简 历:
2023年9月 — 今:中国科学院计算技术研究所,研究员
2019年12月 — 今:中国科学院计算技术研究所,博士生导师
2016年9月 — 2023年9月:中国科学院计算技术研究所,副研究员
2016年2月 — 2017年2月:德国亚琛工业大学, 公派访问学者
2014年7月 — 2016年9月:前瞻研究实验室,助理研究员
2009年7月 — 2014年7月:清华大学,计算机科学与技术系,工学博士
2005年9月 — 2009年6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*, Feng-Lin Liu, Shu-Yu Chen, Kaiwen Jiang, Chunpeng Li, Yu-Kun Lai, Hongbo Fu, SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields, ACM Transactions on Graphics (ACM SIGGRAPH 2023), 2023.
[2] Tong Wu, Jia-Mu Sun, Yu-Kun Lai, Lin Gao*, DE-NeRF: DEcoupled Neural Radiance Fields for View-Consistent Appearance Editing and High-Frequency Environmental Relighting, ACM SIGGRAPH 2023.
[3] Yi-Hua Huang, Yan-Pei Cao, Yu-Kun Lai, Ying Shan, Lin Gao*, NeRF-Texture: Texture Synthesis with Neural Radiance Fields, ACM SIGGRAPH 2023.
[4] Kaiwen Jiang, Shu-Yu Chen, Hongbo Fu, Lin Gao*, NeRFFaceLighting: Implicit and Disentangled Face Lighting Representation Leveraging Generative Prior in Neural Radiance Fields, ACM Transactions on Graphics, 2023
[5] 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.
[6] Tong Wu, Lin Gao, Ling-Xiao Zhang, Yu-Kun Lai, Hao Zhang, STAR-TM: STructure Aware Reconstruction of Textured Mesh from Single Image, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023.
[7] Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Leif Kobbelt, Lin Gao*, Interactive NeRF Geometry Editing with Shape Priors, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023.
[8] Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao*, NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes, International Conference on Machine Learning (ICML), 2023.
[9] Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen, ARTist: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation, IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023
[10] Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, Yuewen Ma, Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, International Conference on Computer Vision (ICCV), 2023.
[11] Ren-Wu Li, Ling-Xiao Zhang, Chunpeng Li, Yu-Kun Lai, Lin Gao, E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection, International Conference on Computer Vision (ICCV), 2023.
[12] 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)).
[13] Yu-Tao Liu, Li Wang, Jie yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao*, NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[14] 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.
[15] 袁宇杰,吴桐,杨洁,高林*, 神经辐射场研究进展, 中国图象图形学学会通讯, 2(1), 9-25, 2023
[16] 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).
[17] 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.
[18] 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.
[19] Wen-Yang Zhou, Lu Yuan, Shu-Yu Chen, Lin Gao, Shi-Min Hu, LC-NeRF: Local Controllable Face Generation in Neural Radiance Field, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear.
[20] 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.
[21] Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai, Deep Deformation Detail Synthesis for Thin Shell Models, Computer Graphics Forum (Eurographics Symposium on Geometry Processing 2023), 2023, 42(5), e14903:1-13.
[22] Lan Chen, Jie Yang, Hongbo Fu, Xiaoxu Meng, Weikai Chen, Bo Yang, Lin Gao, IMPLICITPCA: Implicitly-Proxied Parametric Encoding for Collision-Aware Garment Reconstruction, International Conference on Computational Visual Media 2023 (Recommended to Graphical Models)
[23] Ren-Wu Li, Bo Wang, Lin Gao, Ling-Xiao Zhang, Chun-Peng Li, High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling, Graphical Models, 2023, To Appear
[24] 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.
[25] 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.
[26] 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).
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] 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.
[35] 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.
[36] 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.
[37] 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.
[38] 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.
[39] 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.
[40] 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.
[41] Min Shi, Wenke Feng, Lin Gao, Dengming Zhu, Generating Diverse Clothed 3D Human Animations via a Generative Model, Computational Visual Media (CVM), 2022.
[42] 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.
[43] 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.
[44] 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.
[45] 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.
[46] 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.
[47] 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.
[48] 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.
[49] 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.
[50] 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.
[51] 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.
[52] 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.
[53] 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.
[54] 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.
[55] 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.
[56] 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.
[57] 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.
[58] 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.
[59] 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.
[60] 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.
[61] 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.
[62] 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.
[63] 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.
[64] 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.
[65] 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.
[66] 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.
[67] 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.
[68] 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.
[69] 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.
[70] 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.
[71] 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.
[72] 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.
[73] 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.
[74] 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.
[75] 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.
[76] Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Shihong Xia, Rigidity Controllable As-Rigid-As-Possible Shape Deformation, Graphical Models, 2017, 91, 13-27.
[77] 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.
[78] 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.
[79] 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.
[80] 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.
[81] 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.
[82] 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 - 2026/12,200万元,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 - 2023/12,300万元,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] 中国科学院计算技术研究所创新课题,神经图形技术与数字人生成,2023/07-2025/06,在研,主持
[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,2019/01-2022/12,结题,主持
[6] 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,2021/01-2022/12,250万元,结题,主持
[7] CCF-腾讯犀牛鸟基金,面向数字内容生产的智能几何分析建模方法研究,2021/12-2023/12,在研,主持
[8] 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,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
高林 研究员
研究方向:智能计算机图形学;三维计算机视觉;模式识别
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