Qing Liu
Contact Information
Office: TS325 Voice: +358-417 922 301
Center for Machine Vision and Signal Analysis E-mail: qing.liu@oulu.fi
University of Oulu, Finland
Work Experience
Feb. 2024 -, Docent (Adjunct Professor), University of Oulu, Finland
Sep. 2023 -, Academy Research Fellow, University of Oulu, Finland
Oct. 2022 - Aug. 2023, Associate Professor, Central South University, China
Sep. 2019 - Sep. 2022, Lecturer, Central South University, China
Jul. 2017 - Jun. 2019, Postdoc researcher, Central South University, China
Research Interests
Computer Vision, Medical Image Analysis
Professional Activities
Associate editor: Image and Vision Computing (Jul. 2023-)
Area chairs: ICASSP2024
Session chairs: ICASSP2024, ICASSP2023
Publication chairs: ICIPMC 2024
Conference special session co-organiser: ICASSP2024 Special Session on Learning with Incomplete Medical Data (please see details here )
Group Members
PhD students
Ali Salar on face adversarial attack (2024, co-supervise with Prof. Guoying Zhao)
Boyi Zheng on partially supervised retinal image analysis and disease detection (2024, primary supervisor)
Master students
Sabin Bhatta on CLIP-guided lesion segmentation and diabetic retinopathy grading with retina images (University of Oulu, 2024.02-2024.10, co-supervise with Prof. Guoying Zhao)
Yufan Liu on incremental learning (Central South University, 2022.09-2025.05)
Yichen Hu on multi-modal retinal image analysis (Central South University, 2023.09-2026.05)
Teaching
521153S-3004 Deep Learning - Fall 2023 (together with Dr. Jukka Komulainen)
Education Experience
Sep. 2011 – May 2017 Central South University, Computer Application Technology, PhD
Sep. 2007 – Jun. 2011 Central South University, Computer Science and Technology, B.Eng
Research Experience
Computer Vision and Virtual Reality Lab, Central South University PhD student(supervisor: Prof. Beiji Zou) Sep. 2011 – Jun. 2017
Machine Vision and Signal Analysis, University of Oulu, Finland Visiting Student (Supervisor: Prof. Guoying Zhao) Oct. 2015 – Apr. 2017
Grants
Academy Research Fellow Grant, Academy of Finland, Sep. 2023 - Aug. 2027, 585 522 euros
Project Title: Towards reading retinal fundus images for real-world clinical applications
DigiHealth Visitor Program Grant from University of Oulu, Finland, Feb. 2022 – Jun. 2023, about 4000 euros
Host: Prof. Guoying Zhao
Enterprise Cooperation Project, 500 000 CNY
Project Title: Key algorithm development in automated analysis system toward chromosome karyotype images
Hunan Provincial Natural Science Foundation of China (2021JJ40788), Jan. 2021 - Dec. 2023, 50 000 CNY
Project Title: Research on Lesion Segmentation from Color Fundus Images and Its Application in Computer-aided Diagnosis for Diabetic Retinopathy
Changsha Municipal Natural Science Foundation (kq2014135), July 2020 - Jun. 2022, 100 000 CNY
Project Title: Research on Fundus Image Analysis Methods for Automated Screening of Diabetic Retinopathy
National Natural Science Foundation of China (NSFC No. 62006249), Jan 2021 - Dec. 2023 , 240 000 CNY
Project Title: Research on Robust Fundus Image Analysis Methods for Computer-aided Diagnosis of Glaucoma
First-class General Financial Grant from China Postdoctoral Science Foundation, Nov. 2017 - Jun. 2019, 80 000 CNY
Project Title: Medical Image Analysis and Its Application on Glaucoma Screening
Graduate Innovation Fund, Central South University, May 2013 - Oct. 2015, 18 000 CNY
Project Title: Research on Higher Order Constraints in Probability Graph Models for Saliency Detection.
Publication List
Yichen Hu, Chao Wang, Weitao Song, Aleksei Tiulpin, Qing Liu. A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method. MICCAI 2024. (I will attend this year's MICCAI and see you in Morocco!)
Ziyuan Ding, Yixiong Liang, Shichao Kan, Qing Liu. HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation. MICCAI 2024.
Qing Liu#, Hailong Zeng#, Zhaodong Sun, Xiaobai Li, Guoying Zhao, Yixiong Liang*. Many Birds, One Stone: Medical Image Segmentation with Multiple Partially Labelled Datasets [J]. Pattern Recognition. 2024. Code.
Lele Lv, Qing Liu, Shichao Kan, Yixiong Liang. Confidence-Aware Contrastive Learning for Semantic Segmentation [C]. ACM Multimedia, 2023.
Haotian Liu, Qing Liu, Yang Liu, Yixiong Liang, Guoying Zhao. Exploring effective knowledge distillation for tiny object detection. IEEE International Conference on Image Processing (ICIP), 2023
Gaojie Li#, Qing Liu#, Haotian Liu, Yixiong Liang*. A Novel Transformer-Based Pipeline for Lung Cytopathological Whole Slide Image Classification. ICASSP 2023.
Liu, Qing#, Haotian Liu#, Wei Ke*, Yixiong Liang*. Automated lesion segmentation in fundus images with many-to-many reassembly of features. 2023. Pattern Recognition. Code
Qing Liu#, Haotian Liu#, Yang Zhao, Yixiong Liang*. Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images. 2022. IEEE Journal of Biomedical and Health Informatics.
Beiji Zou, Hongpu Fu, Zailiang Chen, Qing Liu*. Ground Truth Free Retinal Vessel Segmentation by Learning from Simple Pixels. 2021. IET Image Processing.
Ziwen Xu, Beiji Zou, Qing Liu*. A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment. 2020. https://arxiv.org/abs/2010.13313
Jingyu Du, Beiji Zou, Changlong Chen, Xuzi Wen, Qing Liu*. Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion. 2020. Computer Methods and Programs in Biomedicine. PDF. Code.
Yao Xiang, Jialin Chen, Qing Liu, Yixiong Liang*. Disentangled Representation Learning based Multidomain Stain Normalization for Histological Images. ICIP 2020. (Oral)
Meng Yan#, Qing Liu#, Zhihua Yin, Du Wang, Yixiong Liang*. A Bidirectional Context Propagation Network for Urine Sediment Particle Detection in Microscopic Images. ICASSP 2020. (Oral)
Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang*. A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. ICASSP 2020, arxiv.org/pdf/1911.01648.pdf (Oral)
Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou. DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation. 2019, https://128.84.21.199/pdf/1904.08773.pdf
Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou*. A Spatial-aware Joint Optic Disc and Cup Segmentation Method. 2019. Neurocomputing . PDF
Beiji Zou, Qing Liu, Kejuan Yue et al. Saliency based Optic Disc Segmentation. 2019. Chinese Journal of Electronics.
Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Guoying Zhao. Hierarchical Contour Closure based Holistic Salient Object Detection. 2017. IEEE Transaction on Image Processing. Project
Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen, Guoying Zhao. 2017. A Location-to-Segmentation Strategy for Automatic Exudate Segmentation in Colour Retinal Fundus Images. 2017. Computerized Medical Imaging and Graphics. PDF
Qing Liu, Beiji Zou, Jie Chen, Zailiang Chen, Chengzhang Zhu, Kejuan Yue, Guoying Zhao. Retinal Vessel Segmentation From Simple to Difficult. 2016. MICCAI workshop on OMIA (Oral). PDF
Beiji Zou, Qing Liu, Zailiang Chen, Shijian Liu, Xiaoyun Zhang. Saliency Detection Using Boundary Information. 2016. Multimedia Systems. PDF
Zou Beiji, Qing Liu, Zailiang Chen, Hongpu Fu, Chengzhang Zhu. Surroundedness based multiscale saliency detection. 2015. Journal of Visual Communication and Image Representation.PDF
Qing Liu, Beiji Zou, Zailiang Chen, Hongpu Fu. Color Feature Based Interest Objects Detection. 2013. Journal of Computer-Aided Design & Computer Graphics (in Chinese) .
Patent
Beiji Zou, Qing Liu, Zailiang Chen, Wang Hu, Hongpu Fu. 2015. Saliency Detection Using the Image Boundary Prior and the Connectivity of Region (201510013897.6)
Honors and Awards
Outstanding Graduate of Human Province, 2017
Outstanding Graduate Student Scholarship, Ministry of Education, 2015 (30 000 CNY) & 2012 (20 000 CNY)