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, 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: CN110889893B, 2021-10-08.

[2] 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.

[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] 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.

[5] 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.

[6] 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: CN110222556A, 2019-09-10.

[7] 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.

[8] 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: CN109544666A, 2019-03-29.

[9] 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. CN: CN108520513A, 2018-09-11.

[10] 高林. 一种基于数据驱动的模型处理方法及设备. CN: CN107316343A, 2017-11-03.

[11] 高林, 夏时洪, 陈姝宇. 一种对三维模型进行刚性变形的方法. CN: CN107221033A, 2017-09-29.

[12] 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: CN106296773A, 2017-01-04.

[13] 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: CN106023287A, 2016-10-12.

[14] 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: CN105957154A, 2016-09-21.

出版信息

   
发表论文
[1] 陈姝宇, 张加其, 高林, 何月, 夏时洪, 石敏, 张方略. Active Colorization for Cartoon Line Drawing. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)[J]. 2022, 28(4): 1198-1208, [2] 刘锋林, 陈姝宇, 来煜坤, 李淳芃, 姜悦人, 傅红波, 高林. DeepFaceVideoEditing: Sketch-based Deep Editing of Face Videos. ACM Transactions on Graphics (ACM SIGGRAPH 2022)[J]. 2022, 41(4): 167:1-167:16, [3] Dechao Meng, Liang Li, Xuejing Liu, Lin Gao, Qingming Huang. Viewpoint Alignment and Discriminative Parts Enhancement in 3D Space for Vehicle ReID. IEEE Transactions on Multimedia[J]. 2022, [4] Su, Wanchao, Ye, Hui, Chen, ShuYu, Gao, Lin, Fu, Hongbo. DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)[J]. 2022, [5] Huang, YiHua, He, Yue, Yuan, YuJie, Lai, YuKun, Gao, Lin. StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2022, [6] 乔怿凌, 来煜坤, 傅红波, 高林. Synthesizing Mesh Deformation Sequences with Bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics[J]. 2022, 28(4): 1906-1916, [7] 杨洁, 莫凯淳, 来煜坤, Guibas, Leonidas J, 高林. DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Transactions on Graphics (Present at ACM SIGGRAPH 2022)[J]. 2022, http://arxiv.org/abs/2008.05440.
[8] 乔怿凌, 高林, 杨洁, Rosin Paul L, 来煜坤, 陈熙霖. Learning on 3D Meshes with Laplacian Encoding and Pooling. IEEE Transactions on Visualization and Computer Graphics[J]. 2022, 28(2): 1317-1327, [9] 温玉辉, 高林, 傅红波, 张方略, 夏时洪, 刘永进. Motif-GCNs with Local and Non-Local Temporal Blocks for Skeleton-based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)[J]. 2022, [10] 石敏, 张加其, 陈姝宇, 高林, 来煜坤, 张方略. Reference-based Deep Line Art Video Colorization. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)[J]. 2022, [11] 袁宇杰, 孙阳天, 来煜坤, 马岳文, 贾荣飞, 高林. NeRF-Editing: Geometry Editing of Neural Radiance Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2022, [12] 陈姝宇, 来煜坤, 夏时洪, ROSIN Paul L., 高林. 3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction. IEEE Transactions on Multimedia[J]. 2022, [13] 孙阳天, 黄浩智, 王璇, 来煜坤, 刘威, 高林. Robust Pose Transfer with Dynamic Details using Neural Video Rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)[J]. 2022, http://arxiv.org/abs/2106.14132.
[14] 袁宇杰, 来煜坤, 杨洁, 段琦, 傅红波, 高林. 边收缩池化的网格变分自编码器. 中国图象图形学报. 2022, 27(2): 511-524, [15] 陈姝宇, 张加其, 赵悠悠, ROSIN Paul L., 来煜坤, 高林. A review of image and video colorization: From analogies to deep learning. Visual Informatics[J]. 2022, [16] 乔怿凌, 高林, 刘树智, 刘利刚, 来煜坤, 陈熙霖. Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)(Presented at CVM 2022)[J]. 2022, [17] 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.
[18] 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. IEEE International Conference on Computer Visionnull. 2021, 10933-10942, [19] Ai Hua Mao, Canglan Dai, Lin Gao, Yong-Jin Liu. STD-Net: Structure-preserving and Topology-adaptive Deformation Network for Single-View 3D Reconstruction. IEEE Transactions on Visualization and Computer Graphics[J]. 2021, [20] 谈清扬, 张凌霄, 杨洁, 来煜坤, 高林. Variational Autoencoders for Localized Mesh Deformation Component Analysis. IEEE Transactions on Pttern Analysis and Machine Intelligence (IEEE TPAMI)[J]. 2021, [21] 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. ACM Transactions on Graphics[J]. 2021, 40(4): 90:1-90:15, http://arxiv.org/abs/2105.08935.
[22] 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.
[23] 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.
[24] Gao, Lin, Wu, Tong, Yuan, YuJie, Lin, MingXian, Lai, YuKun, Zhang, Hao. TM-NET: Deep Generative Networks for Textured Meshes. ACM Transactions on Graphics[J]. 2021, 40(6): 263:1-263:15, http://arxiv.org/abs/2010.06217.
[25] 温玉辉, 杨志鹏, 傅红波, 高林, 孙亚男, 刘永进. Autoregressive Stylized Motion Synthesis with Generative Flow. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2021, 13612-13621, [26] Gao, Lin, Zhang, LingXiao, Meng, HsienYu, Ren, YiHui, Lai, YuKun, Kobbelt, Leif. PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS[J]. 2021, 27(6): 3007-3018, http://dx.doi.org/10.1109/TVCG.2020.3003823.
[27] 林明仙, 杨洁, 王鹤, 来煜坤, 贾荣飞, 赵斌强, 高林. Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. IEEE International Conference on Computer Vision (ICCV)null. 2021, 11405-11415, [28] Tang, JiaHeng, Chen, Weikai, Yang, Jie, Wang, Bo, Liu, Songrun, Yang, Bo, Gao, Lin. OctField: Hierarchical Implicit Functions for 3D Modeling. The Thirty-Fifth Annual Conference on Neural Information Processing Systemsnull. 2021, 12648-12660, [29] Yang, Jie, Gao, Lin, Tan, Qingyang, Huang, Yihua, Xia, Shihong, Lai, YuKun. Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders. IEEE Transactions on Visualization and Computer Graphics[J]. 2021, [30] 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.
[31] 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.
[32] 袁宇杰, 来煜坤, 杨洁, 傅红波, 高林. Mesh Variational Autoencoders with Edge Contraction Pooling. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) workshopnull. 2020, http://arxiv.org/abs/1908.02507.
[33] 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.
[34] 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.
[35] 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.
[36] 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.
[37] Meng, HsienYu, Gao, Lin, Lai, YuKun, Manocha, Dinesh. VV-NET: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)[J]. 2019, 8499-8507, [38] 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.
[39] 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.
[40] Yuan, MingZe, Gao, Lin, Fu, Hongbo, Xia, Shihong. Temporal Upsampling of Depth Maps Using a Hybrid Camera. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS[J]. 2019, 25(3): 1591-1602, https://www.webofscience.com/wos/woscc/full-record/WOS:000457824500012.
[41] 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.
[42] Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang, Ming-Ze Yuan, Shihong Xia. SF-Net: Learning Scene Flow from RGB-D Images with CNNs. BMVC 2018[J]. 2018, [43] 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.
[44] Gao, Lin, Yang, Jie, Qiao, YiLing, Lai, YuKun, Rosin, Paul L, Xu, Weiwei, Xia, Shihong. Automatic Unpaired Shape Deformation Transfer. ACM Transactions on Graphics (ACM SIGGRAPH Asia 2018)[J]. 2018, 37(6): 237:1-237:15, https://www.webofscience.com/wos/woscc/full-record/WOS:000455953100060.
[45] Tan Qingyang, Gao Lin, Lai YuKun, Yang Jie, Xia Shihong. 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 INTELLIGENCE[J]. 2018, 2452-2459, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488902065.
[46] Tan, Qingyang, Gao, Lin, Lai, YuKun, Xia, Shihong. Variational Autoencoders for Deforming 3D Mesh Models. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)[J]. 2018, 5841-5850, [47] 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.
[48] 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.
[49] 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.
[50] 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.
[51] 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.
[52] 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.
[53] 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.
[54] Huang, QiXing, Zhang, GuoXin, Gao, Lin, Hu, ShiMin, Butscher, Adrian, Guibas, Leonidas. An Optimization Approach for Extracting and Encoding Consistent Maps in a Shape Collection. ACM TRANSACTIONS ON GRAPHICS[J]. 2012, 31(6): http://dx.doi.org/10.1145/2366145.2366186.
[55] 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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