Yunchao Gu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Top Venues

Publications

Minghui Wang, Qingpeng Li, Yunchao Gu, Junjun Pan
Highly Efficient Anchor-Free Oriented Small Object Detection for Remote Sensing Images via Periodic Pseudo-Domain. Remote. Sens. 15 (15) (2023)
Renyu Li, Yunchao Gu, Xinliang Wang, Sixu Lu
Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. MIDOG/DRAC@MICCAI (2022)
Minghui Wang, Qingpeng Li, Yunchao Gu, Leyuan Fang, Xiao Xiang Zhu
SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial Imagery. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Han Zhang, Yunchao Gu, Xinliang Wang, Junjun Pan, Minghui Wang
Lane Detection Transformer Based on Multi-frame Horizontal and Vertical Attention and Visual Transformer Module. ECCV (39) (2022)
Yunchao Gu, Xinliang Wang, Junjun Pan, Zhifan Yong, Shihui Guo, Tianze Pan, Yonghong Jiao, Zhong Zhou
Effective methods of diabetic retinopathy detection based on deep convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Xinliang Wang, Yunchao Gu, Junjun Pan, Liyun Jia
Diabetic Retinopathy Detection Based on Weakly Supervised Object Localization and Knowledge Driven Attribute Mining. OMIA@MICCAI (2021)
Minghui Wang, Qingpeng Li, Junjun Pan, Yunchao Gu
SCSF-Net: Single Class Scale Fixed Network for Object Detection in Optical Remote Sensing Images on Limited Hardware. IGARSS (2021)
Han Zhang, Yunchao Gu, Xinliang Wang, Minghui Wang, Junjun Pan
SOLOLaneNet: Instance Segmentation-Based Lane Detection Method using Locations. ITSC (2021)
Yunchao Gu, Xinliang Wang, Junjun Pan, Zhong Zhou
Diabetic Retinopathy Grading Base on Contrastive Learning and Semi-supervised Learning. ISBRA (2021)
Yunchao Gu, Quanquan Hu, Xinliang Wang, Zhong Zhou, Sixu Lu
FedACS: an Efficient Federated Learning Method Among Multiple Medical Institutions with Adaptive Client Sampling. CISP-BMEI (2021)
Yunchao Gu, Yang Jiayao
Application of Computer Vision and Deep Learning in Breast Cancer Assisted Diagnosis. ICMLSC (2019)