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973计划课题“三维显示的视觉感知机理和质量评价方法”（2013CB328805）论文成果列表

作者：   发布日期: 2017-09-27

SCI期刊论文列表如下：

  1. [1] Wang W, Shen J, Yu Y, et al. Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):2014-2027.【IF：2.84】   http://ieeexplore.ieee.org/document/7544591/
  2. [2] Zou B, Utochkin I, Liu Y, et al. Binocularity and Visual Search – Revisited[J]. Attention, Perception& psychophysics, 2016, 16(12). 【IF：1.863】https://link.springer.com/article/10.3758/s13414-016-1247-8
  3. [3] Shen J, Hao X, Liang Z, et al. Real-time Superpixel Segmentation by DBSCAN Clustering Algorithm [J]. IEEE Trans. on Image Processing, 25(12):5933-5942, 2016. 【IF：4.828】http://ieeexplore.ieee.org/document/7588062/
  4. [4] Ma B, Huang L, Shen J, et al. Visual tracking under motion blur[J]. IEEE Trans. on Image Processing, 25(12):5867-5876, 2016.【IF：4.828】http://ieeexplore.ieee.org/document/7585089/
  5. [5] Dong X, Shen J, Shao L. HSP2P: Hierarchical Superpixel-to-Pixel Dense Image Matching[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2016, PP(99):1-1. 【IF：3.599】 http://ieeexplore.ieee.org/document/7523995/
  6. [6] Dong X, Shen J, Yu D, et al. Occlusion-Aware Real-Time Object Tracking[J]. IEEE Transactions on Multimedia, 2016, 19(4):763-771. 【IF：3.509】http://ieeexplore.ieee.org/document/7752914/
  7. [7] Wang W, Shen J, Shao L, et al. Correspondence Driven Saliency Transfer[J]. IEEE Transactions on Image Processing, 2016, 25(11): 5025-5034. 【IF：4.828】http://ieeexplore.ieee.org/document/7547909/
  8. [8] Ma B, Hu H, Shen J, et al. Generalized Pooling for Robust Object Tracking[J]. IEEE Transactions on Image Processing, 2016, 25(9): 4199-4208. 【IF：4.828】http://ieeexplore.ieee.org/document/7505944/
  9. [9] Peng J, Shen J, Li X. High-order energies for stereo segmentation[J]. IEEE Trans. on Cybernetics, 46(7): 1616-1627, 2016.【IF：7.384】http://ieeexplore.ieee.org/document/7164318/
  10. [10] Ma B, Huang L, Shen J, et al. Discriminative tracking using tensor pooling [J]. IEEE Trans. on Cybernetics, 46(11):2411-2422, 2016. 【IF：7.384】http://ieeexplore.ieee.org/document/7279088/
  11. [11] Peng J, Shen J, Yao A, et al. Superpixel Optimization Using Higher Order Energy[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(5): 917-927. 【IF：3.599】http://ieeexplore.ieee.org/document/7103037/
  12. [12] Wang W, Shen J. Higher-Order Image Co-segmentation[J]. IEEE Transactions on Multimedia, 2016, 18(6): 1011-1021. 【IF：3.509】http://ieeexplore.ieee.org/document/7438900/
  13. [13] Dong X, Shen J, Shao L, et al. Sub-Markov random walk for image segmentation[J]. IEEE Transactions on Image Processing, 2016, 25(2): 516-527. 【IF：4.828】http://ieeexplore.ieee.org/document/7346457/
  14. [14] Liang Y, Shen J, Dong X, et al. Video supervoxels using partially absorbing random walks[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(5): 928-938. 【IF：3.599】http://ieeexplore.ieee.org/document/7047769/
  15. [15] Wang W, Shen J. Higher-Order Image Co-segmentation[J]. IEEE Transactions on Multimedia, 2016, 18(6):1011-1021. 【IF：3.509】http://ieeexplore.ieee.org/document/7438900/
  16. [16] B. Ma, L. Huang, J. Shen, and L. Shao, Discriminative tracking using tensor pooling, IEEE Trans. on Cybernetics, doi://10.1109/TCYB.2015.2477879, in press, 2015.【IF：7.384】http://ieeexplore.ieee.org/document/7279088/
  17. [17] X. Qin, J. Shen, X. Mao, X. Li, and Y. Jia, Robust match fusion using optimization, IEEE Trans. on Cybernetics, 45(8):1549-1560, 2015. 【IF：7.384】http://ieeexplore.ieee.org/document/6899628/
  18. [18] W. Wang, J. Shen, and L. Shao, Consistent video saliency using local gradient flow optimization and global refinement, IEEE Trans. on Image Processing, 24(11):4185-4196, 2015. 【IF：4.828】http://ieeexplore.ieee.org/document/7164324/
  19. [19] X. Dong, J. Shen, L. Shao, and M. H. Yang, Interactive co-segmentation using global and local energy optimization, IEEE Trans. on Image Processing, 24(11):3966-3977, 2015. 【IF：4.828】http://ieeexplore.ieee.org/document/7156153/
  20. [20] W. Wang, J. Shen, X. Li, and F. Porikli, Robust video object cosegmentation, IEEE Trans. on Image Processing, 24(10):3137-3148, 2015. 【IF：4.828】http://ieeexplore.ieee.org/document/7113836/
  21. [21] T. Luo, J. Shen, and X. Li, Accurate normal and reflectance recovery using energy optimization, IEEE Trans. on Circuits and Systems for Video Technology, 25(2):212-224,2015. 【IF:3.599】http://ieeexplore.ieee.org/document/6846305/
  22. [22] Y. Liang, J. Shen, X. Dong, H. Sun, and X. Li, Video supervoxels using partially absorbing random walks, IEEE Trans. on Circuits and Systems for Video Technology, doi://10.1109/TCSVT.2015.2406232, in press, 2015. 【IF:3.599】http://ieeexplore.ieee.org/document/7047769/
  23. [23] J. Peng, J. Shen, A. Yao, and X. Li, Superpixel optimization using higher-order energy, IEEE Trans. on Circuits and Systems for Video Technology, doi://10.1109/TCSVT.2015.2430631, 2015.【IF:3.599】http://ieeexplore.ieee.org/document/7103037/
  24. [24] L. Chen, J. Shen, W. Wang, and B. Ni, Video object segmentation via dense trajectories, IEEE Trans. on Multimedia, doi://10.1109/TMM.2015.2481711, 2015. 【IF:3.509】http://ieeexplore.ieee.org/document/7274745/
  25. [25] B. Ma, J. Shen, Y. Liu, H. Hu, L. Shao, and X. Li, Visual tracking using strong classifier and structural local sparse descriptors, IEEE Trans. on Multimedia, 17(10):1818-1828, 2015. 【IF:3.509】http://ieeexplore.ieee.org/document/7173057/
  26. [26] X. Qin, J. Shen, X. Mao, X. Li, and Y. Jia, Structured-patch optimization for dense correspondence, IEEE Trans. on Multimedia, 17(3):295-306, 2015. 【IF:3.509】http://ieeexplore.ieee.org/document/7017582/
  27. [27] B. Zou, Y. Liu, M. Guo, and Y. Wang, EEG-based assessment of stereoscopic 3D visual fatigue caused by vergence-accommodation conflict, Journal of Display Technology, doi://10.1109/JDT.2015.2451087, 2015. 【IF:1.53】http://ieeexplore.ieee.org/document/7140726/
  28. [28] W. Song, Q. Zhu, T. Huang, Y. Liu, and Y. Wang, Volumetric display based on multiple mini-projectors and a rotating screen, Optical Engineering, 54(1): 013103-013103, 2015. 【IF：1,082】http://spie.org/Publications/Journal/10.1117/1.OE.54.1.013103
  29. [29] D. Wang, Y. Qi, T. Wang, H. Qiao, Y. Shi, and L. Zhang, Evaluation of stereoscopic visual fatigue in experts, Journal of the Society for Information Display, 22(8): 437-447, 2015. 【IF：0.877】http://onlinelibrary.wiley.com/doi/10.1002/jsid.266/full
  30. [30] Xie Y, Sun F, Wang D, et al. The Effects of Disparity Cue and Blur Cue on the Relative Visual Comfort of Stereoscopic Content[J]. Electronic Imaging, 2016, 60(1).【IF：0.754】http://chinesesites.library.ingentaconnect.com/search/article?option1=tka&value1=The+Effects+of+Disparity+Cue+and+Blur+Cue+on+the+Relative+Visual+Comfort+of+Stereoscopic+Content&pageSize=10&index=1
  31. [31] Luo T, Shen J, Li X. Accurate Normal and Reflectance Recovery Using Energy Optimization[J]. Circuits & Systems for Video Technology IEEE Transactions on, 2015, 25(2):212-224. 【IF：3.599】http://ieeexplore.ieee.org/document/6846305/
  32. [32] Shen J, Zhao Y, Yan S, et al. Exposure fusion using boosting Laplacian pyramid.[J]. IEEE Transactions on Cybernetics, 2014, 44(9):1579-1590.【IF：7.384】http://ieeexplore.ieee.org/document/6674110/
  33. [33] Shen J, Du Y, Li X. Interactive Segmentation Using Constrained Laplacian Optimization[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2014, 24(7):1088-1100.【IF:3.599】http://ieeexplore.ieee.org/document/6727434/
  34. [34] Shen J, Du Y, Wang W, et al. Lazy random walks for superpixel segmentation.[J]. IEEE Transactions on Image Processing, 2014, 23(4):1451-1462. 【IF：4.828】http://ieeexplore.ieee.org/document/6725608/
  35. [35] Song W, Wang Y, Cheng D, et al. Light field head-mounted display with correct focus cue using micro structure array[J]. Chinese Optics Letters, 2014, 12(6):39-42. 【IF：1.859】http://www.opticsjournal.net/ViewFullPDF.htm?aid=OJ140530000013qXtZw3
  36. [36] Wang D, Wang T, Liu Z. A Tangible Programming Tool for Children to Cultivate Computational Thinking[J]. The scientific world journal, 2014, 2014(1):428080. 【IF：1.218】http://europepmc.org/abstract/MED/24719575
  37. [37] Shen J, Zhao Y, Yan S, et al. Exposure fusion using boosting Laplacian pyramid.[J]. IEEE Transactions on Cybernetics, 2014, 44(9):1579-1590. 【IF：7.384】http://ieeexplore.ieee.org/document/6674110/
  38. [38] Shen J, Wang D, Li X. Depth-aware image seam carving.[J]. IEEE Transactions on Cybernetics, 2013, 43(5):1453. 【IF：7.384】http://ieeexplore.ieee.org/document/6565369/
  39. [39] Wang D, Zhang Y, Gu T, et al. E-Block: a tangible programming tool for children[J]. Mathematical Problems in Engineering,2013,(2013-2-12), 2013, 2013(1):71-72. 【IF：0.802】https://dl.acm.org/citation.cfm?id=2380327&CFID=989625299&CFTOKEN=24608933

会议论文列表如下：

  1. [1] Yang X, Wang D, Hu H, et al. P‐31: Visual Fatigue Assessment and Modeling Based on ECG and EOG Caused by 2D and 3D Displays[C]//SID Symposium Digest of Technical Papers. 2016, 47(1): 1237-1240.    https://www.researchgate.net/publication/303535280
  2. [2] Gao Y, Liu Y, Qian Y, et al. Study on the influence of 3D motion characteristics on the blinking rate[J]. Electronic Imaging, 2016, 2016(5): 1-7.   http://chinesesites.library.ingentaconnect.com/content/ist/ei/2016/00002016/00000005/art00018?crawler=true&mimetype=application/pdf
  3. [3] Wang D, Yang X, Hu H, et al. Visual Fatigue during Continuous Viewing the 3D Movie[J]. Electronic Imaging, 2016, 2016(5): 1-6.   http://xueshu.baidu.com/s?wd=paperuri:(42b77ff1f0bab899f0786c9b85e14798)&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http://www.ingentaconnect.com/content/ist/ei/2016/00002016/00000005/art00008&ie=utf-8&sc_us=8148805230182624886
  4. [4] D. Wang, Y. Xie, X. Yang, Y. Lu, and A. Guo, Subjective and objective evaluation of visual fatigue on viewing 3D display continuously, IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2015: 93910U-93910U-9.   https://www.researchgate.net/publication/282685599
  5. [5] Y. Huang, Y. Liu, B. Zou, Y. Wang, and D. Cheng, Study of objective evaluation indicators of 3D visual fatigue based on RDS related tasks, IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2015: 93910V-93910V-7.    https://www.researchgate.net/publication/282700814
  6. [6] B. Zou, Y. Liu, and Y. Wang, Study on the saccadic eye movement metric of visual fatigue induced by 3D display, Symposium Digest of Technical Papers. 2015, 46(1): 134-137. https://www.researchgate.net/publication/280913622
  7. [7] M. Guo, Y. Liu, B. Zou, and Y. Wang, Study of electroencephalography-based objective stereoscopic visual fatigue evaluation, ISBB International Symposium on Bioelectronics and Bioinformatics, in press, 2015.   https://www.researchgate.net/publication/307795633
  8. [8] G. Li, Y. Liu, and Y. Wang, Visual fatigue evaluation of stereoscopic display based on heart rate asymmetry and ordinal pattern statistics, ICVRV the 5th International Conference on Virtual Reality and Visualization, in press, 2015.   https://www.researchgate.net/publication/304549443
  9. [9] D. Wang, X. Yang, Y. Xie, and Z. Wan, A comprehensive evaluation of visual fatigue on viewing small autostereoscopic display, SID Symposium Digest of Technical Papers, 2015, 46(1): 1259-1262.   https://www.researchgate.net/publication/280913004
  10. [10] W. Song, D.Weng, D. Feng, Y. Liu, and Y. Wang, Evaluating visual discomfort in stereoscopic projection-based CAVE system with a close viewing distance, SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2015: 94951C-94951C-7.    https://www.researchgate.net/publication/277305826
  11. [11] B. Ma, H. Hu, J. Shen, Y. Zhang, and F. Porikli, Linearization to nonlinear learning for visual tracking, IEEE ICCV, in press, 2015.https://www.researchgate.net/publication/281976680
  12. [12] W. Wang, J. Shen, F. Porikli, Saliency-aware geodesic video object segmentation, IEEE CVPR, 3395-3402, 2015.   https://www.researchgate.net/publication/276421160
  13. [13] W. Song, D. Cheng, Y. Wang, and Y. Liu, Design of light field head-mounted display, International Optical Design Conference. International Society for Optics and Photonics, 2014: 92930J-92930J-6.    https://www.researchgate.net/publication/263784941
  14. [14] Yan X, Shen J, He Y, et al. Re-texturing by Intrinsic Video[C]// International Conference on Digital Image Computing: Techniques and Applications. IEEE Computer Society, 2010:486-491.   https://www.researchgate.net/publication/270110531
  15. Peng J, Shen J, Jia Y, et al. Saliency Cut in Stereo Images[C]// IEEE International Conference on Computer Vision Workshops. IEEE, 2014:22-28.   https://www.researchgate.net/publication/271550572
  16. Zou B, Liu Y, Huang Y, et al. Perceived crosstalk assessment on patterned retarder 3D display[C]// Conference on Stereoscopic Displays and Applications Xxv As. 2014:2978-2982.  https://www.researchgate.net/publication/262954332 Wang D, Qi Y, Zhang Y, et al. TanPro-kit: a tangible programming tool for children[C]// International Conference on Interaction Design and Children. ACM, 2013:344-347. https://www.researchgate.net/publication/261860722
  17. Song W, Zhu Q, Huang T, et al. Volumetric Display System Using Multiple Mini-Projectors[J]. Sid Symposium Digest of Technical Papers, 2013, 44(1):318–321. https://www.researchgate.net/publication/263567089

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