Qingyu Song

Orcid: 0000-0002-9330-0541

According to our database1, Qingyu Song authored at least 11 papers between 2020 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Vehicle Detection Method for Remote Sensing Images Based on Feature Anti-Interference and Adaptive Residual Attention.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

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

2021
A semi-supervised deep convolutional framework for signet ring cell detection.
Neurocomputing, 2021

Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

To Choose or to Fuse? Scale Selection for Crowd Counting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Fully 3D Cascaded Framework for Pancreas Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Graph Database and Relational Database Performance Comparison on a Transportation Network.
Proceedings of the Advances in Computing and Data Sciences - 4th International Conference, 2020

A Hierarchical Graph Network for 3D Object Detection on Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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