Qingji Guan

According to our database, Qingji Guan authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

MuGE: Multiple Granularity Edge Detection.

Caixia Zhou, Yaping Huang, Mengyang Pu, Qingji Guan, Ruoxi Deng, Haibin Ling

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Hard Knowledge Regularization Method with Probability Difference in Thorax Disease Images.

Qingji Guan, Qinrun Chen, Zhun Zhong, Yaping Huang, Yao Zhao

Knowl. Based Syst., October, 2023

Joint representation and classifier learning for long-tailed image classification.

Qingji Guan, Zhuangzhuang Li, Jiayu Zhang, Yaping Huang, Yao Zhao

Image Vis. Comput., September, 2023

An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels.

Qingji Guan, Qinrun Chen, Yaping Huang

Algorithms, 2023

The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector.

Caixia Zhou, Yaping Huang, Mengyang Pu, Qingji Guan, Li Huang, Haibin Ling

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.

Rumeng Yi, Yaping Huang, Qingji Guan, Mengyang Pu, Runsheng Zhang

IEEE Trans. Image Process., 2022

EDTER: Edge Detection with Transformer.

Mengyang Pu, Yaping Huang, Yuming Liu, Qingji Guan, Haibin Ling

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Chest X-Ray Image Classification with Deep Learning

Qingji Guan

PhD thesis, 2021

Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images.

Qingji Guan, Yaping Huang, Yawei Luo, Ping Liu, Mingliang Xu, Yi Yang

IEEE Trans. Image Process., 2021

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth.

Mengyang Pu, Yaping Huang, Qingji Guan, Haibin Ling

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-Scale Features.

Runsheng Zhang, Yaping Huang, Mengyang Pu, Jian Zhang, Qingji Guan, Qi Zou, Haibin Ling

IEEE Trans. Image Process., 2020

Thorax disease classification with attention guided convolutional neural network.

Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, Yi Yang

Pattern Recognit. Lett., 2020

Multi-label chest X-ray image classification via category-wise residual attention learning.

Qingji Guan, Yaping Huang

Pattern Recognit. Lett., 2020

Looking ahead: Joint small group detection and tracking in crowd scenes.

Qiulin Ma, Qi Zou, Nan Wang, Qingji Guan, Yanting Pei

J. Vis. Commun. Image Represent., 2020

2019

Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image.

Runsheng Zhang, Yaping Huang, Mengyang Pu, Qingji Guan, Jian Zhang, Qi Zou

CoRR, 2019

2018

Making better use of edges for sketch generation.

Xingyuan Zhang, Yaping Huang, Qi Zou, Qingji Guan, Junbo Liu

J. Electronic Imaging, 2018

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification.

Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, Yi Yang

CoRR, 2018

GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation.

Mengyang Pu, Yaping Huang, Qingji Guan, Qi Zou

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018