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MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering
Textbook question answering is challenging as it aims to automatically answer various questions on textbook lessons with long text and complex...
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Multi-task Collaborative Network for Image-Text Retrieval
Image-text retrieval aims to capture semantic relevance between images and texts. Most existing approaches rely solely on the image-text pairs to...
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LigCDnet:Remote Sensing Image Cloud Detection Based on Lightweight Framework
Cloud contamination is inevitable in remote sensing images, resulting in a large number of images that cannot be applied in various fields....
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Unsupervised Multi-collaborative Learning Network for 3D Face Reconstruction
Monocular image-based 3D fine face reconstruction techniques aim to reconstruct 3D faces with rich face details from a single image. Existing methods...
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FGENet: Fine-Grained Extraction Network for Congested Crowd Counting
Crowd counting has gained significant popularity due to its practical applications. However, mainstream counting methods ignore precise individual...
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Pseudo-label Based Unsupervised Momentum Representation Learning for Multi-domain Image Retrieval
Although many current cross-domain image retrieval researches have made good progress, most of the works is targeted at specific domains. At the same...
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An Integrated System for Spatio-temporal Summarization of 360-Degrees Videos
In this work, we present an integrated system for spatio-temporal summarization of 360-degrees videos. The video summary production involves the...
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PraK Tool: An Interactive Search Tool Based on Video Data Services
This paper presents a tool relying on data service architecture, where technical details of all VBS datasets are completely hidden behind an abstract...
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Using Saliency and Crop** to Improve Video Memorability
Video memorability is a measure of how likely a particular video is to be remembered by a viewer when that viewer has no emotional connection with...
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From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction
The shape of the human face is largely determined by the underlying skull morphology. Craniofacial reconstruction (CfR), or the process of...
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Facilitating the Production of Well-Tailored Video Summaries for Sharing on Social Media
This paper presents a web-based tool that facilitates the production of tailored summaries for online sharing on social media. Through an interactive...
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A Detail-Guided Multi-source Fusion Network for Remote Sensing Object Detection
Optical and synthetic aperture radar (SAR) remote sensing have established themselves as valuable tools for object detection. Optical images exhibit...
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Book Summary
This chapter presents the overall summary of the book. It highlights the characteristics, importance, and key points of the book.
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Aragón Open Data Assistant, Lesson Learned of an Intelligent Assistant for Open Data Access
Chatbots are becoming more popular on websites. To ensure their widespread adoption and effectiveness, it is crucial that the development of these...
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Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking
Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial...
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Voting Assistant Chatbot for Increasing Voter Turnout at Local Elections: An Exploratory Study
Local Dutch elections suffer from a voter turnout decrease with 23% between 1986 and 2022. This raises general quality concerns about the local...
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Systeme für skalierbares Datenmanagement
Unabhängig von der serverseitigen Architektur ist das skalierbare Datenmanagement die primäre Herausforderung für hohe Leistung. Geschäfts- und...
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HTTP für global verteilte Anwendungen
Für jede verteilte Anwendung spielt das Netzwerk eine bedeutende Rolle für die Leistung. Im Web ist das zentrale Protokoll HTTP (Hypertext Transfer...
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A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning
Internet of Things (IoT) is an evolving paradigm for building smart cross-industry. The data gathered from IoT devices may have anomalies or other...
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A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching
Mobile Edge Computing (MEC) is a technology that enables on-demand the provision of computing and storage services as close to the user as possible....