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检索条件"机构=Key Lab of Image Processing and Image Communication"
885 条 记 录,以下是381-390 订阅
排序:
A time-efficient video stabilization algorithm based on Block Matching in a restricted search space
A time-efficient video stabilization algorithm based on Bloc...
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2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
作者: Joseph, Kevin Raj, Alex Noel Joseph Fan, Zhun Vidhyapathi, C.M. School of Electronics Engineering VIT University India Key Lab of Digital Signal and Image Processing of Guangdong Province Shantou University China
In this paper, we study various video stabilization techniques and develop an algorithm which can perform video stabilization under strict time constraints. To do this, an optimized version of block matching in a rest... 详细信息
来源: 评论
Multimodal measurement of depression using deep learning models  7
Multimodal measurement of depression using deep learning mod...
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7th Annual Workshop on Audio/Visual Emotion Challenge, AVEC 2017
作者: Yang, Le Pei, Ercheng Jiang, Dongmei Oveneke, Meshia Cédric Xia, Xiaohan Sahli, Hichem Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu Xi'an710072 China Pleinlaan 2 Brussels1050 Belgium
This paper addresses multi-modal depression analysis. We propose a multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models. Our framework considers audio,... 详细信息
来源: 评论
Controlling Expressivity using Input Codes in Neural Network based TTS
Controlling Expressivity using Input Codes in Neural Network...
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Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)
作者: Xiaolian Zhu Lei Xie Xiao Chen Xiaoyan Lou Xuan Zhu Xingjun Tan Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi’an Hebei University of Economics and Business Shijiazhuang China Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi’an China Language Computing Lab Samsung R&D Institute of China Beijing China
This paper presents a study on the use of input codes in the neural network acoustic modeling for expressive TTS. Specifically, we use different kinds of input codes, augmented with the linguistic features, as the inp... 详细信息
来源: 评论
Difficulty adjustable and scalable constrained multiobjective test problem toolkit
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Evolutionary Computation 2019年 第3期28卷 339-378页
作者: Fan, Zhun Li, Wenji Cai, Xinye Li, Hui Wei, Caimin Zhang, Qingfu Deb, Kalyanmoy Goodman, Erik Department of Electronic Engineering Shantou University Guangdong515063 China Key Lab of Digital Signal and Image Processing of Guangdong Province Guangdong China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiangsu210016 China School of Mathematics and Statistics Xi’an Jiaotong University Shan’xi710049 China Department of Computer Science City University of Hong Kong Hong Kong BEACON Center for the Study of Evolution in Action Michigan State University East LansingMI United States
Multiobjective evolutionary algorithms (MOEAs) have progressed significantly in recent decades, butmost of them are designed to solve unconstrained multiobjective optimization problems. In fact, many real-world multio... 详细信息
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RGB-D based action recognition with light-weight 3D convolutional networks
arXiv
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arXiv 2018年
作者: Zhang, Haokui Li, Ying Wang, Peng Liu, Yu Shen, Chunhua Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi’an710129 China School of Computer Science University of Adelaide AdelaideSA5005 Australia
Different from RGB videos, depth data in RGB-D videos provide key complementary information for tristimulus visual data which potentially could achieve accuracy improvement for action recognition. However, most of the... 详细信息
来源: 评论
Coupled convolutional neural network with adaptive response function learning for unsupervised hyperspectral super-resolution
arXiv
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arXiv 2020年
作者: Zheng, Ke Gao, Lianru Liao, Wenzhi Hong, Danfeng Zhang, Bing Cui, Ximin Chanussot, Jocelyn Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China College of Geoscience and Surveying Engineering China University of Mining and Technology [Bei Jing Beijing100083 China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Mol2400 Belgium Image Processing and Interpretation IMEC Research Group Ghent University Ghent9000 Belgium Weling82234 Germany College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China College of Geoscience and Surveying Engineering China University of Mining and Technology [Bei Jing Beijing100083 China Univ. Grenoble Alpes CNRS Grenoble INP GIPSA-lab GrenobleF-38000 France Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China
Due to the limitations of hyperspectral imaging systems, hyperspectral imagery (HSI) often suffers from poor spatial resolution, thus hampering many applications of the imagery. Hyperspectral super-resolution refers t... 详细信息
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Eye Movement Pattern Modeling and Visual Comfort Viewing S3D images
Eye Movement Pattern Modeling and Visual Comfort Viewing S3D...
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IEEE Visual communications and image processing (VCIP)
作者: Chi Zhang Jun Zhou Xiao Gu Shouchen Zhu Alan. C. Bovik Institute of Image Communication & Network Enginerring Shanghai Jiao Tong University Shanghai China Shanghai Key Lab of Digital Media Processing & Transmissions Shanghai Jiao Tong University China Shanghai Yanan High School Shanghai China Department of Electrical and Computer Engineering The University of Texas at Austin USA
Stereoscopic-3D (S3D) displays are widely used but present problems related to experiences of visual discomfort for human vision. One aspect of this issue is the movement of the gaze point within different depth field... 详细信息
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A Novel LOS Rate Estimation Method Based on images for Strap-down Inertial Guidance
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Journal of Physics: Conference Series 2020年 第1期1570卷
作者: Zheng Xu Haibo Luo Bin Hui Zheng Chang Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Tel.: +86-024-2397-0757 Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Science Shenyang 110016 China The Key Lab of Image Understanding and Computer Vision Shenyang 110016 China
With the development of technology, precision guided weapon is becoming more and more important in modern war. In order to launch our recent guidance system on medium and small guided weapons, we propose a method to o...
来源: 评论
Hybrid depression classification and estimation from audio video and text information  7
Hybrid depression classification and estimation from audio v...
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7th Annual Workshop on Audio/Visual Emotion Challenge, AVEC 2017
作者: Yang, Le Pei, Ercheng Sahli, Hichem Oveneke, Meshia Cédric Xia, Xiaohan Jiang, Dongmei Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu Xi'an710072 China Pleinlaan 2 Brussels1050 Belgium Kepeldreef 75 Heverlee3001 Belgium
In this paper, we design a hybrid depression classification and depression estimation framework from audio, video and text descriptors. It contains three main components: 1) Deep Convolutional Neural Network (DCNN) an... 详细信息
来源: 评论
Fast signal recovery from saturated measurements by linear loss and nonconvex penalties
arXiv
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arXiv 2018年
作者: He, Fan Huang, Xiaolin Liu, Yipeng Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University The MOE Key Laboratory of System Control and Information Processing Shanghai200240 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The Department of Computational Mathematics Science and Engineering Michigan State University MI United States
Sign information is the key to overcoming the inevitable saturation error in compressive sensing systems, which causes information loss and results in bias. For sparse signal recovery from saturation, we propose to us... 详细信息
来源: 评论