By Last Name
GAO LinAssociate Professor
Research Areas:
Geometry Learning;Mesh Processing;3D Computer Vision
Department:
Research Center For Ubiquitous Computing Systems
Tutor Category:
Contact:
gaolin@ict.ac.cn
Personal Page:
www.geometrylearning.com/lin
Dr. Lin Gao is an associate professor (PhD supervisor) with Institute of Computing Technology, Chinese Academy of Sciences. He received PhD degree from Tsinghua University in 2014 under the guidance of Prof. Shi-Min Hu, and was a visiting professor in Prof. Leif Kobbelt group at RWTH Aachen University in 2016. He published more than 60 papers in internationally renowned journals and conferences in related fields, including 31 papers in ACM SIGGRAPH\TOG (10), IEEE TPAMI (6) and IEEE TVCG (15), and 11 papers in CVPR\ICCV\NeurIPS\AAAI. He was selected into the Distinguished Young Scholars of Beijing Municipal Natural Science Foundation, Newton Advanced Fellowship of Royal Society, Young Elite Scientists Sponsorship by CAST, and won Young Researcher Award of Asia Graphics Association, the First-Class Technological Invention Award of China Computer Federation.
Research
2023
1. Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang, SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
2. Zhaoyang Zhang, Junliang Chen, Hongbo Fu, Jianjun Zhao, Shu-Yu Chen, Lin Gao*, Text2Face: Text-based Face Generation with Geometry and Appearance Control, International Conference on Computational Visual Media 2023 (Recommended to IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)).
3. Xiaoyan Hu#, Ling-Xiao Zhang#, Lin Gao*, Weiwei Dai, Xiaoguang Han, Yu-Kun Lai, Yiqiang Chen*, GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images, IEEE Transactions on Medical Imaging (IEEE TMI), To Appear.
4. Shu-Yu Chen, Yue-Ren Jiang, Hongbo Fu, Xinyang Han, Zitao Liu, Rong Li, Lin Gao*, DeepFaceReshaping: Interactive Deep Face Reshaping via Landmark Manipulation, International Conference on Computational Visual Media 2023 (Recommended to Computational Visual Media Journal).
5. Yue-Ren Jiang#, Shu-Yu Chen#, Hongbo Fu, Lin Gao*, Identity-aware and Shape-aware Propagation of Face Editing in Videos, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear.
6. Zhipeng Yang#, Yu-Hui Wen#, Shu-Yu Chen, Xiao Liu, Yuan Gao, Yong-Jin Liu*, Lin Gao*, Hongbo Fu, Keyframe Control of Music-driven 3D Dance Generation, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear.
7. Hang Zhou, Rui Ma, Ling-Xiao Zhang, Lin Gao, Ali Mahdavi-Amiri, Richard Zhang, SAC-GAN: Structure-Aware Image Composition, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear.
2022
1. Feng-Lin Liu, Shu-Yu Chen, Yu-Kun Lai, Chun-Peng Li, Yue-Ren Jiang, Hongbo Fu, Lin Gao*, DeepFaceVideoEditing: Sketch-based Deep Editing of Face Videos. ACM Transactions on Graphics (ACM SIGGRAPH 2022), 2022, 41(4), 167:1-167:16.
2. Jie Yang#, Kaichun Mo#, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao*, DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Transactions on Graphics (Presented at ACM SIGGRAPH 2022), 2022.
3. Kaiwen Jiang, Shu-Yu Chen, Feng-Lin Liu, Hongbo Fu, Lin Gao*, NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields, ACM SIGGRAPH Asia 2022 (Conference Track).
4. Yu-Jie Yuan, Yu-Kun Lai, Yi-Hua Huang, Leif Kobbelt, Lin Gao*, RGBDNeRF: Neural Radiance Fields from Sparse RGB-D Images for High-Quality View Synthesis, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.
5. Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao*, Human Motion Transfer with 3D Constraints and Detail Enhancement, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.
6. Yang-Tian Sun, Hao-Zhi Huang, Xuan Wang, Yu-Kun Lai, Wei Liu, Lin Gao*, Robust Pose Transfer with Dynamic Details using Neural Video Rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.
7. Yu-Hui Wen, Lin Gao*, Hongbo Fu, Fang-Lue Zhang, Shihong Xia, Yong-Jin Liu*, Motif-GCNs with Local and Non-Local Temporal Blocks for Skeleton-based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.
8. Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao*, HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies, The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
9. Yu-Jie Yuan#, Yang-Tian Sun#, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao*, NeRF-Editing: Geometry Editing of Neural Radiance Fields. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2022.
10. Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao*, StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2022.
11. Wei Yang, Yi Wang, Lin Gao*, Di Zhang, Jie Yang, Zhijie Qiu, Sci-tech arts on Chang’e-5 lunar soil. The Innovation, 2022, 3(5), 100300, 2022.
12. Wanchao Su, Hui Ye, Shu-Yu Chen, Lin Gao*, Hongbo Fu, DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022.
13. Yi-Ling Qiao, Lin Gao*, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen, Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) (Presented at CVM 2022), 2022.
14. 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), 2022, 28(2), 1317-1327.
15. Shu-Yu Chen#, Jia-Qi Zhang#, Lin Gao*, Yue He, Shihong Xia, Min Shi, Fang-Lue Zhang, Active Colorization for Cartoon Line Drawing. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, 28(2), 1198-1208.
16. 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), 2022, 28(4), 1906-1916.
17. Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Fang-Lue Zhang, Reference-based Deep Line Art Video Colorization. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2022.
18. Min Shi, Wenke Feng, Lin Gao, Dengming Zhu, Generating Diverse Clothed 3D Human Animations via a Generative Model, Computational Visual Media (CVM), 2022.
19. Shu-Yu Chen, Yu-Kun Lai, Shihong Xia, Paul L. Rosin, Lin Gao*, 3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction. IEEE Transactions on Multimedia, 2022.
20. 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, 2022.
21. Shu-Yu Chen, Jia-Qi Zhang, You-You Zhao, Paul L. Rosin, Yu-Kun Lai, Lin Gao, A Review of Image and Video Colorization: From Analogies to Deep Learning. Visual Informatics (VI), 6 (3), pp. 51-68, 2022.
2021
1. Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang, TM-NET: Deep Generative Networks for Textured Meshes, ACM Transactions on Graphics (ACM SIGGRAPH Asia 2021), 2021, 40 (6), 263:1-263:15.
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 Transactions on Graphics (ACM SIGGRAPH 2021), 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. Jie Yang, Lin Gao*, Qingyang Tan, Yi-Hua Huang, Shihong Xia, Yu-Kun Lai, Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2021.
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), 27(3), 2085-2100, 2021.
6. 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), 27(6), 3007-3018, 2021.
7. Jia-Heng Tang#, Weikai Chen#, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao*, OctField: Hierarchical Implicit Functions for 3D Modeling, The Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021.
8. 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 (ICCV), 2021.
9. Huan Fu, Bowen Cai, Lin Gao, Ling-Xiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao Zhang, 3D-FRONT: 3D Furnished Rooms with layOuts and semantics, IEEE International Conference on Computer Vision (ICCV), 2021.
10. Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, Dacheng Tao, 3D-FUTURE: 3D FUrniture shape with TextURE, International Journal of Computer Vision (IJCV), 2021.
11. 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 (CVPR), 2021.
12. Aihua Mao, Canglan Dai, Jie Yang, Lin Gao, Ying He, Yong-jin Liu, STD-Net: Structure-preserving and Topology-adaptive Deformation Network for Single-View 3D Reconstruction, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2021.
13. 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, 2021.
2020
1. 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.
2. Shu-Yu Chen#, Wanchao Su#, Lin Gao*, Shihong Xia, Hongbo Fu, DeepFaceDrawing: Deep Generation of Face Images from Sketches, ACM Transactions on Graphics (ACM SIGGRAPH 2020), 2020, 39(4), 72:1-72:16.
3. 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.
4. Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao*, Mesh Variational Autoencoders with Edge Contraction Pooling, Learning 3D Generative Models, CVPR 2020 Workshop.
5. 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.
6. 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.
2019
1. 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 Transactions on Graphics (ACM SIGGRAPH Asia 2019), 2019, 38(6), 243:1-243:15.
2. Mingze 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.
3. Hsien-Yu Meng, Lin Gao*, Yu-Kun Lai, Dinesh Manocha, VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation, International Conference in Computer Vision (ICCV), 2019.
4. 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, AAAI Conference on Artificial Intelligence, 2019, 8989-8996.
5. 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.
2018
1. Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul Rosin, Weiwei Xu, Shihong Xia, Automatic Unpaired Shape Deformation Transfer, ACM Transactions on Graphics (ACM SIGGRAPH Asia 2018), 2018, 37(6), 237:1-237:15.
2. Qingyang Tan, Lin Gao*, Yu-Kun Lai, Shihong Xia, Variational Autoencoders for Deforming 3D Mesh Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 5841-5850.
3. Qingyang Tan, Lin Gao*, Yu-Kun Lai, Jie Yang, Shihong Xia, Mesh-based Autoencoders for Localized Deformation Component Analysis, AAAI Conference on Artificial Intelligence (spotlight), 2018, 2452-2459.
4. 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, The British Machine Vision Conference (BMVC), 2018, 281.
5. Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Paul L. Rosin, Shihong Xia, Real-time 3D Face Reconstruction and Gaze Tracking for Virtual Reality, IEEE Conference on Virtual Reality (IEEE VR), 2018, 525-526.
6. Jie Yang, Lin Gao*, Yu-Kun Lai, Paul Rosin, Shihong Xia, Bi-harmonic Deformation Transfer with Automatic Key Point Selection, Graphical Models, 2018, 98, 1-13.
2017
1. Lin Gao, Shu-Yu Chen, Yu-Kun Lai, Shihong Xia, Data-Driven Shape Interpolation and Morphing Editing, Computer Graphics Forum, 2017, 36(8), 19-31.
2. Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Shihong Xia, Rigidity Controllable As-Rigid-As-Possible Shape Deformation, Graphical Models, 2017, 91, 13-27.
3. 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, 2017, 32(3), 536-554.
Before 2017
1. Lin Gao, Yu-Kun Lai, Dun Liang, Shu-Yu Chen, Shihong Xia, Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling, ACM Transactions on Graphics (Presented at ACM SIGGRAPH 2016), 2016, 35(5), 158:1-158:17.
2. 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.
3. 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.
4. Qixing Huang, Guoxin Zhang, Lin Gao, Shi-Min Hu, Adrian Bustcher, Leonidas Guibas, An Optimization Approach for Extracting and Encoding Consistent Maps in a Shape Collection, ACM Transactions on Graphics (ACM SIGGRAPH Asia 2012), 2012, 31(6), 167:1--167:11.
5. Lin Gao, Guo-Xin Zhang, Yu-Kun Lai, Lp Shape Deformation, Science China Information Sciences, 2012, 55(5), 983-993.
Awards
1. Distinguished Young Scholars of Beijing Municipal Natural Science Foundation, 2021
2. Graphic Open Source Software Award of China Computer Federation, 2020
3. Young Researcher Award of Asia Graphics Association, 2020
4. Honorable Mention Award of Journal of Computational Visual Media, 2020
5. Newton Advanced Fellowship of Royal Society, 2019
6. the First-Class Technological Invention Award of China Computer Federation, 2018
Professionals
1. Joint Conference Chair of Eurographics Symposium on Geometry Processing 2023.
2. Program Committee Member of SIGGRAPH 2023, Senior Program Committee Member of AAAI 2023.
3. Program Chair of ICVRV 2022.
4. Young Associate Editor of Frontiers of Computer Science (FCS).
5. Young Associate Editor of Visual Computing for Industry, Biomedicine, and Art (VCIBA).
6. Program Committee Member of Eurographics Symposium on Geometry Processing (SGP) 2021-2020, Pacific Graphics 2022 - 2018, AAAI 2021-2020, Technical Committee of ICVR 2023, Computational Visual Media 2022 - 2016, ChinaGraph 2022 – 2016.
7. Young Advisory Board of Visual Informatics.
8. Reviewers for ACM TOG, IEEE TVCG, GM, CVMJ, CAGD, C&G, JCST, etc.
9. Reviewers for ACM SIGGRAPH 2021-2019, ACM SIGGRAPH Asia 2021-2019, CVPR 2022-2019, ICCV 2021-2019, ECCV 2020, BMVC 2022-2019.