计算机学院

Large-scale three-dimensional measurement based on LED marker tracking

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Large-scale three-dimensional measurement via combining 3D scanner and laser rangefinder

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Variational Optical Flow Computation Assisted by Robust Point Matching

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3D reconstruction framework via combining one 3D scanner and multiple stereo trackers.

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Robust framework for three-dimensional measurement of dynamic deformable surface, Optical Engineering

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Method for three-dimensional measurement of dynamic deformable surfaces,Journal of Electronic Imaging

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Three-dimensional measurement of large-scale texture-less bending plates

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Dense 3D reconstruction and tracking of dynamic surface

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Accumulative image categorization: a personal photo classification method for progressive collection

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Progressive refinement: a method of coarse-to-fine image parsing using stacked network

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Assembly-based 3D Modeling using Graph Convolutional Neural Networks

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3D Shape Co-segmentation by Combining Sparse Representation with Extreme Learning Machine

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Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network

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Single View Depth Estimation via Dense Convolution Network with Self-supervision

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您是第345 Access

Research Focus

[2] Shi Jinlong, Sun Zhengxing. Large-scale three-dimensional measurement based on LED marker tracking[J]. The Visual Computer, 2016,32(2): 179-190.（SCI期刊，WOS:000371667200004）

[3] Shi Jinlong, Sun Zhengxing, Bai Suqin. Large-scale three-dimensional measurement via combining 3D scanner and laser rangefinder[J]. Applied optics, 2015, 54(10): 2814-2823. （SCI 期刊，WOS:000352152400037)

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[4] Shi Jinlong, Bai Suqin， Shu Xin. Variational Optical Flow Computation Assisted by Robust Point Matching[J]. Optik-International Journal for Light and Electron Optics, 2015.（SCI期刊，WOS:000368650800061）

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[5]ShiJinlong, Sun Zhengxing, and BaiSuqin. 3D reconstruction framework via combining one 3D scanner and multiple stereo trackers. The Visual Computer, 2018，34(3)：377-389.（SCI期刊，WOS:000425110900006）

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[6] Shi Jinlong, Chen YanQiu.Robust framework for three-dimensionalmeasurement of dynamicdeformable surface, Optical Engineering,51(6): 063604.1-063604.15,2012.( SCI期刊: 000305792200020)

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[7]Shi Jinlong, Liu Ye, Chen YanQiu. Method for three-dimensionalmeasurement of dynamic deformablesurfaces,Journalof Electronic Imaging, 21(3): 033023.1-033023.9，2012.( SCI期刊:000316105400007)

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[8] Bai Suqin, Shi Jinlong (*),Qian Qiang, Pang Linbin, Shu Xin.Three-dimensional measurement oflarge-scale texture-less bending plates. Electronic Imaging, 24(1): 013001.1- 013001.10，2015.( SCI期刊，WOS:000350466100002)

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[13] Shi Jinlong，Bai Suqin，Qian Qiang，Pang Linbin，Wang Zhi，Dense3D reconstruction and tracking of dynamic surface，Advances in Image andGraphics Technologies: Chinese Conference, IGTA2014,，213-223，2014.4.28-2014.4.29。（EI会议论文，Accession number: 20144600183595）

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[14] Hu Jiagao，Sun Zhengxing， Sun Yunhan，Shi Jinlong. Accumulative image categorization: a personal photo classification method for progressive collection[J]. Multimedia Tools and Applications, 2018, 77(24): 32179-32211. CCF C区

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[15]Hu Jiagao，Sun Zhengxing，Sun Yunhan，Shi Jinlong. Progressive refinement: a method of coarse-to-fine image parsing using stacked network[C]//2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018: 1-6.

(EI会议，CCF B区，Accession number: 20190706509174)

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[18]Lang Xufeng, Sun Zhengxing, Li Qian, Shi Jinlong, Assembly-based 3D Modeling using Graph Convolutional Neural Networks, PCM2018: Pacific-Rim Conference on Multimedia 2018, Hefei, China, September 21-22, 2018, Lecture Notes in Computer Science (PCM2018), 2018, Vol. 11166, pp. 326-337. CCF C

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[19]Li Hongyan, Sun Zhengxing, Li Qian, Shi Jinlong, 3D Shape Co-segmentation by Combining Sparse Representation with Extreme Learning Machine, PCM2018: Pacific-Rim Conference on Multimedia 2018, Hefei, China, September 21-22, 2018, Lecture Notes in Computer Science (PCM2018), 2018, Vol. 11166, pp. 570-581.