Due to the limitations of current spectral imaging equipment in acquiring high-resolution hyperspectral images (HR-HSIs), a common approach is to fuse low-resolution hyperspectral images (LR-HSIs) with high-resolution...
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Currently, highly realistic face-swapped videos/images pose significant potential security risks to society, which forces researchers to develop an effective defense mechanism against deepfakes, especially in a proact...
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In this work, we present a novel methodology to evaluate the maintainability of Structured Object-oriented Formal Language (SOFL) specifications, addressing an existing gap in maintainability assessment for formal spe...
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Although the LCH color models have been around for many years, it has just recently been included in web specifications and is currently being implemented by browser vendors. Several voices argue that the LCH color mo...
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Real-world DeepFake videos often undergo various compression operations, resulting in a range of video qualities. These varying qualities diversify the pattern of forgery traces, significantly increasing the difficult...
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Magnetic Resonance Imaging (MRI) provides strong contrast for soft tissues but requires long acquisition times, oftentimes resulting in the motion artifacts. Recent advancements in MRI reconstruction from undersampled...
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ISBN:
(纸本)9783031524479;9783031524486
Magnetic Resonance Imaging (MRI) provides strong contrast for soft tissues but requires long acquisition times, oftentimes resulting in the motion artifacts. Recent advancements in MRI reconstruction from undersampled data rely on compressed sensing (CS) and deep learning (DL) techniques, allowing for significant scan acceleration while maintaining the image quality nearly at the fully sampled level. In this study, we propose to use the convolutional neural networks (CNN), such as U-net, to parametrize the objective function employed in the compressed sensing optimization problems. By doing so, our aim is to avoid unrealistic reconstructions often associated with traditional DL-based image reconstruction techniques. To validate the proposed method, we used the CMRxRecon dataset containing cardiac raw k-space data. The results demonstrate realistic reconstruction of anatomical structures, outperforming classical CS reconstruction methods.
This paper presents the design and experimental evaluation of haptic rendering techniques for navigating using localized vibrotactile stimuli provided by a custom multi-actuator haptic handle. We present two haptic re...
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Conversational search system seek to support users in their search activities to improve the effectiveness and efficiency of search while reducing their cognitive load. The challenges of multimedia search mean that se...
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ISBN:
(纸本)9783031560682;9783031560699
Conversational search system seek to support users in their search activities to improve the effectiveness and efficiency of search while reducing their cognitive load. The challenges of multimedia search mean that search supports provided by conversational search have the potential to improve the user search experience. For example, by assisting users in constructing better queries and making more informed decisions in relevance feedback stages whilst searching. However, previous research on conversational search has been focused almost exclusively on text archives. This demonstration illustrates the potential for the application of conversational methods in multimedia search. We describe a framework to enable multimodal conversational search for use with multimedia archives. Our current prototype demonstrates the use of an conversational AI assistant during the multimedia information retrieval process for both image and video collections.
Home walking robots imitating pets have a high appeal due to increased maneuverability in a cramped home environment. Planning the movements of a home robot is an important component of the control system of a quadrup...
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In data center network virtualization, the high coupling of the internal structure of the application often confines the considerations of most algorithms to node-to-node mapping, still unable to address isolation iss...
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