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检索条件"主题词=Variational autoencoder"
1569 条 记 录,以下是751-760 订阅
排序:
Joint Source-Channel Coding for a Multivariate Gaussian Over a Gaussian MAC Using variational Domain Adaptation
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IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2023年 第6期9卷 1424-1437页
作者: Li, Yishen Chen, Xuechen Deng, Xiaoheng Cent South Univ Sch Comp Sci & Engn Changsha 410083 Peoples R China
With the development of the distributed learning and edge computing, servers must often receive information from multiple terminal devices;thus, the importance of source-channel coding for distributed sources over mul... 详细信息
来源: 评论
Fast marching method assisted permeability upscaling using a hybrid deep learning method coupled with particle swarm optimization
GEOENERGY SCIENCE AND ENGINEERING
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GEOENERGY SCIENCE AND ENGINEERING 2023年 230卷
作者: Yousefzadeh, Reza Ahmadi, Mohammad Amirkabir Univ Technol Dept Petr Engn Tehran Iran
Geo-cellar models contain millions of gridblocks and are very time-consuming to simulate. This challenge necessitates upscaling geo-cellular models to obtain fit-for-purpose models for simulation. Simulation-based ups... 详细信息
来源: 评论
Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2023年 第1期33卷 421-433页
作者: Tang, Zhisen Wang, Hanli Yi, Xiaokai Zhang, Yun Kwong, Sam Kuo, C. -C. Jay Tongji Univ Dept Comp Sci & Technol Shanghai 201804 Peoples R China Tongji Univ Serv Comp Minist Educ Shanghai 200092 Peoples R China Tongji Univ Key Lab Embedded Syst Shanghai 200092 Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Univ Southern Calif Los Angeles Signal & Image Proc Inst Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA
Recent deep image compression methods have achieved prominent progress by using nonlinear modeling and powerful representation capabilities of neural networks. However, most existing learning-based image compression a... 详细信息
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Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2023年 第12期24卷 15259-15273页
作者: Kuang, Zhenyu He, Chuchu Huang, Yue Ding, Xinghao Li, Huafeng Xiamen Univ Sch Informat Fujian Key Lab Sensing & Comp Smart City Xiamen 361005 Peoples R China Kunming Univ Sci & Technol Yunnan Key Lab Artificial Intelligence Kunming 650500 Peoples R China
Domain generalization (DG), which doesn't require any data from target domains during training, is more challenging but practical than unsupervised domain adaptation (UDA). Since different vehicles of the same typ... 详细信息
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Pedestrian Trajectory Prediction Using Spatio-Temporal VAE  7th
Pedestrian Trajectory Prediction Using Spatio-Temporal VAE
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7th Chinese Conference on Pattern Recognition and Computer Vision
作者: Yu, Qing Xu, Zhenwei Zhou, Yaoyong Liu, Zhida Silamu, Wushouer Xinjiang Univ XJU Sch Comp Sci & Technol 777 Huarui St Urumqi 830017 Xinjiang Uygur Peoples R China Xinjiang Univ XJU Sch Software 499 Xibei Rd Urumqi 830091 Xinjiang Uygur Peoples R China
To address the high uncertainty of pedestrian behavior and the complexity of the environment at traffic intersections, this paper proposes an innovative Spatio-temporal variational autoencoder model (ST-VAE). This mod... 详细信息
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A Method for Creating Realistic Synthetic Images Using a Generative Deep Learning Model for Classifying Anomalies in Panoramas
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PATTERN RECOGNITION AND IMAGE ANALYSIS 2024年 第3期34卷 805-809页
作者: Arkhipov, P. O. Philippskih, S. L. Tsukanov, M. V. Russian Acad Sci Orel Branch Fed Res Ctr Comp Sci & Control Oryol 302025 Russia
This paper describes a method for generating realistic synthetic images using a generative deep learning model. When generating training examples, the features of climate, relief, architecture, and landscape of a part... 详细信息
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Adaptive Gait Trajectory and Event Prediction of Lower Limb Exoskeletons for Various Terrains Using Reinforcement Learning
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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2023年 第2期109卷 1-20页
作者: Yu, Zhipeng Zhao, Jianghai Chen, Danhui Chen, Shuyan Wang, Xiaojie Chinese Acad Sci Inst Intelligent Machines Hefei Inst Phys Sci Hefei 230031 Peoples R China Univ Sci & Technol China Dept Sci Isl Hefei 230026 Peoples R China Univ Sci & Technol China Dept Automat Hefei 230026 Peoples R China Chinese Acad Sci Changzhou Inst Adv Mfg Technol Changzhou 213164 Peoples R China
The recent development of lower limb exoskeletons has focus on assisting walking on a variety of terrains, such as level ground, stairs, and ramps. However, smooth transitions between different locomotion modes are ch... 详细信息
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VAE-CoGAN: Unpaired image-to-image translation for low-level vision
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SIGNAL IMAGE AND VIDEO PROCESSING 2023年 第4期17卷 1019-1026页
作者: Zhang, Juan Lang, Xiaoqi Huang, Bo Jiang, Xiaoyan Shanghai Univ Engn Sci Shanghai 201620 Peoples R China
Low-level vision problems, such as single image haze removal and single image rain removal, usually restore a clear image from an input image using a paired dataset. However, for many problems, the paired training dat... 详细信息
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Inference over radiative transfer models using variational and expectation maximization methods
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MACHINE LEARNING 2023年 第3期112卷 921-937页
作者: Svendsen, Daniel Heestermans Hernandez-Lobato, Daniel Martino, Luca Laparra, Valero Moreno-Martinez, Alvaro Camps-Valls, Gustau Univ Valencia Image Proc Lab IPL Valencia Spain Univ Autonoma Madrid Dept Comp Sci Madrid Spain Univ Rey Juan Carlos Madrid Dept Signal Theory & Telecommun Madrid Spain
Earth observation from satellites offers the possibility to monitor our planet with unprecedented accuracy. Radiative transfer models (RTMs) encode the energy transfer through the atmosphere, and are used to model and... 详细信息
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Improved history matching of channelized reservoirs using a novel deep learning-based parametrization method
GEOENERGY SCIENCE AND ENGINEERING
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GEOENERGY SCIENCE AND ENGINEERING 2023年 229卷
作者: Yousefzadeh, Reza Ahmadi, Mohammad Amirkabir Univ Technol Dept Petr Engn Tehran Iran
Most of the geological parametrization techniques used in history matching of sub-surface formations including the deep learning-based methods could not capture the non-linear and non-Gaussian dependencies and were li... 详细信息
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