高林  研究员  

研究方向:

所属部门:泛在计算系统研究中心

导师类别:博导计算机应用技术

联系方式:gaolin@ict.ac.cn

个人网页:www.geometrylearning.com/cn

简       历:

2024年7月— 至今:中国科学院计算技术研究所,泛在计算系统研究中心副主任,研究员

2023年9月 — 2024年7月:中国科学院计算技术研究所,研究员

201912月 — 至今:中国科学院计算技术研究所,博士生导师

20169月 — 2023年9月:中国科学院计算技术研究所,副研究员

20162月 — 20172月:德国亚琛工业大学, 公派访问学者

20147月 — 20169月:前瞻研究实验室,助理研究员

20097月 — 20147月:清华大学,计算机科学与技术系,工学博士

20059月 — 20096月:四川大学,数学学院,理学学士

主要论著:

*为通讯作者

[1] Lin Gao,Tong Wu,Yu-Jie Yuan,Ming-Xian Lin,Yu-Kun Lai,Hao (Richard) Zhang,TM-NET: Deep Generative Networks for Textured Meshes,ACM SIGGRAPH/TOG,2021,40(6),1-15.

[2] Shu-Yu Chen#,Feng-Lin Liu#,Yu-Kun Lai,Paul Rosin,Chun-Peng Li,Hongbo Fu,Lin Gao*DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control,ACM SIGGRAPH/TOG,2021,40(4),90:1-90:15.

[3] Qingyang Tan#,Ling-Xiao Zhang#,Jie Yang,Yu-Kun Lai,Lin Gao*,Variational Autoencoders for Localized Mesh Deformation Component Analysis,IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI),2021.

[4] Lin Gao*,Ling-Xiao Zhang,Hsien-Yu Meng,Yi-Hui Ren,Yu-Kun Lai,Leif Kobbelt, PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2021,27(6),3007-3018.

[5] Lin Gao,Yu-Kun Lai,Jie Yang,Ling-Xiao Zhang,Shihong Xia,Leif Kobbelt,Sparse Data Driven Mesh Deformation,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2021,27(3),2085-2100.

[6] Mingxian Lin,Jie Yang,He Wang,Yu-Kun Lai,Rongfei Jia,Binqiang Zhao, Lin Gao*,Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning,IEEE International Conference on Computer Vision (IEEE ICCV),2021.

[7] Huan Fu,Bowen Cai, Lin Gao,Ling-Xiao Zhang,Jiaming Wang,Cao Li,Qixun Zeng,Chengyue Sun,Rongfei Jia,Binqiang Zhao,Hao (Richard) Zhang,3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics,IEEE International Conference on Computer Vision (IEEE ICCV),2021.

[8] Yu-Hui Wen#,Zhipeng Yang#,Hongbo Fu, Lin Gao*,Yanan Sun,Yong-Jin Liu*,Autoregressive Stylized Motion Synthesis with Generative Flow,IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR),2021,13612-13621.

[9] Yu-Jie Yuan,Yu-Kun Lai,Tong Wu,Lin Gao*,Ligang Liu,A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint,Journal of Computer Science and Technology (JCST),2021,36,520-554.

[10] Shu-Yu Chen#,Wanchao Su#,Lin Gao*,Shihong Xia,Hongbo Fu,DeepFaceDrawing: Deep Generation of Face Images from Sketches,ACM SIGGRAPH/TOG,2020,39(4),72:1-72:16.

[11] Shu-Yu Chen,Jia-Qi Zhang,Lin Gao*,Yue He,Shihong Xia,Min Shi,Fang-Lue Zhang Active Colorization for Cartoon Line Drawings,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2020.

[12] Yi-Ling Qiao,Yu-Kun Lai,Hongbo Fu,Lin Gao*,Synthesizing Mesh Deformation Sequences with Bidirectional LSTM,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2020.

[13] Yi-Ling Qiao,Lin Gao*,Jie Yang,Paul L. Rosin,Yu-Kun Lai,Xilin Chen,Learning on 3D Meshes with Laplacian Encoding and Pooling,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2020.

[14] Yun-Peng Xiao,Yu-Kun Lai,Fang-Lue Zhang,Chunpeng Li,Lin Gao*,A Survey on Deep Geometry Learning: From a Representation Perspective,Computational Visual Media,2020,6,113-133.

[15] Qingyang Tan,Zherong Pan, Lin Gao,Dinesh Manocha,Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding,IEEE Robotics and Automation Letters,2020,5(2),2325-2332.

[16] Yu-Jie Yuan,Yu-Kun Lai,Jie Yang,Qi Duan,Hongbo Fu, Lin Gao*,Mesh Variational Autoencoders with Edge Contraction Pooling,IEEE CVPR 2020 Workshop.

[17] Jianda Zhang,Chunpeng Li,Qiang Song, Lin Gao, Yu-Kun Lai,Automatic 3D Tooth Segmentation using Convolutional Neural Networks in Harmonic Parameter Space,Graphical Models,2020,109.

[18] Shaojun Bian,Anzong Zheng, Lin Gao, Greg Maguire,Willem Kokke,Jon Macey,Lihua You,Jian-Jun Zhang,Fully Automatic Facial Deformation Transfer,Symmetry,2020,12(1),27.

[19] Lin Gao*,Jie Yang,Tong Wu,Yu-Jie Yuan,Hongbo Fu,Yu-Kun Lai,Hao (Richard) Zhang,SDM-NET: Deep Generative Network for Structured Deformable Mesh,ACM SIGGRAPH/TOG,2019,38(6),243:1-243:15.

[20] Ming-Ze Yuan, Lin Gao*,Hongbo Fu,Shihong Xia,Temporal Upsampling of Depth Maps Using a Hybrid Camera,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2019,25(3),1591-1602.

[21] Hsien-Yu Meng, Lin Gao*,Yu-Kun Lai,Dinesh Manocha,VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation,IEEE International Conference in Computer Vision (IEEE ICCV),2019,8499-8507.

[22] Yu-Hui Wen, Lin Gao*,Hongbo Fu,Fang-Lue Zhang,Shihong Xia,Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action Recognition,The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI),2019,8989-8996.

[23] Yu-Jie Yuan,Yu-Kun Lai,Tong Wu,Shihong Xia, Lin Gao*,Data-Driven Weight Optimization for Real-Time Mesh Deformation,Graphical Models,2019,104.

[24] Lin Gao,Jie Yang,Yi-Ling Qiao,Yu-Kun Lai,Paul Rosin,Weiwei Xu,Shihong Xia,Automatic Unpaired Shape Deformation Transfer, ACM SIGGRAPH/TOG,2018,37(6),237:1-237:15.

[25] Jie Yang,Lin Gao*,Yu-Kun Lai,Paul L. Rosin,Shihong Xia,Biharmonic Deformation Transfer with Automatic Key Point Selection,Graphical Models,2018,98,1-13.

[26] Qingyang Tan,Lin Gao*,Yu-Kun Lai,Shihong Xia,Variation Autoencoders for Deforming 3D Mesh Models,IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR),2018,5841-5850.

[27] Qingyang Tan,Lin Gao*,Yu-Kun Lai,Jie Yang,Shihong Xia,Mesh-based Autoencoders for Localized Deformation Component Analysis,AAAI Conference on Artificial Intelligence (AAAI),2018,2452-2459.

[28] Shu-Yu Chen,Lin Gao*,Yu-Kun Lai,Paul L. Rosin,Shihong Xia,Realtime 3D Face Reconstruction and Gaze Tracking for Virtual Reality,The 25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR),2018,525-526.

[29] 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,British Machine Vision Conference (BMVC),2018,281.

[30] Shu-Yu Chen,Lin Gao*,Yu-Kun Lai,Shihong Xia,Rigidity Controllable As-Rigid-As-Possible Shape Deformation,Graphical Models,2017,91,13-21.

[31] Lin Gao*,Shu-Yu Chen,Yu-Kun Lai,Shihong Xia,Data-Driven Shape Interpolation and Morphing Editing,Computer Graphics Forum (Eurographics 2017),2017,36(8),19-31.

[32] Shihong Xia, Lin Gao*,Yu-Kun Lai,Ming-Ze Yuan,Jinxiang Chai,A Survey on Human Performance Capture and Animation,Journal of Computer Science and Technology (JCST),2017,32(3),536-554.

[33] Lin Gao*,Yu-Kun Lai,Dun Liang,Shu-Yu Chen,Shihong Xia,Efficientand Flexible Deformation Representation for Data-Driven Surface Modeling,ACM SIGGRAPH/TOG,2016,35(5),158:1-158:17.

[34] Lin Gao*,Yan-Pei Cao,Yu-Kun Lai,Hao-Zhi Huang,Leif Kobbelt,Shi-Min Hu,Active Exploration of Large 3D Model Repositories,IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG),2015,12(21),1390-1402.

[35] Lin Gao,Yu-Kun Lai,Qixing Huang,Shi-Min Hu,A Data-Driven Approach to Realistic Shape Morphing,Computer Graphics Forum (Eurographics 2013),2013,32(2),449-457.

[36] Qi-Xing Huang,Guo-Xin Zhang,Lin Gao,Shi-Min Hu,Adrian Butscher,Leonidas Guibas,An optimization approach for extracting and encoding consistent maps in a shape collection,ACM SIGGRAPH/TOG,2012,31(6),167:1-167:11.

[37] Lin Gao*,Guo-Xin Zhang,Yu-Kun Lai,Lp Shape Deformation,Science China Information Sciences,2012,55(5),983-993.

科研项目:

[1] 国家自然科学基金优秀青年科学基金项目,计算机图形学,2024/01 - 2026/12200万元,在研,主持

[2] 国家自然科学基金国际合作研究项目,基于深度几何表示的三维模型分析与建模方法研究,2021/01 - 2023/12300万元,在研,主持

[3] 北京市杰出青年科学基金项目,智能数字媒体分析和合成方法研究,2021/11-2024/12,100万元,在研,主持

[4] 国家自然科学基金面上项目,数据驱动的三维模型合成技术研究,2019/01-2022/12,结题,主持

[5] 英国皇家学会牛顿高级学者基金,Deep Representations for Analysis and Reconstruction of 3D Shapes with Complex Structure and Rich Details2019/12-2021/11,结题,主持

获奖及荣誉:

[1] 吴文俊人工智能优秀青年奖,2022

[2] 中科院计算所卓越之星,2022

[3] 共青团中央全国向上向善好青年,2021

[4] 中国计算机学会CAD&CG专委会图形开源奖,2021

[5] 亚洲图形青年学者奖,2020

[6] 英国皇家学会牛顿高级学者,2019

[7] CCF科学技术奖技术发明一等奖,2018