邱国平，深圳大学电子与信息工程学院特聘教授、博士生导师、深圳大学智能机器人研究中心主任、珠江领军人才、浙江省和四川省特聘专家。入选美国斯坦福大学全球前2%顶尖科学家榜单，人工智能和图像处理领域全球排名1691位 (前0.8%)。曾在英国多所研究型大学任教二十多年，英国诺丁汉大学计算机科学学院视觉信息处理终身讲座教授。研究兴趣包括计算机视觉、人工智能、机器学习和多媒体信号处理等相关学科领域。在相关国际核心学术期刊和国际学术会议发表论文二百五十多篇、获多项美国和欧洲专利、在国际知名模式识别和图像处理学术大会上获最佳论文奖。基于邱教授团队研究成果创立的高科技公司已成为国际高动态图像及相关摄影技术产品的领导者，在全球二百多个国家拥有上亿用户。主持和参与政府和商业科研项目经费折合超过二千万人民币。担任国际图像处理和模式识别领域重要国际学术期刊副编辑，国际视觉信息处理和多媒体学术会议主席及技术委员会主席。担任欧盟、英国、荷兰、以色列、新加坡和香港政府科研基金评委，以及多家跨国公司的技术顾问，曾任英国诺丁汉大学国际博士创新研究中心主任、中国校区计算机科学学院院长、理工学院院长等行政职务。
Z. Chen, J. Duan, L. Kang andG. Qiu, “Class-Imbalanced Deep Learning via a Class-Balanced Ensemble”, IEEE Transactions on Neural Networks and Learning Systems (IF 8.79), Accepted for publication, April 2021
Liu, F. Zhou, T. Lu, J. Duan andG. Qiu, "Image Defogging Quality Assessment: Real-world Database and Method," in IEEE Transactions on Image Processing, vol. 30, pp. 176-190, 2021 (IF 9.34)
T. Liu, K. -M. Lam, R. Zhao andG. Qiu, "Deep Cross-modal Representation Learning and Distillation for Illumination-invariant Pedestrian Detection," in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2021.3060162, February 2021 (IF 4.13)
Zhi Chen, Jiang Duan, Li Kang,Guoping Qiu, A hybrid data-level ensemble to enable learning from highly imbalanced dataset, Information Sciences, Volume 554, 2021, Pages 157-176 (IF 5.91)
Qing Li, Jiasong Zhu, Rui Cao, Ke Sun, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu,Guoping Qiu, “Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization”, Neurocomputing, Volume 426, 2021, Pages 134-146 (IF 4.44)
Ruitao Xie, Jingxin Liu, Rui Cao, Connor S Qiu, Jiang Duan, Jon Garibaldi,Guoping Qiu, "End-to-End Fovea Localisation in Colour Fundus Images with a Hierarchical Deep Regression Network," in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2020.3023254. (IF 6.68)
F. Zhou, R. Yao, G. Liao, B. Liu andG. Qiu, "Visual Saliency via Embedding Hierarchical Knowledge in a Deep Neural Network," in IEEE Transactions on Image Processing, vol. 29, pp. 8490-8505, 2020. (IF 9.34)
W. Liu, X. Hou, J. Duan andG. Qiu, "End-to-End Single Image Fog Removal Using Enhanced Cycle Consistent Adversarial Networks," in IEEE Transactions on Image Processing, vol. 29, pp. 7819-7833, 2020. (IF 9.34)
Hui Yin, Yuanhao Gong,Guoping Qiu, “Fast and efficient implementation of image filtering using a side window convolutional neural network”, Signal Processing, Volume 176, 2020, 107-717 (IF 4.38)
Kanglin Liu, Qing Li,Guoping Qiu, “PoseGAN: A pose-to-image translation framework for camera localization”, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 166, August 2020, Pages 308-315 (IF 7.32)
Jun Liu, Qing Li, Rui Cao, Wenming Tang,Guoping Qiu, “MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation”, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 166, August 2020, Pages 255-267, ISSN 0924-2716 (IF 7.32)
Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu,Guoping Qiu, “Class-aware domain adaptation for improving adversarial robustness”, Image and Vision Computing, Volume 99, July 2020, 103926 (IF 3.1)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O Ellis, Andy Green, Linlin Shen,Guoping Qiu, "Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification," in IEEE Transactions on Medical Imaging, vol. 39, no. 6, pp. 1930-1941, June 2020 (IF 6.68)
Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li &Guoping Qiu(2020) Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation, International Journal of Geographical Information Science, 34:6, 1210-1234 (IF 3.73)
Kanglin Liu andGuoping Qiu, “Lipschitz constrained GANs via boundedness and continuity”, Neural Computing and Applications, 32:18271–18283 May 2020 (IF 4.77)
Rui Cao, Wei Tu, Cuixin Yang, Qing Li, Jun Liu, Jiasong Zhu, Qian Zhang, Qingquan Li,Guoping Qiu, “Deep learning-based remote and social sensing data fusion for urban region function recognition”, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 163, May 2020, Pages 82-97, ISSN 0924-2716 (IF 7.32)
Jun Liu, Qing Li, Rui Cao, Wenming Tang,Guoping Qiu, “A contextual conditional random field network for monocular depth estimation”, Image and Vision Computing, Volume 98, June 2020, 103922, ISSN 0262-8856 (IF 3.1)
Jie Shu, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu,Guoping Qiu, “Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images”, Bioinformatics, Volume 36, Issue 10, 15 May 2020, Pages 3225–3233 (IF 5.61)
Zhi Chen, Jiang Duan, Cheng Yang, Li Kang,Guoping Qiu, “SMLBoost-adopting a soft-margin like strategy in boosting”, Knowledge-Based Systems, Volume 195, May 2020, 105705, ISSN 0950-7051 (IF 5.1)
Wei Pan, Xuequan Lu, Yuanhao Gong, Wenming Tang, Jun Liu, Ying He,Guoping Qiu, “HLO: Half-kernel Laplacian operator for surface smoothing”, Computer-Aided Design, Volume 121, April 2020, 102807 (IF 3.15)
Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Hao Fu, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu,Guoping Qiu, ”3D map-guided single indoor image localization refinement”, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 161, March 2020, Pages 13-26, ISSN 0924-2716 (IF 7.32)
Rui Cao, Qian Zhang, Jiasong Zhu, Qing Li, Qingquan Li, Bozhi Liu &Guoping Qiu, “Enhancing remote sensing image retrieval using a triplet deep metric learning network”, International Journal of Remote Sensing, February 2020, 41:2, 740-751 (IF 2.97)
F. Zhou, Q. Chen, B. Liu andG. Qiu, "Structure and Texture-Aware Image Decomposition via Training a Neural Network", IEEE Transactions on Image Processing, vol. 29, pp. 3458-3473, 2020. (IF 9.34)
Wei Liu, Rongguo Yao,Guoping Qiu, “A physics based generative adversarial network for single image defogging”, Image and Vision Computing, Volume 92, December 2019, 103815 (IF 3.1)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu,Guoping Qiu, “End-to-End Illuminant Estimation Based on Deep Metric Learning”, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2020, pp. 3616-3625
Luo H., Liao G., Hou X., Liu B., Zhou F.,Qiu G. (2020) VHS to HDTV Video Translation Using Multi-task Adversarial Learning. In: Ro Y. et al. (eds) MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science, vol 11961. Springer, Cham
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi,Guoping Qiu, “Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention”, MICCAI, October 2019, in Lecture Notes in Computer Science, vol 11765. Springer, Cham
Kanglin Liu, Wenming Tang, Fei Zhou,Guoping Qiu; “Spectral Regularization for Combating Mode Collapse in GANs”, The IEEE International Conference on Computer Vision (ICCV), October 2019, pp. 6382-6390
Hui Yin, Yuanhao Gong,Guoping Qiu, “Side window guided filtering”, Signal Processing, Volume 165, December 2019, Pages 315-330 (IF 4.38)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu,Guoping Qiu, “Deep reinforcement learning-based patch selection for illuminant estimation”, Image and Vision Computing, Volume 91, November 2019, 103798, ISSN 0262-8856 (IF 3.1)
X. Hou, K. Sun, L. Shen,G. Qiu“Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training.” Neurocomputing 341 (2019): 183-194. (IF 4.44)
H. Yin, Y. Gong,G. Qiu, “Side Window Filtering.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019: 8758-8766.
F. Zhou, R. Yao, B. Liu,G. Qiu, “Visual Quality Assessment for Super-resolved Images: Database and Method.” IEEE Transactions on Image Processing 28.7 (2019): 3528-3541. (IF 9.34)
J. Liu, B. Xu, C. Zheng, Y. Gong, J. Garibaldi, D. Soria, A. Green, IO. Ellis, W. Zou,G. Qiu, “An end-to-end deep learning histochemical scoring system for breast cancer TMA.” IEEE transactions on medical imaging 38.2 (2019): 617-628. (IF 6.68)
J. Zhu, Q. Li, R. Cao, K. Sun, T. Liu, J. Garibaldi, Q. Li, B. Liu,G. Qiu, “Indoor topological localization using a visual landmark sequence.” Remote Sensing 11.1 (2019): 73. (IF 4.51)
Yangming Zhou,Guoping Qiu, “Random forest for label ranking”, Expert Systems with Applications, Volume 112, December 2018, Pages 99-109, ISSN 0957-4174 (IF 5.45)
J. Zhu, K. Sun, S. Jia, Q. Li, X. Hou, W. Lin, B. Liu,G. Qiu, “Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11.12 (2018): 4968-4981. (IF 3.83)
R. Cao, J. Zhu, W. Tu, Q. Li, J. Cao, B. Liu, Q. Zhang,G. Qiu, “Integrating Aerial and Street View Images for Urban Land Use Classification.” Remote Sensing 10.10 (2018): 1553. (IF 4.51)
L. Zheng, J. Huang andG. Qiu, “Riemannian competitive learning for symmetric positive definite matrices clustering.” Neurocomputing 295 (2018): 153-164. (IF 4.44)
J. Zhu, K. Sun, S. Jia, W. Lin, X. Hou, B. Liu,G. Qiu, “Bidirectional Long Short-Term Memory Network for Vehicle Behavior Recognition.” Remote Sensing 10.6 (2018): 887. (IF 4.51)
X. Hou, J. Zhu, K. Sun, L. Shen,G. Qiu, “Object Specific Deep Feature for Face Detection.” IEICE TRANSACTIONS on Information and Systems 101.5 (2018): 1270-1277. (IF 0.45)
Qian Zhang andGuoping Qiu, “Bundling centre for landmark image discovery”, International Journal of Multimedia Information Retrieval, March 2016, Volume 5, Issue 1, pp. 35-50 (IF 1.24)
Mercedes Torres andGuoping Qiu, “Habitat Image Annotation with Low-Level Features, Medium-Level Knowledge and Location Information”, Multimedia Systems, pp. 1- 16, January 2015 (IF 1.56)
Y. Zhou, Y. Liu, X. Gao andG. Qiu: A label ranking method based on Gaussian mixture model, Knowledge-Based Systems, Volume 72, December 2014, Pages 108–113 (IF 5.1)
Yanqiang Lei,Guoping Qiu, Ligang Zheng, and Jiwu Huang. 2014. Fast Near-Duplicate Image Detection Using Uniform Randomized Trees. ACM Trans. Multimedia Comput. Commun. Appl. 10, 4, Article 35 (July 2014), 15 pages. (IF 3.27)
Yongchao Li, Cheng Cai,Guoping Qiu, Kin-Man Lam: Face hallucination based on sparse local-pixel structure. Pattern Recognition 47(3): 1261-1270 (2014) (IF 7.2)
Hao Fu,Guoping Qiu, Jie Shu, Mohammad Ilyas: A Novel Polar Space Random Field Model for the Detection of Glandular Structures. IEEE Trans. Med. Imaging 33(3): 764-776 (2014) (IF 6.68)
Mercedes Torres,Guoping Qiu, Automatic habitat classification using image analysis and random forest, Ecological Informatics, Volume 23, September 2014, Pages 126-136 (IF 2.51)
L. G. Zheng,G. Qiu, Y. Lei and J. Huang, “Near-duplicate Image Detection in a Visually Salient Riemannian Space”, IEEE Transactions on Information Forensics and Security, Volume: 7, Issue: 5, Page(s): 1578 – 1593, October 2012 (IF 6.21)
Hao Fu,Guoping Qiu: Integrating low-level and semantic features for object consistent segmentation. Neurocomputing 119: 74-81 (2013) (IF 4.44)
Xiaodong Gu,Guoping Qiu, Xu Feng, Liu Debing and Chen Zhibo, “Region of interest weighted pooling strategy for video quality metric”, Telecommunication Systems, Vol. 49, pp. 63 – 73, January 2012 (IF 1.73)
N. Zhou, K. Cheung,G. Qiu, X. Xue, “A Hybrid Probabilistic Model for Unified Collaborative and Content-based Image Tagging”, IEEE Transactions Pattern Analysis and Machine Intelligence, Vol. 33 pp.1281 – 1294, 2011 (IF 17.86)
Y. Hu, K-M Lam,G. Qiu, T. Shen, “From local pixel structure to global image super-resolution: a new face hallucination framework”, IEEE Transactions on Image Processing, 20(2):433-45, Feb. 2011 (IF 9.34)
W. Lou, J. Huang andGuoping Qiu, "JPEG error analysis and its applications to digital image forensics”, IEEE Trans. on Information Forensics and Security, Vol. 5, pp. 480 – 491, Sept. 2010 (IF 6.21)
Jiang Duan, Marco Bressan, Christopher R. Dance,Guoping Qiu: Tone-mapping high dynamic range images by novel histogram adjustment. Pattern Recognition 43(5): 1847-1862 (2010) (IF 7.2)
Michael K. Ng,Guoping Qiu, Andy M. Yip, “Numerical methods for interactive multiple-class image segmentation problems”, International Journal of Imaging Systems and Technology, 20(3): 191-201 (2010) (IF 1.92)
G. Qiuand P C Yuen, "Interactive imaging and vision — Ideas, algorithms and applications", Pattern Recognition, Volume 43, Issue 2, Pages 431-433, February 2010 (IF 7.2)
C. Liu, P. C. Yuen, andG. Qiu, “Object motion detection using information theoretic spatio-temporal saliency”, Pattern Recognition, 42, 11 (Nov. 2009), 2897-2906 (IF 7.2)
Xiaoguang Li, Kin-Man Lam,Guoping Qiu, Lansun Shen, Suyu Wang: Example-based image super-resolution with class-specific predictors. J. Visual Communication and Image Representation 20(5): 312-322 (2009) (IF 2.48)
G. Qiuand J. Fang, “Classification in an Informative Sample Subspace” Pattern Recognition, Volume 41, Issue 3 (March 2008), Pages: 949-960 (IF 7.2)
Guoping Qiu, Erik Reinhard and Graham Finlayson, “Guest Editorial, Special issue on high dynamic range imaging”, Journal of Visual Communication and Image Representation, Volume 18, Issue 5 (Oct 2007), 357-358 (IF 2.48)
G Qiu, J. Duan and G. D. Finlayson, "Learning to display high dynamic range images", Pattern Recognition, Volume 40, Issue 10 (October 2007), Pages: 2641-2655 (IF 7.2)
G. Qiu, J. Morris and X. Fan, “Visual Guided Navigation for Image Retrieval”, Pattern Recognition, Volume 40 , Issue 6 (June 2007) Pages: 1711-1721 (IF 7.2)
K-W Sze, K-M Lam, andG. Qiu, "A new key frame representation for video segment retrieval", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 15, No.9, pp. 1148-1155, 2005 (IF 4.13)
G Qiu, X. Feng and J. Fang "Compressing histogram representations for automatic colour photo categorization", Pattern Recognition, vol. 37, 2177 – 2193, 2004 (IF 7.2)
G Qiu, "Embedded colour image coding for content-based retrieval", Journal of Visual Communication and Image Representation, Volume 15, Issue 4, December 2004, Pages 507-521 (IF 2.48)
G Qiu, "Colour image indexing using BTC", IEEE Transactions on Image Processing, vol. 12, no.1 pp. 93 -101, 2003 (IF 9.34)
G Qiuand K-M Lam, "Frequency layered color indexing for content-based image retrieval", IEEE Transactions on Image Processing, vol. 12, no.1 pp. 102 -113, 2003 (IF 9.34)
G Qiu, "Indexing chromatic and achromatic patterns for content-based colour image retrieval", Pattern Recognition, vol. 35, pp. 1675 – 1686, August, 2002 (IF 7.2)
G. Qiu, "MLP for adaptive postprocessing block coded images", IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, pp. 1450 - 1454, December, 2000 (IF 4.13)
J. Berens, G. D. Finlayson andG. Qiu, "Image indexing using compressed colour histogram", IEE Proceedings, Vision, Image and Signal Processing, vol. 147, no. 4, pp. 349 - 355, 2000
G. Qiu, "Inter-resolution look-up table for improved spatial magnification of images", Journal of Visual Communications and Image Representation, vol. 11, pp. 360 - 373, Academic Press, November 2000 (IF 2.48)
G. Qiu, "A progressively predictive image pyramid for efficient lossless coding", IEEE Transactions on Image Processing, Vol. 8, No.1, pp. 109 – 115, 1999 (IF 9.34)
G. Qiu, "Non-linear adaptive processing of block coded images", IEE Electronics Letters, vol. 33, pp. 1040 - 1042, 1997 (IF 1.32)
G. Qiu, "An Improved Recursive Median Filtering Scheme for Image Processing", IEEE Transactions on Image Processing, Vol. 5, pp. 646-648, 1996 (IF 9.34)
G. Qiu, "Functional Optimisation Properties of Median Filtering", IEEE Signal Processing Letters, Vol. 1, No. 4, pp. 64-65, 1994 (IF 3.1)
G. Qiu, M. R. Varley and T. J. Terrell, "Improved Clustering using Deterministic Annealing with a Gradient Descent Technique", Pattern Recognition Letters, 15, pp. 607-610, 1994 (IF 3.25)
G. Qiu, M. R. Varley and T. J. Terrell, "Image Compression by Edge Pattern Learning using Multilayer Perceptrons", IEE Electronics Letters, Vol. 29, No. 7, pp. 601-603, 1993 (IF 1.32)
G. Qiu, M. R. Varley and T. J. Terrell, "Accelerated training of backpropagation networks using adaptive momentum step", IEE Electronics Letters, Vol. 28, No. 4, pp. 377-379, 1992 (IF 1.32)
G. Qiu, M. R. Varley and T. J. Terrell, "Improved block truncation coding using Hopfield neural network", IEE Electronics Letters, Vol. 27, No. 21, pp.1924-1926, 1991 (IF 1.32)
