中国科学院计算技术研究所机构知识库

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	Generating diverse clothed 3D human animations via a generative model 期刊论文 COMPUTATIONAL VISUAL MEDIA, 2024, 卷号: 10, 期号: 2, 页码: 261-277 作者:  Shi, Min;  Feng, Wenke;  Gao, Lin;  Zhu, Dengming 收藏  |  浏览/下载：14/0  |  提交时间：2024/05/20 Transformer  garment animation  conditional variational autoencoder (CVAE)  computer graphics
	SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8902-8919 作者:  Gao, Lin;  Sun, Jia-Mu;  Mo, Kaichun;  Lai, Yu-Kun;  Guibas, Leonidas J.;  Yang, Jie 收藏  |  浏览/下载：16/0  |  提交时间：2023/12/04 3Dindoor scene synthesis  deep generative model  fine-grained mesh generation  graph neural network  recursive neural network  relationship graphs  variational autoencoder
	Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 2, 页码: 2118-2132 作者:  Zhang, Yuxin;  Chen, Yiqiang;  Wang, Jindong;  Pan, Zhiwen 收藏  |  浏览/下载：23/0  |  提交时间：2023/07/12 Anomaly detection  Predictive models  Data models  Autoregressive processes  Image reconstruction  Forecasting  Computational modeling  Unsupervised anomaly detection  multi-sensor time series  convolutional autoencoder  attention based BiLSTM
	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
	Image Denoising Based on GAN with Optimization Algorithm 期刊论文 ELECTRONICS, 2022, 卷号: 11, 期号: 15, 页码: 12 作者:  Zhu, Min-Ling;  Zhao, Liang-Liang;  Xiao, Li 收藏  |  浏览/下载：36/0  |  提交时间：2022/12/07 image denoising  GAN  optimization algorithm  autoencoder  ResNet
	Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13 作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile 收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01 Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise
	Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering 期刊论文 NEURAL PROCESSING LETTERS, 2020, 页码: 16 作者:  Zhu, Xiaofei;  Do, Khoi Duy;  Guo, Jiafeng;  Xu, Jun;  Dietze, Stefan 收藏  |  浏览/下载：59/0  |  提交时间：2020/12/10 Deep neural networks  Stacked autoencoder  Manifold constraint  Clustering
	Learning to balance the coherence and diversity of response generation in generation-based chatbots 期刊论文 INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 4, 页码: 11 作者:  Wang, Shuliang;  Li, Dapeng;  Geng, Jing;  Yang, Longxing;  Leng, Hongyong 收藏  |  浏览/下载：46/0  |  提交时间：2020/12/10 Variational autoencoder  dialog system  deep learning  response generation  chatbots
	Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval 期刊论文 CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1191-1197 作者:  Jin, Guoqing;  Zhang, Yongdong;  Lu, Ke 收藏  |  浏览/下载：49/0  |  提交时间：2020/12/10 file organisation  image retrieval  learning (artificial intelligence)  neural nets  pairwise hashing learning  semantic perserving feature mapping model  adversarial generative process  image feature vector  hash codes  pairwise ranking loss  generative networks  VAE-GAN based hashing framework  image retrieval  content preserving images  similarity retrieval  variational autoencoder  generative adversarial network  Image retrieval  Learning to hash  Variational autoencoder(VAE)  Generative adversarial network(GAN)
	SDM-NET: Deep Generative Network for Structured Deformable Mesh 期刊论文 ACM TRANSACTIONS ON GRAPHICS, 2019, 卷号: 38, 期号: 6, 页码: 15 作者:  Gao, Lin;  Yang, Jie;  Wu, Tong;  Yuan, Yu-Jie;  Fu, Hongbo;  Lai, Yu-Kun;  Zhang, Hao 收藏  |  浏览/下载：57/0  |  提交时间：2020/12/10 Shape representation  variational autoencoder  structure  geometric details  generation