Canqian Yang

Orcid: 0000-0001-8207-2291

According to our database1, Canqian Yang authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Hierarchical multiple proxy loss for deep metric learning.
Digit. Signal Process., March, 2023

Lightweight Network Towards Real-Time Image Denoising On Mobile Devices.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022

MFDNet: Towards Real-time Image Denoising On Mobile Devices.
CoRR, 2022

Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis.
CoRR, 2022

Self Supervised Lesion Recognition for Breast Ultrasound Diagnosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement.
Proceedings of the Computer Vision - ECCV 2022, 2022

Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Reinventing 2D Convolutions for 3D Images.
IEEE J. Biomed. Health Informatics, 2021

Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection.
Neurocomputing, 2021

Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019
Reinventing 2D Convolutions for 3D Medical Images.
CoRR, 2019


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