高林

gaolin (at) ict.ac.cn


中国科学院计算技术研究所副研究员,博士生导师,2014年在清华大学获得工学博士学位(导师:胡事民教授),2009年在四川大学获得理学学士学位(导师:罗懋康教授),2016年在德国亚琛工业大学进行公派访问研究(合作导师:Leif Kobbelt教授)

研究方向:计算机图形学,数字几何处理,几何学习,深度学习,三维计算机视觉
English


代表性论文(*为通讯作者)


2020年

A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao, Yu-Kun Lai, Fang-Lue Zhang, Chunpeng Li, Lin Gao*
Computational Visual Media, To Appear
Paper

DeepFaceDrawing: Deep Generation of Face Images from Sketches [画出心中的林妹妹]
Shu-Yu Chen#, Wanchao Su#, Lin Gao*, Shihong Xia, Hongbo Fu
ACM Transactions on Graphics (SIGGRAPH 2020), 2020,39(4)
Project

PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt
IEEE Transactions on Visualization and Computer Graphics,Minor Revision
Paper

Active Colorization for Cartoon Line Drawing
Shu-Yu Chen#, Jia-Qi Zhang#, Lin Gao*, Yue He, Min Shi, Shihong Xia, Fang-Lue Zhang
IEEE Transactions on Visualization and Computer Graphics,Minor Revision
Video

LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
IEEE Transactions on Visualization and Computer Graphics,Major Revision
Paper

Synthesizing Mesh Deformation Sequences with Bidirectional LSTM
Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao*
IEEE Transactions on Visualization and Computer Graphics,Major Revision

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

Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao*
Learning 3D Generative Models, CVPR 2020 Workshop
Paper

Automatic 3D Tooth Segmentation using Convolutional Neural Networks in Harmonic Parameter Space
Jianda Zhang, Chunpeng Li, Qiang Song, Lin Gao, Yu-Kun Lai
The Computational Visual Media Conference 2020 (Refer to Graphical Models)

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


2019年

SDM-NET: Deep Generative Network for Structured Deformable Mesh (Awarded the Replicability Stamp)
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao (Richard) Zhang
ACM Transactions on Graphics (SIGGRAPH ASIA 2019), 2019, 38(6), 243:1-243:15
Paper |  Project |  Video

ACAP: Sparse Data Driven Mesh Deformation
Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, Leif Kobbelt
IEEE Transactions on Visualization and Computer Graphics, 2019, To Appear
Paper |  Video

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

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

Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action Recognition
Yu-Hui Wen, Lin Gao*, Hongbo Fu, Fang-Lue Zhang, Shihong Xia
AAAI Conference on Artificial Intelligence, 2019, 8989-8996
Paper |  Code

Data-Driven Weight Optimization for Real-Time Mesh Deformation
Yu-jie Yuan, Yu-Kun Lai, Tong Wu, Shihong Xia, Lin Gao*
Graphical Models, 2019, 104
Paper


2018年

VC-GAN (VAE CYCLE GAN): Automatic Unpaired Shape Deformation Transfer (Awarded the Replicability Stamp)
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul Rosin, Weiwei Xu, Shihong Xia
ACM Transactions on Graphics (SIGGRAPH ASIA 2018), 2018, 37(6), 237:1-237:15
Paper |  Project |  Code |  Video

MeshVAE: Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan, Lin Gao*, Yu-Kun Lai, Shihong Xia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 5841-5850
Paper

SparseAE: Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan, Lin Gao*, Yu-Kun Lai, Jie Yang, Shihong Xia
AAAI Conference on Artificial Intelligence (spotlight), 2018, 2452-2459
Paper |  Code

SF-Net: Learning Scene Flow from RGB-D Images with CNNs
Yi-Ling Qiao, Lin Gao*, Yu-Kun Lai, Fang-Lue Zhang, Ming-Ze Yuan, Shihong Xia
The British Machine Vision Conference (BMVC), 2018, 281
Paper

Real-time 3D Face Reconstruction and Gaze Tracking for Virtual Reality
Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Paul L. Rosin, Shihong Xia
IEEE Conference on Virtual Reality (IEEE VR), 2018, 525-526
Paper |  Video

Bi-harmonic Deformation Transfer with Automatic Key Point Selection
Jie Yang, Lin Gao*, Yu-Kun Lai, Paul Rosin, Shihong Xia
Graphical Models, 2018, 98, 1-13
Paper


2017年

Data-Driven Shape Interpolation and Morphing Editing
Lin Gao, Shu-Yu Chen, Yu-Kun Lai, Shihong Xia
Computer Graphics Forum, 2017, 36(8), 19-31
Paper |  Video

Rigidity Controllable As-Rigid-As-Possible Shape Deformation
Shu-Yu Chen, Lin Gao*, Yu-Kun Lai and Shihong Xia
Graphical Models, 2017, 91, 13-27
Paper

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


2017年之前

RIMD: Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling
Lin Gao, Yu-Kun Lai, Dun Liang, Shu-Yu Chen, Shihong Xia
ACM Transactions on Graphics (Presented at SIGGRAPH 2016), 2016, 35(5), 158:1-158:17
Paper |  Video

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

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

An Optimization Approach for Extracting and Encoding Consistent Maps in a Shape Collection
Qixing Huang, Guoxin Zhang, Lin Gao, Shimin Hu, Adrian Bustcher, Leonidas Gui bas
ACM Transactions on Graphics (SIGGRAPH ASIA 2012), 2012, 31(6), 167:1--167:11
Paper

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



奖项




科研项目


  • 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 Details,2019/12-2021/11,74000英镑,在研,主持
  • 国家自然科学基金面上项目,61872440,数据驱动的三维模型合成技术研究,2019/01-2022/12,63万元, 在研,主持
  • 中国科学院计算技术研究所创新课题,深度几何学习基础与应用, 2019/05-2021/04, 100万元,在研,主持
  • 中国科协青年人才托举工程,2017-2019, 45万元,在研,主持
  • 中国科学院青年创新促进会,2019-2022, 80万元,在研,主持
  • 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,2019/8-2021/7, 100万元,在研,子课题负责人
  • 中科院计算所百星计划,2017-2020,10万元,在研,主持
  • 北京市自然科学基金-海淀原始创新联合基金重点研究项目,L182016,体数据实时变形与交互操作及其在肺癌手术仿真的应用,2018/12-2021/12,98万元,在研,子课题负责人
  • 深圳市大数据研究院开放课题基金,基于智能几何处理的肺癌手术导航与仿真,2019/07-2021/06, 80万元,在研,子课题负责人
  • 国家自然科学基金海外及港澳学者合作研究基金,61828204,基于单目图像的数据驱动几何模型重建,2019/01-2020/12, 18万元,在研,中方主持
  • 国家自然科学基金青年基金,61502453,数据驱动的非刚体几何模型注册新方法研究、2016/1-2018/12,24万元,在研,主持
  • 开放课题: 虚拟现实技术与系统国家重点实验室;模式识别国家重点实验室; 浙江大学CAD&CG国家重点实验室;移动计算与新型终端北京市重点实验室,2019/01-2020/12,在研,主持
  • 国家自然科学基金国际(地区)合作与交流项目,61611130215,基于数据驱动非刚体注册的人体运动重建,2016/4-2018/3,人民币9.97万元+英镑1万元,已结题,主持
  • 华为研究课题,三维模型变形与合成研究,2018-2019, 35万元,在研,主持
  • 商汤青年科研基金,三维体数据的表示方法,2018-2019,20万元,在研,主持
  • 中科院计算所-好未来联合实验室,2019-2020,30万元,在研,主持
  • CCF-腾讯犀牛鸟科研基金,基于条件生成对抗网络的线稿图着色方法,2018/8-2019/8,15万元,在研,主持
  • CCF-腾讯犀牛鸟科研基金,虚拟人物头肩模型研究,2016/8-2017/8,12万元,已结题,主持
  • 计算所创新课题,无标记高精度人体运动实时捕获技术与系统研究,2016/1-2018/12,100万元,在研,参加


Professionals




学生


在读博士生



在读硕士生



实习硕士生




本科实习生




毕业生


本科生



硕士生



一些古诗词


陋室铭



劝学



短歌行