基本信息
赵一天男中国科学院宁波材料技术与工程研究所
电子邮件： yitian.zhao@nimte.ac.cn
通信地址： 中科院宁波材料所
邮政编码：

研究领域主要研究方向是
虚拟现实与增强现实
计算机视觉
模式识别
医学图像处理
人工智能
手术精准导航及汽车自动驾驶
近几年围绕精准医疗研究，开展了眼科疾病以及脑血管疾病的计算机辅助诊断研究。

招生信息常年招收研究生，课题生以及实习生是，只要你符合以下专业之一（不仅限于）：
计算机科学专业
通信工程专业
机械工程专业
自动化专业
软件工程专业
生物医学工程专业

招生专业083100-生物医学工程

招生方向计算机视觉，医学影像分析，模式识别，人工智能


教育背景
学历
学位
教育情况?博士：2010年1月至2013年9月，英国艾伯瑞斯特维斯大学 (Aberystwyth University) 计算机科学专业，研究课题：三维图像可视化及分析。 全额奖学金。?硕士：2008年9月至2009年9月，英国纽卡斯尔大学(Newcastle University)， 数字信号处理专业。优秀海外学生奖学金。?本科：2005年9月至2007年7月，北京理工大学，信息科学与技术学院。由于参与中英合作办学项目，2007年9月至2008年7月，就读于英国中央兰开夏大学(University of Central Lancashire)，数字通信专业。

工作经历
工作简历
社会兼职

教授课程

专利与奖励
奖励信息
专利成果

出版信息Full Publication(* indicates corresponding author)Edited books：1. Yonghuai Liu, Peter Yuen, Yanwei Pang,Yitian Zhao, Paul L. Rosin. Range images. Wiley Encylopedia of Electrical and Electronics Engineering John Wiley and Sons, Inc. 2017.
2019
79. Zheng Y,Zhao Y, Chen X, Gao D, Bridge J, Zhu W, Williams BM， Fully Automatic Localisation of the Optic Disc Using YOLO in Colour Fundus Photographs，Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
78.Zheng Y, Yao H, Shen Y,Zhao Y, Williams BM，Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography，Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
77. Kun Zhao,Yitian Zhao*, Yalin Zheng, Hong Qi, Jiang Liu,Corneal Nerve Segmentation Using Weighted Local Phase Tensor,'23rd Conference in Medical Imaging, Understanding and Analysis (MIUA 2019), accepted.
76.Huaying Hao,Yitian Zhao*, Huazhu Fu, Qiaoling Shang, Zhili Chen, Fei Li, Xiulan Zhang, Jiang Liu, Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks,41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), accepted.
75.Qiaoling Shang,Yitian Zhao*, Huaying Hao, Zhili Chen, Pan Su, Fei Li, Xiulan Zhang, Jiang Liu,Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles Via Local Phase Tensor,41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), accepted.
74.Rui Zhao,Yitian Zhao*, Zhili Chen, Yifan Zhao, Jianlong Yang, Yan Hu, Jun Cheng, Jiang Liu,Speckle Reduction in Optical Coherence Tomography via Super-Resolution Reconstruction,41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),accepted.
73.Pholpat Durongbhan, Yifan Zhao,Liangyu Chen, Panagiotis Zis, Matteo De Marco, Zoe C. Unwin, Annalena Venneri, Xiongxiong He, Sheng Li,Yitian Zhao, Daniel J. Blackburn, and Ptolemaios G. Sarrigiannis. A Dementia Classification Framework using Frequency and Time-frequency Features based on EEG signals.IEEETransactions on Neural Systems & Rehabilitation Engineering, 27(5): 826-835, 2019.
72. Pan Su, Tianhua Chen, Haoyu Mao, Jianyang Xie,Yitian Zhao*, Jiang Liu. On the Application of Preaggregation Functions to Fuzzy Pattern Tree.to be appeared in proceedings ofFUZZ-IEEE2019.
71. Jianlong Yang, Liyang Fang, Yan Hu,Yitian Zhao，Yalin Zheng , Jiang Liu. 2D Transform-domain Fourier Filters for Eleimintating Microsaccade Noise in en face Optical Coherence Tomography Angiography,to be appeared in proceedings ofSPIE European Conferences on Biomedical Imaging, 2019.
70. Zaiwang Gu, Jun Cheng, Huazhu Fu,Yitian Zhao, Tianyang Zhang, Huaying Hao, Kang Zhou, Jiang Liu, CE-Net: Context Encoder Network for 2D Medical Image Segmentation,IEEE Transactions on Medical Imaging,2019.
69. Jianyang Xie,Yitian Zhao*,Yonghuai Liu, Pan Su, Yalin Zheng, Yifan Zhao, Jun Cheng, Jiang Liu, Topology Reconstruction of Tree-like Structure in Images via Structural Similarity Measure and Dominant Set Clustering, to be appeared in proceedings ofCVPR, Long Beach, USA, June, 2019.
68.Hao Wang, Jianlong Yang, Jianyang Xie, Shanshan Jiang, Kun Zhao,Yitian Zhao, Yan Hu, Jun Cheng, Yalin Zheng, Jiang Liu.Removal of microsaccade artifacts on en face OCT angiograms using hybrid frequency and wavelet filtering,Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
67. Jianlong Yang, Xiaoxi Mu,Yitian Zhao, Liyang Fang, Yan Hu, Jun Cheng, Fei Li, Xiulan Zhang, Jiang Liu.Enhancing visibility of choroidal vasculature in OCT via attenuation compensation and coherence transport inpainting,Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
66. Yalin Zheng, Hanjie Yao, Yaochun Shen,Yitian Zhao, Bryan Williams.Fully Convolutional Segmentation of Corneal Limbus and FovealBlood Vessels in Fluorescein Angiography,Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
65. Zaiwang Gu, Yan Gong, Yan Hu, Peng Liu, Jun Cheng, Jianlong Yang,Yitian Zhao, Jiang Liu.Weaklysupervised Convolution Neural Network based OCT image classification and Lesion Localization,Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
64. Shanshan Jiang, Zaiwang Gu, Yan Hu, Jianlong Yang, Jun Cheng,Yitian Zhao, Jiang Liu.An Edge Attention-based convolutional Neural Network for Pathological OCT Retinal Layer Segmentation,Investigative Ophthalmology & Visual Science, XX(X): XXX. (Abstract)
63. Jun Cheng,Yitian Zhao, Yan Hu and Jiang Liu,Pixel Reconstruction for Speckle Reduction in 3D Optical Coherence Tomography of Retina,to be appearedinProceedings ofInternational Symposium on Biomedical Imaging (ISBI 2019),Venice, Italy,2019.
2018
62. Likun Xia, Jian Yang, Tao Han, Huiming Xu, Qi Yang,Yitian Zhaoand Yongtian Wang, A Mobilized Automatic Human Body Measure System Using Neural Network, Multimedia Tools and Applications, pp.1-21, 2018.
61. Yonghuai Liu,Yitian Zhao, Yanquan Zhou, Yongjun Wang, Wei Huang, Jiwan Han, Yiguang Liu,Logistic Regression of Point Matches for Accurate Transformation Estimation, Proceedings ofInternational Conference on 3D Vision (3DV),pp. 409-417，Verona, Italy, September, 2018.
60. Davide Borroni, Mike Beech, Bryan Williams, Rongjun Liu,Yitian Zhao, Baikai Ma, Vito Romano, Uazman Alam, Hong Qi, Stephen B Kaye, Yalin Zheng,Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves,Investigative Ophthalmology & Visual Science,59(9): 5719. (Abstract)
59. Hong Qi, Davide Borroni, Rongjun Liu, Bryan Williams, Mike Beech,Yitian Zhao, Baikai Ma, Vito Romano, Uazman Alam, Stephen B Kaye, Yalin Zheng,Automated detection of corneal nerves using deep learning,Investigative Ophthalmology & Visual Science,59(9): 5721.(Abstract)
58.Yitian Zhao, Yalin Zheng, Zhili Chen, Peng Liu, Yifan Zhao, Jiang Liu,Uniqueness-Driven Saliency Analysis For Automated Abnormalities Detection with Application to Retinal Diseases,Proceedings ofMICCAI, pp. 109-118, Granada, Spain,September,2018.
57.Yitian Zhao, Jianyang Xie, Yalin Zheng, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Jiang Liu,Retinal Artery and Vein Classification via Dominant Sets Clustering-based Vascular Topology Estimation,Proceedings ofMICCAI, pp. 56-64, Granada, Spain, September,2018.[Dataset download]
56. Yifan Zhao, Ramon Laguna,Yitian Zhao*, John Yianni, Ptolemaios Sarrigiannis, Jimmy Liu J. and Xiong-xiong He,A wavelet-based correlation analysis framework to study cerebro-muscular activity in essential tremor,Complexity,**,2018.(SCI一区)
55. Pan Su, Tianhua Chen, Weifeng Xu, Xuqiang Shao, Hongtao Wang,Yitian Zhao*,Dominant-set-based Consensus for Fuzzy C-means Clustering Ensemble,Proceedings ofInternational Conference of Machine Learning and Cybernetics (ICMLC),pp. 85-90, Chengdu, China,July2018.
54. Yonghuai Liu,Yitian Zhao, Ran Song, Peter Yuen, Honghai Liu. Effective Provision of Feedback on Assignments from A Large Class,Proceedings ofInternational Conference on Education and New Developments,Budapest, Hungary,June, 2018.
53. Tong Na,Jianyang Xie,Yitian Zhao*,Yifan Zhao, Yue Liu, Yongtian Wang, Jiang Liu,Retinal Vascular Segmentation Using Superpixel-based Line Operator and Its Application to Vascular Topology Estimation,Medical Physics, 45(7): 3132-3146, 2018.
52. Jianyang Xie,Yitian Zhao*,Yalin Zheng, Jiang Liu, Yongtian Wang,Retinal Vascular Topology Estimation Via Dominant Sets Clustering. Proceedings ofInternational Symposium on Biomedical Imaging (ISBI 2018),Washington DC, USA, April,2018.
51.Harry Pratt, Bryan Williams, Yalin Zheng, Frans Coenen, JaeKu, Charles Vas, Emma McCann, Baidaa Al-Bander,Yitian Zhao.Automatic detection and identification of retinal vessel junctions incolour fundus photography.Journal of Imaging,4(1), 4, 2018.
50.Yitian Zhao, Yalin Zheng, Yonghuai Liu, Yifan Zhao, Lingling Luo, Siyuan Yang, Tong Na, Yongtian Wang, Jiang Liu, Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter,IEEE Transactions on Medical Imaging, 37(2): 438-450, 2018.(SCI一区)[Dataset dowload]
2017
49. Ian MacCormick, Yalin Zheng, Silvester Czanner,Yitian Zhao, Peter Diggle, Simon P Harding, Gabriela Czanner, Spatial statistical modelling of capillary non-perfusion in the retina,Scientific Reports,7:16792,2017.
48.Yifan Zhao,Edward Hanna,Grant R. Bigg,andYitian Zhao*,Tracking Nonlinear Correlation for Complex Dynamic Systems Using a Windowed Error Reduction Ratio Method,Complexity,**, 2017.(SCI一区)
47.Williams, BM , Al-Bander, B , Pratt, H , Lawman, S ,Zhao, Y, Zheng, Y and Shen, Y, Fast blur detection and parametric deconvolution of retinal fundus images. Proceedings ofMICCAI - Ophthalmic Medical Image Analysis 4, Quebec, Canada, 194-201, 2017.
46. Wasnaa Witwit, Yifan Zhao, Karl Jenkins,Yitian Zhao, Satellite Image Resolution Enhancement using Discrete Wavelet Transform and New Edge-Directed Interpolation,Journal of Electronic Imaging, 26(2): 023014, 2017.
45. Tong Na,Yitian Zhao*, Yifan Zhao, Yue Liu, Superpixel-Based Line Operator for Retinal Blood Vessel Segmentation, Proceedings ofAnnual Conference on Medical Image Understanding and Analysis (MIUA 2017),Edinburgh, UK, 5-26, 2017. [Oral]
44. Pan Su, Changjing Shang,Yitian Zhao, Tianhua Chen and Qiang Shen, Fuzzy Rough Feature Selection Based on OWA Aggregation of Fuzzy Relations,FUZZ-IEEE,Naples, Italy, 1-6, 2017. [Oral]
43. Gabriela Czanner, Ian James MacCormick, Yalin Zheng, Silvester Czanner,Yitian Zhao, Peter Diggle, Simon P Harding, Spatial distribution modelling of retinal lesions with application to retinal capillary non-perfusion in malarial retinopathy,Investigative Ophthalmology & Visual Science, 58(8): 4819, 2017.(Abstract)
42. Yalin Zheng, Bryan M Williams, Harry Pratt, Baidaa Al-Bander, Xiangqian Wu,Yitian Zhao, Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning,Investigative Ophthalmology & Visual Science, 58(8): 824, 2017. (Abstract)
41. Yonghuai Liu,Yitian Zhao, Ran Song, Engaging students for the learning and assessment of the advanced computer graphics module using the latest technologies,Proceedings ofInternational Conference on Education and New Developments, (END 2017), Lisbon, Portugal, 2017. [Oral]
40. Lingling Luo,Yitian Zhao*, Jian Yang, Yalin Zheng, Danni Ai, Yongtian Wang, Cerebral Vascular Enhancement Using a Weighted 3D Symmetry Filter. Proceedings ofInternational Symposium on Biomedical Imaging (ISBI 2017),Melbourne, Australia, 1945-8452, 2017.
39.Yitian Zhao, Jingliang Zhao, Jian Yang, Yonghuai Liu, Yifan Zhao,Yalin Zheng, Likun Xia and Yongtian Wang, Saliency Driven Vasculature Segmentation with Infinite Perimeter Active Contour Model,Neurocomputing, 259: 201-209, 2017.
38.Yitian Zhao, Yalin Zheng, Yonghuai Liu, Jian Yang, Yifan Zhao, Yongtian Wang, Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy,IEEE Transactions on Medical Imaging, 36(1): 51-63, 2017.(SCI一区)
37. Jingfan Fan, Jian Yang,Yitian Zhao, Danni Ai, Yonghuai Liu, Ge Wang, Yongtian Wang, Convex Hull Aided Registration Method (CHARM),IEEE Transactions on Visualization and Computer Graphics, 23(9): 2042-2055, 2017
36.Yitian Zhao, Pan Su, Jian Yang, Yifan Zhao, Yalin Zheng, Yongtian Wang, A Compactness based Saliency Approach for Leakages Detection in Fluorescein Angiogram,International Journal of Machine Learning and Cybernetics, 8(6):1971–1979, 2017.
2016
35. Yonghuai Liu, Honghai Liu, Ralph R. Martin, Luigi De Dominicis, Ran Song,Yitian Zhao*, Accurately Estimating Rigid Transformations in Registration using a Boosting-Inspired Mechanism,Pattern Recognition, 60: 849–862, 2016.
34. Sebastian Amrogowicz,Yitian Zhao*, Yifan Zhao, An Edge Detection Method using Outer Totalistic Cellular Automata,Neurocomputing, 214(19): 643-653, 2016.
33.Yitian Zhao, Yonghuai Liu, Yongjun Wang, Baogang Wei, Jian Yang, Yifan Zhao, Yongtian Wang:Region-based saliency estimation for 3D shape analysis and understanding.Neurocomputing, 197: 1-13, 2016.
32.Yitian Zhao, Jian Yang, Yalin Zheng, Yongtian Wang: Leakage Detection on Diabetic Retinopathy by Using Saliency.International Symposium on Biomedical Imaging (ISBI 2016),Prague, Czech Republic.Abstract, 2016.
31. Wasnaa Witwit,Yitian Zhao, Karl Jenkins, Yifan Zhao, An Optimal Factor Analysis Approach to Improve the Wavelet-based Image Resolution Enhancement Techniques,Global Journal of Computer Science and Technology, 16(4): 11-20, 2016.
30. Jingfan Fan, Jian Yang,Yitian Zhao, Danni Ai, Yonghuai Liu, Ge Wang, and Yongtian Wang. Convex Hull Aided Registration Method (CHARM).IEEE Transactions on Visualization and Computer Graphics, 23(9): 2042-2055, 2016.
29. Yonghuai Liu, Honghai Liu,Yitian Zhao, Ran Song. Teaching of Advanced Computer Graphics with Three.js.Proceedings of International Conference on Education and New Developments (END 2016), Ljubljana, Slovenia, 13-17, 2016 (AR=27%). [Oral]
28. Yonghuai Liu,Yitian Zhao, Longzhuang Li, Jiwan Han. Point match refinement through rigidity constraint and vote,Electronics Letters, 2016, 52(15): 1304-1306, 2016.
26. Jingfan Fan,Jian Yang, Danni Ai, Likun Xia,Yitian Zhao, Yongtian Wang: Convex Hull indexed Gaussian Mixture Model (CH-GMM) for Non-rigid Point Set Registration,Pattern Recognition. 59: 126-141, 2016.
25. Jingfan Fan,Jian Yang, Feng Lu, Danni Ai,Yitian Zhao, Yongtian Wang: 3-Points Convex Hull Matching (3PCHM) for Fast and Robust Point Set Registration,Neurocomputing, 194: 227-240, 2016.
24. Shuang Song, Jian Yang, Jingfan Fan, Weijian Cong, Danni Ai,Yitian Zhao, Yongtian Wang: Geometrical force constraint method for vessel and x-ray angiogram simulation.Journal of X-Ray Science and Technology, 24(1): 87-106, 2016.
2015
23. Xiaoxia Qu; Jian Yang; Shaodong Ma;Yitian Zhao; Tingzhu Bai, An unanimous voting of the multiple classifiers method for detecting focal cortical dysplasia on brain magnetic resonance image,Proceedings ofIET International Conference on Biomedical Image and Signal Processing (ICBISP 2015), Beijing, China, 1-4, 2014
22.Yitian Zhao, Lavdie Rada, Ke Chen, Simon Harding, Yalin Zheng: Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retina Images.IEEE Transactions on Medical Imaging, 34(9): 1797-1807, 2015. (SCI一区)[Top 2 Most Frequently Downloaded Paper of T-MI in2015]
21.Yitian Zhao, Ian J. C. MacCormick, David G. Parry, Nicholas A. V. Beare, Simon P. Harding, Yalin Zheng: Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy.Scientific Reports, 5: srep11154, 2015.
20.Yitian Zhao, Yonghuai Liu, Xiangqian Wu, Simon P Harding, Yalin Zheng: Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase.PLoS ONE,10(4): **, 2015.[ESI highly cited paper, ESI高被引论文]
19.Yitian Zhao, Ian J C MacCormick, David G Parry, Sophie Leach, Nick Beare, Simon P Harding, Yalin Zheng: Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy.Scientific Reports, 5: srep10425, 2015.
18. Yonghuai Liu, Honghai Liu,Yitian Zhao, Ran Song: Performance calibration through partly peer assessment. Proceedings ofInternational Conference on Education and New Developments (END 2015), Porto, Portugal, 62-66, (AR=33%),. [Oral]
2013
17.Yitian Zhao, Yonghuai Liu: 3D Interest Points Detection Using Symmetric Surround-Based Surface Saliency. Proceedings ofInternational Conference on Image Analysis and Processing (ICIAP 2013), Naples, Italy, 632-641, 2013.
16.Yitian Zhao, Yonghuai Liu, Ziming Zeng: Using Region-Based Saliency for 3D Interest Points Detection. Proceedings ofInternational Conference on Computer Analysis of Images and Patterns (CAIP 2013), York, UK, 108-116, 08/2013. [Oral]
15.Yitian Zhao, Yonghuai Liu: Contrast-based surface saliency. Proceedings of8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), Trieste, Italy, 212 – 217, 09/2013. [Oral]
14. Z. Zeng, Z. Han,Y. Zhao, R. Zwiggelaar: Date-driven based image enhancement for segmenting of MS lesions in T2-w and flair MRI. Proceedings of5th International Symposium on Information Technology in Medicine and Education (ITME 2013), 07/ 2013, pp. 2827-2832, Xining, China. [Poster]
13. Juan Cao,Yitian Zhao, Ran Song, Yingchun Zhang: A 3D Simplification Method based on Dual Point Sampling.Journal of multimedia06/2013; 8(3). DOI:10.4304/jmm.8.3.191-197
12. Juan Cao,Yitian Zhao, Ran Song, Yingchun Zhang: A Local and Global Based Point Sampling Method for Mesh Simplification.International Journal of Digital Content Technology and its Applications03/2013; 7(6):716-723. DOI:10.4156/jdcta.vol7.issue6.80
2012
11.Yitian Zhao, Yonghuai Liu, Ran Song, Min Zhang: A Retinex theory based points sampling method.International Journal of Computer Information Systems and Industrial Management Applications, 5: 1-10, 2012.
10.Yitian Zhao, Yonghuai Liu: A MRF based points sampling method for efficient range image registration.IFRSA’s International Journal of Computing, 2(3): 2012.
9.Yitian Zhao, Yonghuai Liu, Song Ran, Min Zhang: Extended non-local means filter for surface saliency detection. Proceedings of19th IEEE International Conference on Image Processing (ICIP 2012), Orlando, USA, 633 - 636 , 09/2012. [Oral]
8.Yitian Zhao, Yonghuai Liu, Song Ran, Min Zhang: Patch based saliency detection for 3D surface simplification. Proceedings of21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 845 – 848, 11/2012.
7.YitianZhao, Yonghuai Liu, Ran Song, Min Zhang: A saliency detection based method for 3D surface simplification. Proceedings ofthe IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, 889 – 892, 05/2011. [Oral]
6. Ran Song, Yonghuai Liu,Yitian Zhao, Ralph Martin, Paul Rosin: An Evaluation Method for Multiview Surface Reconstruction Algorithms. Proceedings of2nd International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT 2012), 10/2012, pp. 387-394, Zurich, Swiss. [Oral]
5. Ran Song, Yonghuai Liu,Yitian Zhao, Ralph R. Martin, Paul L. Rosin: Conditional random field-based mesh saliency. Proceedings of19th IEEE International Conference on Image Processing (ICIP 2012), 09/2012, Orlando, pp. 637 – 640, USA. [Oral]
4. Juan Cao,Yitian Zhao, Ran Song, Yingchun Zhang: Local and global point sampling for structured point cloud simplification. Proceedings of9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012), 05/2012, pp. 1843 – 1847, Sichuan, China. [Oral]
2011
3.Yitian Zhao, Yonghuai Liu, Kezong Song, Min Zhang, Ran Song: A Retinex theory based point sampling method. Proceedings ofInternational Conference of Soft Computing and Pattern Recognition (SoCPaR 2011), Dalian, China, 330 – 335,10/2011.
2.Yitian Zhao, Yonghuai Liu, Song Ran, Min Zhang: A Retinex theory based points sampling method for mesh simplification. Proceedings of7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), Dubrovnik, Croatia, 230-235, 09/2011. [Oral](Best student paper award)
1. Ran Song, Yonghuai Liu,Yitian Zhao, Ralph R. Martin, Paul L. Rosin: MRF-based automatic image ordering and its application to mosaicing. Proceedings ofthe IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), 05/2011, pp. 1549 – 1552, Prague, Czech Republic.



发表论文
发表著作

科研活动
科研项目
参与会议

合作情况
项目协作单位

指导学生