF
From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding
2026
·
Liu, Yuyuan
, Ji, Yiping
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced Congenital Heart Defects Detection
2025
·
Qianye Yang
, Kangning Cui
, et al.
·
Lecture notes in computer science
·
1
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
2024
·
Meng Li
, Chaoyi Li
, et al.
·
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
·
1
Scalable Bayesian Deep Learning with Kernel Seed Networks
2021
·
Maksoud, Sam
, Zhao, Kun
, et al.
·
arXiv (Cornell University)
·
1
PDF
Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration
2026
·
Qianye Yang
, Yingyu Yang
, et al.
·
Lecture notes in computer science
Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography
2026
·
Yingyu Yang
, Qianye Yang
, et al.
·
Lecture notes in computer science
Beyond Raw Context Transfer: Representation-based Federated Retrieval-Augmented Generation
2026
·
Peng, Can
, Liu, Yu
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
36
Citation count:
437
H-index:
9
I10-index:
8
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