高林  男  博导  中国科学院计算技术研究所
电子邮件: gaolin@ict.ac.cn
通信地址: 科学院南路6号中科院计算所
邮政编码:

研究领域

请参考这个主页:www.geometrylearning.com

计算机图形学与虚拟现实,数字几何处理

教育背景

2009-09--2014-07   清华大学   博士
2005-09--2009-06   四川大学   学士

工作经历

   
工作简历
2016-10~现在, 中国科学院计算技术研究所, 副研究员
2016-02~2017-02,德国亚琛工业大学, 访问学者
2014-07~2016-09,中国科学院计算技术研究所, 助理研究员

教授课程

计算机图形学基础
计算机图形学
15级本科毕业论文指导

专利与奖励

   
专利成果
[1] 高林, 傅红波, 苏万超. 基于草图的人脸图像生成方法及系统. CN: CN111915693A, 2020-11-10.

[2] 高林, 杨洁, 乔怿凌, 夏时洪. 一种全自动的模型变形传播方法和系统. CN: CN109544666B, 2020-10-16.

[3] 高林, 袁宇杰, 刘波, 胡伟. 一种模型处理的方法、形变控制方法及相关设备. CN: CN111768504A, 2020-10-13.

[4] 夏时洪, 温玉辉, 高林, 钟重阳. 一种人体动作识别系统及方法. CN: CN111460928A, 2020-07-28.

[5] 高林. 一种基于数据驱动的模型处理方法及设备. CN: CN107316343B, 2020-04-07.

[6] 高林, 杨洁, 吴桐, 袁宇杰. 表达几何细节和复杂拓扑的三维模型表示方法和系统. CN: CN110889893A, 2020-03-17.

[7] 高林, 杨洁, 夏时洪, 来煜坤. 基于大尺度网格模型表示的实时稀疏编辑方法和系统. CN: CN110544309A, 2019-12-06.

[8] 夏时洪, 李新乐, 高林. 一种生成多层次矢量图的方法与装置. CN: CN106296773B, 2019-11-29.

[9] 高林, 张加其, 陈姝宇, 郑规. 一种线稿图像上色的方法及装置. CN: CN110264478A, 2019-09-20.

[10] 高林, 夏时洪, 陈姝宇. 一种数据驱动的交互式三维动画合成方法及系统. CN: CN106023287B, 2019-06-18.

[11] 高林, 刘婷婷, 袁坤, 黄婷婷. 视线追踪方法、装置、设备和存储介质. CN: CN109696954A, 2019-04-30.

[12] 高林, 夏时洪, 陈姝宇. 一种数据驱动的三维模型编辑方法及系统. CN: CN105957154B, 2019-04-30.

[13] 高林, 乔怿凌, 谈清扬, 杨洁, 夏时洪. 一种三维模型局部变形分量提取方法和系统. 中国: CN108520513A, 2018-09-11.

[14] 高林, 夏时洪, 陈姝宇. 一种对三维模型进行刚性变形的方法. 中国: CN107221033A, 2017.09.29.

出版信息

   
发表论文
[1] Gao, Lin, Lai, YuKun, Yang, Jie, Zhang, LingXiao, Xia, Shihong, Kobbelt, Leif. Sparse Data Driven Mesh Deformation. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS[J]. 2021, 27(3): 2085-2100, https://www.webofscience.com/wos/woscc/full-record/WOS:000613744500016.
[2] Fu, Huan, Cai, Bowen, Gao, Lin, Zhang, Lingxiao, Li, Jiaming Wang Cao, Xun, Zengqi, Sun, Chengyue, Jia, Rongfei, Zhao, Binqiang, Zhang, Hao. 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. 2021, http://arxiv.org/abs/2011.09127.
[3] 高林. Variational Autoencoders for Localized Mesh Deformation Component Analysis. IEEE Transactions on Pttern Analysis and Machine Intelligence (IEEE TPAMI). 2021, [4] Chen, ShuYu, Liu, FengLin, Lai, YuKun, Rosin, Paul L, Li, Chunpeng, Fu, Hongbo, Gao, Lin. DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control. 2021, http://arxiv.org/abs/2105.08935.
[5] Yuan, YuJie, Lai, YuKun, Wu, Tong, Gao, Lin, Liu, Ligang. A Revisit of Shape Editing Techniques: From the Geometric to the Neural Viewpoint. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2021, 36(3): 520-554, http://dx.doi.org/10.1007/s11390-021-1414-9.
[6] Gao, Lin, Wu, Tong, Yuan, YuJie, Lin, MingXian, Lai, YuKun, Zhang, Hao. TM-NET: Deep Generative Networks for Textured Meshes. 2021, http://arxiv.org/abs/2010.06217.
[7] 高林. Autoregressive Stylized Motion Synthesis with Generative Flow. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021, [8] Fu, Huan, Jia, Rongfei, Gao, Lin, Gong, Mingming, Zhao, Binqiang, Maybank, Steve, Tao, Dacheng. 3D-FUTURE: 3D Furniture Shape with TextURE. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2021, 129(12): 3313-3337, http://dx.doi.org/10.1007/s11263-021-01534-z.
[9] 高林. Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. IEEE International Conference on Computer Vision (ICCV). 2021, [10] Tang, JiaHeng, Chen, Weikai, Yang, Jie, Wang, Bo, Liu, Songrun, Yang, Bo, Gao, Lin. OctField: Hierarchical Implicit Functions for 3D Modeling. 2021, [11] 高林. Active Colorization for Cartoon Line Drawing. IEEE Transactions on Visualization and Computer Graphics. 2020, [12] Tan, Qingyang, Pan, Zherong, Gao, Lin, Manocha, Dinesh. Realtime Simulation of Thin-Shell Deformable Materials Using CNN-Based Mesh Embedding. IEEE ROBOTICS AND AUTOMATION LETTERS[J]. 2020, 5(2): 2325-2332, https://www.webofscience.com/wos/woscc/full-record/WOS:000526572000030.
[13] Gao, Lin, Zhang, LingXiao, Meng, HsienYu, Ren, YiHui, Lai, YuKun, Kobbelt, Leif. PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models. 2020, http://arxiv.org/abs/1910.06511.
[14] Xiao, YunPeng, Lai, YuKun, Zhang, FangLue, Li, Chunpeng, Gao, Lin. A survey on deep geometry learning: From a representation perspective. COMPUTATIONAL VISUAL MEDIAnull. 2020, 6(2): 113-133, http://lib.cqvip.com/Qikan/Article/Detail?id=7102801196.
[15] 高林. Synthesizing Mesh Deformation Sequences with Bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics. 2020, [16] Zhang, Jianda, Li, Chunpeng, Song, Qiang, Gao, Lin, Lai, YuKun. Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space. GRAPHICAL MODELS[J]. 2020, 109: http://dx.doi.org/10.1016/j.gmod.2020.101071.
[17] Bian, Shaojun, Zheng, Anzong, Gao, Lin, Maguire, Greg, Kokke, Willem, Macey, Jon, You, Lihua, Zhang, Jian J. Fully Automatic Facial Deformation Transfer. SYMMETRY-BASEL[J]. 2020, 12(1): http://dx.doi.org/10.3390/sym12010027.
[18] Chen, ShuYu, Su, Wanchao, Gao, Lin, Xia, Shihong, Fu, Hongbo. DeepFaceDrawing: Deep Generation of Face Images from Sketches. ACM TRANSACTIONS ON GRAPHICS[J]. 2020, 39(4): http://dx.doi.org/10.1145/3386569.3392386.
[19] Yang, Jie, Gao, Lin, Tan, Qingyang, Huang, Yihua, Xia, Shihong, Lai, YuKun. Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders. 2020, http://arxiv.org/abs/2012.02459.
[20] Gao, Lin, Yang, Jie, Wu, Tong, Yuan, YuJie, Fu, Hongbo, Lai, YuKun, Zhang, Hao. SDM-NET: Deep Generative Network for Structured Deformable Mesh. ACM TRANSACTIONS ON GRAPHICS[J]. 2019, 38(6): http://dx.doi.org/10.1145/3355089.3356488.
[21] Meng, HsienYu, Gao, Lin, Lai, YuKun, Manocha, Dinesh, IEEE. VV-NET: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 8499-8507, [22] Yuan YuJie, Lai YuKun, Yang Jie, Fu Hongbo, Gao Lin. Mesh Variational Autoencoders with Edge Contraction Pooling. 2019, http://arxiv.org/abs/1908.02507.
[23] Qiao YiLing, Gao Lin, Yang Jie, Rosin Paul L, Lai YuKun, Chen Xilin. LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling. 2019, http://arxiv.org/abs/1910.14063.
[24] Wen, YuHui, Gao, Lin, Fu, Hongbo, Zhang, FangLue, Xia, Shihong, AAAI. Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 8989-8996, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572503066.
[25] Yuan, YuJie, Lai, YuKun, Wu, Tong, Xia, Shihong, Gao, Lin. Data-driven weight optimization for real-time mesh deformation. GRAPHICAL MODELS[J]. 2019, 104: 101037-, http://dx.doi.org/10.1016/j.gmod.2019.101037.
[26] Chen, ShuYu, Gao, Lin, Lai, YuKun, Rosin, Paul L, Xia, Shihong, Kiyokawa, K, Steinicke, F, Thomas, B, Welch, G. Real-time 3D Face Reconstruction and Gaze Tracking for Virtual Reality. 25TH 2018 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR)null. 2018, 525-526, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000518410600079.
[27] Shihong Xia. SF-Net: Learning Scene Flow from RGB-D Images with CNNs. BMVC 2018. 2018, [28] Yang, Jie, Gao, Lin, Lai, YuKun, Rosin, Paul L, Xia, Shihong. Biharmonic deformation transfer with automatic key point selection. GRAPHICAL MODELSnull. 2018, 98: 1-13, http://dx.doi.org/10.1016/j.gmod.2018.05.003.
[29] Gao, Lin, Yang, Jie, Qiao, YiLing, Lai, YuKun, Rosin, Paul L, Xu, Weiwei, Xia, Shihong, Assoc Comp Machinery. Automatic Unpaired Shape Deformation Transfer. SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERSnull. 2018, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000455637100059.
[30] Tan Qingyang, Gao Lin, Lai YuKun, Yang Jie, Xia Shihong, AAAI. Mesh-Based Autoencoders for Localized Deformation Component Analysis. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 2452-2459, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488902065.
[31] Tan, Qingyang, Gao, Lin, Lai, YuKun, Xia, Shihong, IEEE. Variational Autoencoders for Deforming 3D Mesh Models. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 5841-5850, [32] Chen, ShuYu, Gao, Lin, Lai, YuKun, Xia, Shihong. Rigidity controllable as-rigid-as-possible shape deformation. GRAPHICAL MODELS[J]. 2017, 91: 13-21, http://dx.doi.org/10.1016/j.gmod.2017.02.005.
[33] Gao, Lin, Chen, ShuYu, Lai, YuKun, Xia, Shihong. Data-Driven Shape Interpolation and Morphing Editing. COMPUTER GRAPHICS FORUM[J]. 2017, 36(8): 19-31, https://www.webofscience.com/wos/woscc/full-record/WOS:000417496200002.
[34] Xia, Shihong, Gao, Lin, Lai, YuKun, Yuan, MingZe, Chai, Jinxiang. A Survey on Human Performance Capture and Animation. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2017, 32(3): 536-554, https://www.webofscience.com/wos/woscc/full-record/WOS:000401069100011.
[35] Gao, Lin, Lai, YuKun, Liang, Dun, Chen, ShuYu, Xia, Shihong. Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling. ACM TRANSACTIONS ON GRAPHICS[J]. 2016, 35(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000384325000009.
[36] Gao, Lin, Cao, YanPei, Lai, YuKun, Huang, HaoZhi, Kobbelt, Leif, Hu, ShiMin. Active Exploration of Large 3D Model Repositories. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS[J]. 2015, 21(12): 1390-1402, https://www.webofscience.com/wos/woscc/full-record/WOS:000364037400008.
[37] Gao, Lin, Lai, YuKun, Huang, QiXing, Hu, ShiMin. A Data-Driven Approach to Realistic Shape Morphing. COMPUTER GRAPHICS FORUM[J]. 2013, 32(2): 449-457, http://dx.doi.org/10.1111/cgf.12065.
[38] GAO Lin, ZHANG GuoXin, LAI YuKun. L_p shape deformation. 中国科学:信息科学(英文版). 2012, 55(5): 983-993, http://lib.cqvip.com/Qikan/Article/Detail?id=41554524.
[39] 高林. An Optimization Approach for Extracting and Encoding aConsistent Maps in a Shape Collection. ACM Transactions on Graphics. 2012, [40] Yuan, Ming-Ze, Gao, Lin, Fu, Hongbo, Xia, Shihong. Temporal Upsampling of Depth Maps Using a Hybrid Camera. http://arxiv.org/abs/1708.03760.

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