高林  副研究员  

研究方向:智能计算机图形学;三维计算机视觉;医学影像分析

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:

201912月— 今:中科院计算所,博士生导师

20169月 — 今:中科院计算所,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, Efficient and 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

[2] 中国科学院科技服务网络计划(STS)区域重点项目,面向眼健康管理的智能无人巡诊系统及大数据平台建设,2021/01-2022/12225万元,在研,主持

[3] 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 Details2019/12-2021/1174000英镑,在研,主持

[4] 国家科技计划,基于智能芯片的高质量图形内容合成方法研究,2020/11-2021/1180万元,在研,课题负责人

[5] 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,2019/01-2022/1263万元,在研,主持

[6] 国际科技合作/港澳台科技合作专项,基于深度生成网络的高质量三维模型的重建与绘制方法,2019/8-2021/7100万元,在研,课题负责人 

获奖及荣誉:

[1] 共青团中央全国向上向善好青年,2021

[2] 亚洲图形学会青年学者奖(每年一位获奖人), 2020

[3] 中国计算机学会-腾讯犀牛鸟基金卓越奖, 2019

[4] 英国皇家学会牛顿高级学者, 2019

[5] CCF科学技术奖技术发明一等奖, 2018

[6] 中国仿真学会科技进步类一等奖, 2017

[7] 中科院计算所卓越之星,2017