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  1. Multimodal Information Retrieval

    In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  2. Outlook

    While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  3. Multimodal Content Generation

    In this chapter, we will review the advances that are being made in this new field of multimodal content generation and also discuss several...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  4. Retrieval Augmented Modeling

    Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  5. Transformer-Driven Models for Language, Vision, and Multimodality

    In this chapter, we will learn about the modeling and learning techniques that drive multimodal applications. We will focus specifically on the...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  6. Introduction

    In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  7. Toward an Industrial Robot Gym

    This chapter briefly describes how to build a digital twin and how to make it work in order to benefit a modern factory. It describes how the digital...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  8. Creating SORDI: The Largest Synthetic Dataset for Industries

    This chapter describes SORDI, the largest Synthetic Industrial Dataset for Object Detection for Industries, jointly developed by BMW Group and...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  9. Digital Images – The Bread and Butter of Computer Vision

    This chapter focuses on the usage of Computer Vision (CV) in manufacturing for product inspection, quality assurance, workplace safety, and factory...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  10. Projects

    This is a special chapter dealing with security projects. We have arranged the projects in three parts. Part 1 consists of projects that can be done...
    Joseph Migga Kizza in Guide to Computer Network Security
    Chapter 2024
  11. Industrial Evolution Toward the Age of Imagination

    This chapter briefly describes transitions within the industrial age: from the first, second, and third industrial revolutions, to the current...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  12. How Visual Data Is Revolutionizing the Industry World

    This chapter briefly describes how Industry 4.0 technologies have placed digital multimedia data at the center of organizations of all sizes and...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  13. Standardization and Security Criteria: Security Evaluation of Computer Products

    Our growing dependence on technology and the corresponding skyrocketing security problems arising from it have all created a high demand for...
    Joseph Migga Kizza in Guide to Computer Network Security
    Chapter 2024
  14. Deep Learning-Based Solution for Intrusion Detection in the Internet of Things

    Securing the Internet of Things-based environment is a top priority for consumers, businesses, and governments. There are billions of devices...
    Akhil Chaurasia, Alok Mishra, ... Alok Kumar in Computational Intelligence and Network Systems
    Conference paper 2024
  15. Executive Summary

    Recent advancements in machine learning, particularly in natural language processing, have been marked by the emergence of large models pretrained on...
    Chapter 2024
  16. PDTW150K: A Dataset for Patent Drawing Retrieval

    We introduce a new large-scale patent dataset termed PDTW150K for patent drawing retrieval. The dataset contains more than 150,000 patents associated...
    Chan-Ming Hsu, Tse-Hung Lin, ... Chih-Yi Chiu in MultiMedia Modeling
    Conference paper 2024
  17. Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers

    Analyzing laparoscopic surgery videos presents a complex and multifaceted challenge, with applications including surgical training, intra-operative...
    Sahar Nasirihaghighi, Negin Ghamsarian, ... Klaus Schoeffmann in MultiMedia Modeling
    Conference paper 2024
  18. GreenScreen: A Multimodal Dataset for Detecting Corporate Greenwashing in the Wild

    Greenwashing, a form of deceptive marketing where organizations attempt to convince consumers that their offerings and operations are environmentally...
    Ujjwal Sharma, Stevan Rudinac, ... Marcel Worring in MultiMedia Modeling
    Conference paper 2024
  19. RESET: Relational Similarity Extension for V3C1 Video Dataset

    Effective content-based information retrieval (IR) is crucial across multimedia platforms, especially in the realm of videos. Whether navigating a...
    Patrik Veselý, Ladislav Peška in MultiMedia Modeling
    Conference paper 2024
  20. WikiMuTe: A Web-Sourced Dataset of Semantic Descriptions for Music Audio

    Multi-modal deep learning techniques for matching free-form text with music have shown promising results in the field of Music Information Retrieval...
    Benno Weck, Holger Kirchhoff, ... Xavier Serra in MultiMedia Modeling
    Conference paper 2024
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