科研团队
20160301094522

导师与研究领域、方向:

赵洋,博士,硕士生导师,北京大学深圳研究生院博士后,合肥工业大学副研究员。

1987年生于安徽省淮北市,分别于20086月、20136月获中国科学技术大学自动化专业工学学士学位与工学博士学位,期间获多项奖学金及省、校优秀毕业生等奖励。2013年至2015年在北京大学深圳研究生院及数字视频编解码技术国家工程实验室从事博士后研究工作,研究课题为图像超分辨率技术。20162月起进入合肥工业大学计算机与信息学院工作。

IEEE会员,中国人工智能学会模式识别专业委员会委员,中国计算机学会计算机视觉专业委员会委员。曾获得国家自然科学基金、博士后基金等资助。近年来,在TIPTCSVTPR等国际期刊和会议上发表论文二十余篇,其中SCI二区论文十余篇。为 TIPTCSVTTSPNeurocomputing等二十余国际SCI期刊和会议审稿。

主要研究领域为计算机视觉、图像处理与模式识别,具体研究方向包括:图像超分辨率、低质量图像复原、纹理分析与生物特征识别。

主要科研项目:

  1. 国家自然科学基金青年基金《基于局部纹理特征的图像细节超分辨率技术研究》
  2. 中国博士后科学基金面上资助(一等)《基于局部模式的图像细节超分辨率技术研究》
  3. 合肥工业大学学术新人提升B计划《基于深度学习的图像超分辨率技术研究》
  4. 合肥工业大学应用科技成果培育计划《面向VR实景采集的GPU实时拼接技术》

主要成果:

部分代表论文

[1]       Y. Zhao, R. G. Wang, W. M. Wang, W. Gao, "High resolution local structure-constrained image upsampling," IEEE Transactions on Image Processing, vol.24, no.11, pp.4394-4407, Nov. 2015.

[2]        Y. Zhao, R. G. Wang, W. M. Wang, W. Gao, "Multilevel modified finite radon transform network for image upsampling," IEEE Transactions on Circuits and System for Video Technology, vol. 26, no.12, pp.2189-2199, 2016.

[3]       Y. Zhao, D. S. Huang, W. Jia, “Completed local binary count for rotation invariant texture classification”, IEEE Transaction on Image Processing, vol.21, pp. 4492-4497, 2012.

[4]       R. X. Hu, W. Jia, H. B. Ling, Y. Zhao, J. Gui, "Angular pattern and binary angular pattern for shape retrieval," IEEE Transactions on Image Processing, vol.23, no.3, pp.1118-1127, 2014.

[5]     W. Jia, R. X. Hu, Y. K. Lei, Y. Zhao, J. Gui, "Histogram of oriented lines for palmprint recognition," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.44, no.3, pp. 385-395, 2014.

[6]     W. Jia, B. Zhang, J. T. Lu, Y. H. Zhu, Y. Zhao, “Palmprint Recognition Based on Complete Direction Representation,” IEEE Transactions on Image Processing, Accept, 2017.

[7]     H. Min, W. Jia, X. F. Wang, R. X. Hu, Y. Zhao, et al., “An Intensity-Texture model based level set method for image segmentation,” Pattern Recognition, vol. 48, pp.1547-1562, 2015.

[8]     R. X. Hu, W. Jia, Y. Zhao, J. Gui, “Perceptually motivated morphological strategies for shape retrieval”, Pattern Recognition, vol. 45, pp. 3222-3230, 2012.

[9]     H. Min, W. Jia, X. F. Wang, Y. Zhao, Y. T. Luo, “A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity,” Pattern Recognition, Accept, 2017.

[10]  Y. Zhao, W. Jia, L. Li, L. Cao, X. P. Liu, “Filtered mapping based method for compressed web image super-resolution”, IEEE ACCESS, Accept, 2017.

[11]  Y. Zhao, R. G. Wang, W. Jia, W. M. Wang, W. Gao,Iterative projection reconstruction for fast and efficient image upsampling”, Neurocomputing, vol.226, pp.200-211, 2017.

[12]  Y. Zhao, W. Jia, R. X. Hu, H. Min, “Completed robust local binary pattern for texture classification”, Neurocomputing, vol. 106, no.15, pp. 68-76, 2013.

[13]  Y. Zhao, R. G. Wang, W. M. Wang, W. Gao,Local quantization code histogram for texture classification”, Neurocomputing, vol.207, pp.354-364, 2016.

[14]  W. Jia, R. X. Hu, J. Gui, Y. Zhao, “Palmprint recognition across differentdevices,” Sensors, vol. 12, no. 6, pp.7938-7964, 2012.

[15]  M. W. Cao,  W. Jia,  Y. Zhao,  S. J. Li,  X. P. Liu, “Fast and Robust Absolute Camera Pose Estimation with Known Focal Length”, Neural Computing and Application, Accept, 2017.

[16]  Y. Zhao, W. Jia, R. X. Hu, J. Gui, “Palmprint identification using LBP and different representations”, 2011 International Conference on Hand-Based Biometrics, Hongkong, China, 2011, pp. 1-5.

[17]  W. Jia, R. X. Hu, Y. Zhao, J. Gui, Y. H. Zhu, ”Palmprint recognition using band-limited minimum average correlation energy filter” , 2011 International Conference on Hand-Based Biometrics, Hongkong, China, 2011.

[18]  Y. Zhao, “Theories and applications of LBP: a survey”, International Conference on Advanced Intelligent Computing, vol.6839, pp. 112-120, 2012.

[19]  X. M. Ren, X. F. Wang, Y. Zhao, “An efficient multi-scale overlapped block LBP approach for leaf image recognition,” Intelligent Computing Theories and Applications, 2012, pp.237-243.

[20]  J. Lu, H. Ye, W. Jia, Y. Zhao, et al., “A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition,” Chinese Conference on Biometric Recognition, 2016, pp.279-287.

部分专利申请

国内及PCT专利18项(申请中)