Skip to main content
Springer Nature Link
Log in

Pattern Recognition and Artificial Intelligence

4th International Conference, ICPRAI 2024, Jeju Island, South Korea, July 03-06, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Christian Wallraven

    1. Korea University, Seoul, Korea (Republic of)

  2. Cheng-Lin Liu

    1. Chinese Academy of Sciences, Beijing, China

  3. Arun Ross

    1. Michigan State University, Michigan, USA

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14893)

Included in the following conference series:

Conference proceedings info: ICPRAI 2024.

  • 695 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This volume constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, held in Jeju Island, South Korea, during July 03-06, 2024. 

The 69 full papers presented together with 08 short papers were carefully reviewed and selected from a total of 135 submissions. The conference focuses on topics that includes advanced deep learning approaches for image and document processing, generative AI, novel analysis methods for medical data, and biometrics. 

Similar content being viewed by others

Keywords

Table of contents (35 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Poster Session

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Transparency Distortion Robustness for SOTA Image Segmentation Tasks

      • Volker Knauthe, Arne Rak, Tristan Wirth, Thomas Pöllabauer, Simon Metzler, Arjan Kuijper et al.
      Pages 3-16

    3. Affordance Perception by a Knowledge-Guided Vision-Language Model with Efficient Error Correction

      • Gertjan J. Burghouts, Marianne Schaaphok, Michael van Bekkum, Wouter Meijer, Fieke Hillerstrüm, Jell van Mil
      Pages 17-30

    4. Identify Deceptive Reviews in Cross-Domain Content with BERT

      • Yi Chin Chen, Li Ju Chen, Ping-Yu Hsu, Ming-Shien Cheng, Yu-Chun Chen
      Pages 31-46

    5. An Evaluation of Representational Similarity Analysis for Model Selection and Assessment in Computational Neuroscience

      • Luke Chen
      Pages 47-64

    6. Adaptive DRL Specular Reflection Removal for Enhanced Polyps Detection

      • Abdulrahman Soliman, Somaya Al-Maadeed, Amr Mohamed
      Pages 65-75

    7. Detecting Bias in Large Language Models: Fine-Tuned KcBERT

      • Jun Koo Lee, Tai-Myoung Chung
      Pages 76-90

    8. Identifying the Source of Generation for Large Language Models

      • Bumjin Park, Jaesik Choi
      Pages 91-105

    9. Extending 6D Object Pose Estimators for Stereo Vision

      • Thomas Pöllabauer, Jan Emrich, Volker Knauthe, Arjan Kuijper
      Pages 106-119

    10. Offline Imitation Learning by Controlling the Effective Planning Horizon

      • Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee
      Pages 120-150

    11. TIFu: Tri-Directional Implicit Function for High-Fidelity 3D Character Reconstruction

      • Byoungsung Lim, Seong-Whan Lee
      Pages 151-165

    12. A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks

      • Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
      Pages 166-181

    13. Automated Error Detection Through Specialized Task Implementation

      • Corina Masanti, Hans-Friedrich Witschel, Kaspar Riesen
      Pages 182-195

    14. Clustering Time Series Data for Personalized Type 1 Diabetes Management

      • Aylin Taştan, Clara Escorihuela-Altaba, Jose Garcia-Tirado, Kaspar Riesen
      Pages 196-211

    15. Oracle Character Prototype-Guided Cyclic Disentanglement for Oracle Bone Inscriptions Detection

      • Bang Li, Jingping Zhang, Nana Yu, Zihao Zhang, Yongge Liu, Yahong Han
      Pages 212-226

    16. Social Network-Based Academic Recommendation

      • Shuang Wang, Shu Jiang, Xiaoyu Du
      Pages 227-241

    17. ConstScene: A Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environment

      • Maghsood Salimi, Mohammad Loni, Sara Afshar, Antonio Cicchetti, Marjan Sirjani
      Pages 242-253

    18. Influence of Water Droplet Contamination for Transparency Segmentation

      • Volker Knauthe, Paul Weitz, Thomas Pöllabauer, Tristan Wirth, Arne Rak, Arjan Kuijper et al.
      Pages 254-268

    19. A Similarity-Based Training Strategy with Network-Level Perturbation for Semi-supervised Semantic Segmentation

      • Jongbin Chae, Dong-Gyu Lee
      Pages 269-280
Back to top

Other volumes

  1. Pattern Recognition and Artificial Intelligence

  2. Pattern Recognition and Artificial Intelligence

Editors and Affiliations

  • Korea University, Seoul, Korea (Republic of)

    Christian Wallraven

  • Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

  • Michigan State University, Michigan, USA

    Arun Ross

Accessibility Information

Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.

Bibliographic Information

  • Book Title: Pattern Recognition and Artificial Intelligence

  • Book Subtitle: 4th International Conference, ICPRAI 2024, Jeju Island, South Korea, July 03-06, 2024, Proceedings, Part II

  • Editors: Christian Wallraven, Cheng-Lin Liu, Arun Ross

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-97-8705-0

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025

  • Softcover ISBN: 978-981-97-8704-3Published: 08 February 2025

  • eBook ISBN: 978-981-97-8705-0Published: 07 February 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 479

  • Number of Illustrations: 13 b/w illustrations, 160 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics

Publish with us

Policies and ethics

Back to top