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检索条件"机构=Image Processing and Image Communications Key Lab"
593 条 记 录,以下是371-380 订阅
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Learning Hierarchical Representations for Expressive Speaking Style in End-to-End Speech Synthesis
Learning Hierarchical Representations for Expressive Speakin...
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IEEE Workshop on Automatic Speech Recognition and Understanding
作者: Xiaochun An Yuxuan Wang Shan Yang Zejun Ma Lei Xie Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China ByteDance AI Lab
Although Global Style Tokens (GSTs) are a recently-proposed method to uncover expressive factors of variation in speaking style, they are a mixture of style attributes without explicitly considering the factorization ... 详细信息
来源: 评论
A new technique for high-fidelity cutting technology for hydrate samples
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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2022年 第1期23卷 40-54页
作者: Hai ZHU Jia-wang CHEN Zi-qiang REN Pei-hao ZHANG Qiao-ling GAO Xiao-ling LE Chun-ying XU Kai HE Peng ZHOU Feng GAO Yu-ping FANG Institute of Ocean Engineering and Technology Ocean CollegeZhejiang UniversityZhoushan316021China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China Key Lab of Digital Signal and Image Processing of Guangdong Province School of EngineeringShantou UniversityShantou515063China
Designing a high-fidelity cutting device is one of the difficulties in hydrate samples pressure-holding *** to the limitations of the existing mechanical system,there is much damage to the cut surface of hydrate sampl... 详细信息
来源: 评论
Sine: Similarity-Regularized Intra-Class Exploitation for Cross-Granularity Few-Shot Learning
Sine: Similarity-Regularized Intra-Class Exploitation for Cr...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Jinhai Yang Hua Yang Institution of Image Communication and Network Engineering Shanghai Jiao Tong University China Shanghai Key Lab of Digital Media Processing and Transmission Shanghai China
Few-shot learning aims for rapid adaptation with few samples. Recently, cross-granularity few-shot learning has emerged as a promising research area, where models observe coarse labels but target fine-grained recognit... 详细信息
来源: 评论
AI WALKUP: A Computer-Vision Approach to Quantifying MDS-UPDRS in Parkinson's Disease
arXiv
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arXiv 2024年
作者: Xiang, Xiang Zhang, Zihan Ma, Jing Deng, Yao Key Lab of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China
Parkinson's Disease (PD) is the second most common neurodegenerative disorder. The existing assessment method for PD is usually the Movement Disorder Society - Unified Parkinson's Disease Rating Scale (MDS-UPD... 详细信息
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Genetic U-Net: Automatically designed deep networks for retinal vessel segmentation using a genetic algorithm
arXiv
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arXiv 2020年
作者: Wei, Jiahong Fan, Zhun Department of Electronic Engineering Shantou University Guangdong515063 China Key Lab of Digital Signal and Image Processing of Guangdong Province Guangdong515063 China
Recently, many methods based on hand-designed convolutional neural networks (CNNs) have achieved promising results in automatic retinal vessel segmentation. However, these CNNs remain constrained in capturing retinal ... 详细信息
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A novel cross-lingual voice cloning approach with a few text-free samples
arXiv
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arXiv 2019年
作者: Zhou, Xinyong Che, Hao Wang, Xiaorui Xie, Lei Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xian China Kwai Beijing China
This paper proposes a novel cross-lingual voice cloning framework by utilizing bottleneck (BN) features obtained from speaker-independent automatic speech recognition system in the target language. Firstly, we use aud... 详细信息
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REMOTE SENSING image CLASSIFICATION BASED ON MULTIPLE MORPHOLOGICAL COMPONENT ANALYSIS
REMOTE SENSING IMAGE CLASSIFICATION BASED ON MULTIPLE MORPHO...
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IEEE International Geoscience and Remote Sensing Symposium
作者: Xiang Xu Jun Li Mauro Dalla Mura Guangdong Key Laboratory for Urbanization and Geo-Simulation School of Geography and Planning Sun Yat-sen University GIPSA-Lab Department of Image and Signal Processing
In this work, we propose a new multiple morphological component analysis (MMCA) based decomposition framework for remote sensing image classification. The proposed MMCA framework aims at exploiting relevant textural c... 详细信息
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Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers
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National Science Review 2021年 第4期8卷 78-90页
作者: Xiao Zhang Dongrui Wu Lieyun Ding Hanbin Luo Chin-Teng Lin Tzyy-Ping Jung Ricardo Chavarriaga Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and Technology School of Civil Engineering and Mechanics Huazhong University of Science and Technology Centre of Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Swartz Center for Computational Neuroscience Institute for Neural ComputationUniversity of California San Diego Center for Advanced Neurological Engineering Institute of Engineering in Medicine University of California San Diego ZHAW Data Lab Zürich University of Applied Sciences
An electroencephalogram(EEG)-based brain–computer interface(BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g. amyotrophic lateral scle... 详细信息
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Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
arXiv
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arXiv 2019年
作者: Fan, Zhun Wang, Zhaojun Li, Wenji Yuan, Yutong You, Yugen Yang, Zhi Sun, Fuzan Ruan, Jie Li, Zhaocheng Department of Electronic Engineering Shantou University Guangdong China Key Lab of Digital Signal and Image Processing of Guangdong Province Shantou University Guangdong China
In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the convergence and diversity of working populations. However, mo... 详细信息
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Modified radius-vector function for shape contour description
Modified radius-vector function for shape contour descriptio...
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International Conference on Computational Science and its Applications, ICCSA 2004
作者: Kang, Sung Kwan Ahmad, Muhammad Bilal Chun, Jong Hun Kim, Pan Koo Park, Jong An Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Provincial College of Namdo Korea Republic of College of Electronics and Information Engineering Chosun University Gwangju Korea Republic of
Shape is one of the salient features of visual content and can be used in visual information retrieval. Radius vector function for star-shaped objects is available. A modified radius-vector function for both types of ... 详细信息
来源: 评论