Yuanhao Guo

According to our database, Yuanhao Guo authored at least 18 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection.

Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo

IEEE Trans. Multim., 2022

Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks.

Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang

CoRR, 2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2022

Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations.

Yuanhao Guo, Yaoru Luo, Wenjing Li, Ge Yang

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation.

Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks.

Yaoru Luo, Yuanhao Guo, Wenjing Li, Guole Liu, Ge Yang

Dataset, June, 2021

Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images.

Yaoru Luo, Guole Liu, Wenjing Li, Yuanhao Guo, Ge Yang

CoRR, 2021

Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features.

Yuanhao Guo, Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Wenjing Li, Ge Yang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy.

Junbo Gao, Yuanhao Guo, Yingxue Sun, Guoqiang Qu

Comput. Math. Methods Medicine, 2020

Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion.

Yuanhao Guo, Fons J. Verbeek, Ge Yang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

An efficient and robust hybrid method for segmentation of zebrafish objects from bright-field microscope images.

Yuanhao Guo, Zhan Xiong, Fons J. Verbeek

Mach. Vis. Appl., 2018

Image capture pattern optimization for panoramic photography.

Yuanhao Guo, Rongkai Zhao, Song Wu, Chao Wang

Multim. Tools Appl., 2018

CNN-RNN: a large-scale hierarchical image classification framework.

Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew

Multim. Tools Appl., 2018

2017

A Two-Phase 3-D Reconstruction Approach for Light Microscopy Axial-View Imaging.

Yuanhao Guo, Yunpeng Zhang, Fons J. Verbeek

IEEE J. Sel. Top. Signal Process., 2017

Multi-modal 3d reconstruction and measurements of zebrafish larvae and its organs using axial-view microscopy.

Yuanhao Guo, Hermes A. J. Spaink, E. H. J. Krekels, Herman P. Spaink, Piet H. Van Der Graaf, Fons J. Verbeek

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Fluorescence and bright-field 3D image fusion based on sinogram unification for optical projection tomography.

Xiaoqin Tang, Merel van't Hoff, Jerry Hoogenboom, Yuanhao Guo, Fuyu Cai, Gerda Lamers, Fons J. Verbeek

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Silhouette-based 3D model for zebrafish high-throughput imaging.

Yuanhao Guo, Wouter J. Veneman, Herman P. Spaink, Fons J. Verbeek

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

2014

Graph-Based Kinship Recognition.

Yuanhao Guo, Hamdi Dibeklioglu, Laurens van der Maaten

Proceedings of the 22nd International Conference on Pattern Recognition, 2014