Yunchao Gu

According to our database1, Yunchao Gu authored at least 12 papers between 2019 and 2025.

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

Timeline

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Links

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Bibliography

2025
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.
Medical Image Anal., 2025

2023
Highly Efficient Anchor-Free Oriented Small Object Detection for Remote Sensing Images via Periodic Pseudo-Domain.
Remote. Sens., August, 2023

2022
SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial Imagery.
IEEE Geosci. Remote. Sens. Lett., 2022

Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

Lane Detection Transformer Based on Multi-frame Horizontal and Vertical Attention and Visual Transformer Module.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Effective methods of diabetic retinopathy detection based on deep convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2021

Diabetic Retinopathy Detection Based on Weakly Supervised Object Localization and Knowledge Driven Attribute Mining.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

SOLOLaneNet: Instance Segmentation-Based Lane Detection Method using Locations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Diabetic Retinopathy Grading Base on Contrastive Learning and Semi-supervised Learning.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

SCSF-Net: Single Class Scale Fixed Network for Object Detection in Optical Remote Sensing Images on Limited Hardware.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

FedACS: an Efficient Federated Learning Method Among Multiple Medical Institutions with Adaptive Client Sampling.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2019
Application of Computer Vision and Deep Learning in Breast Cancer Assisted Diagnosis.
Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, 2019


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