Qing Cai's Space

Qing Cai (Chinese)

Qing Cai is an associate professor in the College of Computer Science and Technology of Ocean University of China. He received the M.S. and Ph.D. degree from the Department of Automation, Northwestern Polytechnical University, in 2016 and 2019, respectively, advised by Prof. Huiying Liu. From Oct. 2017 to Apr. 2018, he was a Visiting Ph.D. Student in the Department of Computing Science at University of Alberta, advised by Prof. Yee-Hong Yang. From May 2018 to Dec. 2018, he was a visiting researcher with the Institute of Artificial Intelligence and Robotics at Xi'an Jiaotong University worked with Prof. Jinjun Wang. From Oct. 2020 to Sep. 2022, he was a postdoc researcher with The Chinese University of Hong Kong at Shenzhen worked with Prof. David Zhang , and also with the University of Science and Technology of China worked with Prof. Feng Wu. From Oct. 2022, he joined in Ocean University of China worked with Prof. Junyu Dong. His research interests include computer vision, deep learning, machine learning, level set method, image segmentation, target tracking, image restoration, image super-resolution, image denoising, medical image processing and underwater image processing.

🎈🎈🎈Prospective students: Please drop me an email if you are interested in internship / M.S. program

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Contact

Affiliation: Faculty of Information Science and Engineering
Email: cq@ouc.edu.cn
Office: A506, Xinxi South Building, 1299 Sansha RD, Qingdao, Shandong 266400

News

• 2024/04/17 One paper was accepted by IJCAI.
• 2024/03/12 One paper was accepted by TCSVT.
• 2024/03/12 One paper was accepted by PR.
• 2023/12/09 Qing Cai won the title of TaiShan Scholars Youth Expert Program of Shandong Province
• 2023/12/09 One paper was accepted by AAAI.
• 2023/11/26 One paper was accepted by ESWA.
• 2023/07/26 One paper was accepted by ACM MM.
• 2023/05/18 One paper was accepted by IEEE TIP.
• 2023/02/24 One paper was accepted by IEEE TNNLS.
• 2022/03/03 One paper was accepted by IEEE TIP.
• 2021/11/24 One paper was accepted by IEEE TIP.
• 2021/11/18 One paper was accepted by IEEE TIP.
• 2021/08/18 Two NSFC Funds were approved.

Projects

[2022-2025] Ocean University of China, ￥300,000, PI New!
[2022-2024] National Science Foundation of China, ￥300,000, PI New! [2024-2026] TaiShan Scholars Youth Expert Program of Shandong Province, ￥750,000, PI New! [2021-2023] National Natural Science Foundation of Shandong Province, ￥140,000, PI
[2023-2024] China Postdoctoral Science Foundation, ￥80,000, PI [2021-2022] China Postdoctoral Science Foundation, ￥80,000, PI
[2023-2024] Qingdao Postdoctoral Innovation Project, ￥100,000, PI
[2022-2025] National Science Foundation of China, ￥600,000, Participant

Selected Publications (Google Scholar)

# Supervised students, * Corresponding author

• Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng*, Herbert Yang and Junyu Dong*. “Spherical Pseudo-cylindrical Representation for Omnidirectional Image Super-Resolution “, 2024, AAAI Conference on Artificial Intelligence (AAAI). (CCF A)New!
• Tiange Zhang, Qing Cai, Feng Gao, Lin Qi, Junyu Dong. “Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting”, 2024, International Joint Conference on Artificial Intelligence (IJCAI). (CCF A)New!
• Xianglong Wang, Eric Rigall, Xifeng An, Zhihao Li, Qing Cai*, Shu Zhang, and Junyu Dong. “A New Benchmark and Low Computational Cost Localization Method for Cephalometric Analysis”, 2024, Pattern Recognition. (CCF B, JCRQ1, IF=8.4)
• Fan Zhang, Huiying Liu, Jinjiang Wang, Jun Lyu, Qing Cai*, Huafeng Li, Junyu Dong, and David Zhang. “Cross co-teaching for semi-supervised medical image segmentation”, 2024, Pattern Recognition. (CCF B, JCRQ1, IF=8.518)
• Shao Xiang Guo, Qing Cai*, Lin Qi and Junyu Dong*. “CLIP-Hand3D: Exploiting 3D Hand Pose Estimation via Context-Aware Prompting”, 2023, ACM International Conference on Multimedia (ACM MM). (CCF A)New!
• Qing Cai,Yiming Qian, Jinxing Li, Jun Lyu*, Yee-Hong Yang, Feng Wu, David Zhang*. “HIPA: Hierarchical Patch Transformer for Single Image Super Resolution”, 2023, IEEE Transactions on Image Processing. (CCF A, JCR Q1, IF=11.041) [PDF] New!
• Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai*, Qi Dou, David Zhang and Jing Qin. “Multi-contrast MRI Super-Resolution via Transformer-empowered Multi-scale Contextual Matching and Aggregation”, 2023, IEEE Transactions on Neural Networks and Learning Systems. (CCF B, JCR Q1, IF=14.255)New!
• Fan Zhang, Huiying Liu, Xiaojun Duan, Binglu Wang, Qing Cai*, Huafeng Li, Junyu Dong, and David Zhang. “DSLSM: Dual-kernel-induced Statistic Level Set Model for Image Segmentation”, 2023,Expert Systems With Applications. ( JCR Q1, IF=8.5)
• Qing Cai, Jinxing Li*, Huafeng Li, Yee-Hong Yang, Feng Wu, David Zhang*. “TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution”, 2022, IEEE Transactions on Image Processing. (CCF A, JCR Q1, IF=11.041) [PDF]
• Fan Zhang#, Huiying Liu, Chuanshuo Cao, Qing Cai*, David Zhang. “RVLSM: Robust Variational Level Set Method for Image Segmentation with Intensity Inhomogeneity and High Noise”, 2022, Information Sciences. (CCF B, JCR Q1, IF=8.233) [PDF]
• Xinyu Lin#, Qing Cai*, Huafeng Li. “Hierarchical Complementary Residual Attention Learning for Defocus Blur Detection”, 2022, Neurocomputing. (JCR Q1, IF=5.779) [PDF]
• Qing Cai, Yiming Qian, Sanping Zhou, Jinxing Li*, Yee-Hong Yang, Feng Wu, David Zhang*. “AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise”, 2021, IEEE Transactions on Image Processing. (CCF A, JCR Q1, IF=11.041) [PDF]
• Qing Cai*, Huiying Liu, Yiming Qian, Sanping Zhou, Xiaojun Duan, Yee-Hong Yang. “A Novel Hybrid Level Set Model for Non-Rigid Object Contour Tracking”, 2021, IEEE Transactions on Image Processing. (CCF A, JCR Q1, IF=11.041) [PDF]
• Qing Cai*, Huiying Liu, Yiming Qian, Sanping Zhou, Jinjun Wang, Yee-Hong Yang. “Saliency-Guided Level Set Model for Automatic Object Segmentation”, 2019, Pattern Recognition. (CCF B, JCR Q1, IF=8.518) [PDF]
• Qing Cai*, Huiying Liu, Sanping Zhou, Jingfeng Sun, Jing Li. “An Adaptive-Scale Active Contour Model for Inhomogeneous Image Segmentation and Bias Feld Estimation”, 2018, Pattern Recognition. (CCF B, JCR Q1, IF=8.518) [PDF]

Public Service

• Reviewer of National Natural Science Foundation of China
• Member of China Computer Federation (CCF)
• Member of Chinese Association for Artificial Intelligence (CAAI)
• Reviewer: AAAI2023, CVPR2022, ECCV2022, ICCV2021, IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Electronics, Pattern Recognition, Applied Mathematical Modelling.

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Update: 2023/02