中国科学院计算技术研究所机构知识库

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	A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 3, 页码: 1322-1338 作者:  Yu, Ting;  Lin, Xiaojun;  Wang, Shuhui;  Sheng, Weiguo;  Huang, Qingming;  Yu, Jun 收藏  |  浏览/下载：10/0  |  提交时间：2024/05/20 Three-dimensional displays  Task analysis  Visualization  Point cloud compression  Grounding  Surveys  Solid modeling  3D dense captioning  vision-language bridging  visual captioning  3D point cloud
	Variational Autoencoders for Localized Mesh Deformation Component Analysis 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6297-6310 作者:  Tan, Qingyang;  Zhang, Ling-Xiao;  Yang, Jie;  Lai, Yu-Kun;  Gao, Lin 收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07 Strain  Shape  Three-dimensional displays  Principal component analysis  Geometry  Convolution  Solid modeling  3D meshes  variational autoencoder  graph convolution  sparsity regularization
	Plausible 3D Face Wrinkle Generation Using Variational Autoencoders 期刊论文 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 9, 页码: 3113-3125 作者:  Deng, Qixin;  Ma, Luming;  Jin, Aobo;  Bi, Huikun;  Le, Binh Huy;  Deng, Zhigang 收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07 Faces  Three-dimensional displays  Solid modeling  Shape  Computational modeling  Pipelines  Data models  Face modeling  wrinkle synthesis  deep generative models  variational autoencoders
	PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models 期刊论文 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 6, 页码: 3007-3018 作者:  Gao, Lin;  Zhang, Ling-Xiao;  Meng, Hsien-Yu;  Ren, Yi-Hui;  Lai, Yu-Kun;  Kobbelt, Leif 收藏  |  浏览/下载：48/0  |  提交时间：2021/12/01 Three-dimensional displays  Shape  Geometry  Two dimensional displays  Feature extraction  Solid modeling  Computational modeling  Unsupervised learning  convolutional neural network  symmetry detection  3D models  planar reflective symmetry
	A Deep Learning-Based Framework for Intersectional Traffic Simulation and Editing 期刊论文 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2020, 卷号: 26, 期号: 7, 页码: 2335-2348 作者:  Bi, Huikun;  Mao, Tianlu;  Wang, Zhaoqi;  Deng, Zhigang 收藏  |  浏览/下载：51/0  |  提交时间：2020/12/10 Trajectory  Solid modeling  Computational modeling  Vehicle dynamics  Traffic control  Data models  Deep learning  Traffic simulation  crowd simulation  data-driven  deep learning  intersectional traffic