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检索条件"任意字段=IEEE Visual Communications and Image Processing Conference"
25553 条 记 录,以下是371-380 订阅
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GPU-Intensive Fast Entropy Coding Framework for Neural image Compression
GPU-Intensive Fast Entropy Coding Framework for Neural Image...
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Akutsu, Hiroaki Naruko, Takahiro Suzuki, Akifumi Hitachi Ltd Res & Dev Grp Tokyo Japan
Neural compression has benefited from technological advances such as convolutional neural networks (CNNs) to achieve advanced bitrates, especially in image compression. In neural image compression, an encoder and a de... 详细信息
来源: 评论
Stereoscopic image reflection removal based on Wasserstein Generative Adversarial Network
Stereoscopic image reflection removal based on Wasserstein G...
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ieee International conference on visual communications and image processing (VCIP)
作者: Wang, Xiuyuan Pan, Yikun Lun, Daniel P. K. Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Peoples R China
Reflection removal is a long-standing problem in computer vision. In this paper, we consider the reflection removal problem for stereoscopic images. By exploiting the depth information of stereoscopic images, a new ba... 详细信息
来源: 评论
Quality Assessment of Screen Content images Based on Multi-Pathway Convolutional Neural Network
Quality Assessment of Screen Content Images Based on Multi-P...
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ieee International conference on visual communications and image processing (VCIP)
作者: Li, Mengyao Li, Sumei Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
In this paper, considering the retinal structure of human eye, and the composition characteristics of screen content images (SCIs), a multi-pathway convolutional neural network (CNN) with picture-text competition is p... 详细信息
来源: 评论
Binocular visual Mechanism Guided No-Reference Stereoscopic image Quality Assessment Considering Spatial Saliency
Binocular Visual Mechanism Guided No-Reference Stereoscopic ...
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Feng, Jinhui Li, Sumei Chang, Yongli Tianjin Univ Tianjin Int Engn Inst Tianjin Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
In recent years, with the popularization of 3D technology, stereoscopic image quality assessment (SIQA) has attracted extensive attention. In this paper, we propose a two-stage binocular fusion network for SIQA, which... 详细信息
来源: 评论
No-Reference Stereoscopic image Quality Assessment Considering Binocular Disparity and Fusion Compensation
No-Reference Stereoscopic Image Quality Assessment Consideri...
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Feng Jinhui Li, Sumei Chang, Yongli Tianjin Univ Tianjin Int Engn Inst Tianjin Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
In this paper, we propose an optimized dual stream convolutional neural network (CNN) considering binocular disparity and fusion compensation for no-reference stereoscopic image quality assessment (SIQA). Different fr... 详细信息
来源: 评论
Learning From Paired and Unpaired Data: Alternately Trained CycleGAN for Near Infrared image Colorization
Learning From Paired and Unpaired Data: Alternately Trained ...
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ieee International conference on visual communications and image processing (VCIP)
作者: Yang, Zaifeng Chen, Zhenghua ASTAR Inst High Performance Comp Singapore Singapore ASTAR Inst Infocomm Res Singapore Singapore
This paper presents a novel near infrared (NIR) image colorization approach for the Grand Challenge held by 2020 ieee International conference on visual communications and image processing (VCIP). A Cycle-Consistent G... 详细信息
来源: 评论
No-Reference Stereoscopic image Quality Assessment Based on The visual Pathway of Human visual System
No-Reference Stereoscopic Image Quality Assessment Based on ...
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Meng, Fan Li, Sumei Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
With the development of stereoscopic imaging technology, stereoscopic image quality assessment (SIQA) has gradually been more and more important, and how to design a method in line with human visual perception is full... 详细信息
来源: 评论
Underwater image Enhancement with Multi-Scale Residual Attention Network
Underwater Image Enhancement with Multi-Scale Residual Atten...
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Ueki, Yosuke Ikehara, Masaaki Keio Univ EEE Dept Yokohama Kanagawa 2238522 Japan
Underwater images suffer from low contrast, color distortion and visibility degradation due to the light scattering and attenuation. Over the past few years, the importance of underwater image enhancement has increase... 详细信息
来源: 评论
Towards Universal GAN image Detection
Towards Universal GAN Image Detection
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Cozzolino, Davide Gragnaniello, Diego Poggi, Giovanni Verdoliva, Luisa Univ Federico II Naples Naples Italy
The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools. Many GAN image detectors have been proposed, recently. In real world scenarios, however, most of them show limi... 详细信息
来源: 评论
AnomalyHop: An SSL-based image Anomaly Localization Method
AnomalyHop: An SSL-based Image Anomaly Localization Method
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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Zhang, Kaitai Wang, Bin Wang, Wei Sohrab, Fahad Gabbouj, Moncef Kuo, C-C Jay Univ Southern Calif Ming Hsieh Dept Elect & Comp Engn Los Angeles CA 90007 USA Tampere Univ Dept Comp Sci Tampere Finland
An image anomaly localization method based on the successive subspace learning (SSL) framework, called AnomalyHop, is proposed in this work. AnomalyHop consists of three modules: 1) feature extraction via successive s... 详细信息
来源: 评论