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  • © 2022

Pattern Recognition and Artificial Intelligence

Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part I

Conference proceedings info: ICPRAI 2022.

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Table of contents (57 papers)

  1. Front Matter

    Pages i-xxiii
  2. Computer Vision

    1. Front Matter

      Pages 1-1
    2. Structure-Aware Photorealistic Style Transfer Using Ghost Bottlenecks

      • Nhat-Tan Bui, Ngoc-Thao Nguyen, Xuan-Nam Cao
      Pages 15-24
    3. Analysing the Impact of Vibrations on Smart Wheelchair Systems and Users

      • Elhassan Mohamed, Konstantinos Sirlantzis, Gareth Howells
      Pages 25-33
    4. Visual Microfossil Identification via Deep Metric Learning

      • Tayfun Karaderi, Tilo Burghardt, Allison Y. Hsiang, Jacob Ramaer, Daniela N. Schmidt
      Pages 34-46
    5. QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis

      • Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch
      Pages 47-58
    6. Comparing Artificial Intelligence Algorithms in Computer Vision: The Weapon Detection Benchmark

      • Vincenzo Dentamaro, Paolo Giglio, Donato Impedovo, Giuseppe Pirlo
      Pages 72-83
    7. Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods

      • Tristan Gomez, Thomas Fréour, Harold Mouchère
      Pages 84-95
    8. Image Classification via Multi-branch Position Attention Network

      • Ke Zhang, Jun Yang, Kun Yuan, Qing-Song Wei, Si-Bao Chen
      Pages 96-108
    9. UGQE: Uncertainty Guided Query Expansion

      • Firat Oncel, Mehmet Aygün, Gulcin Baykal, Gozde Unal
      Pages 109-120
    10. Controlling the Quality of GAN-Based Generated Images for Predictions Tasks

      • Hajar Hammouch, Mounim El-Yacoubi, Huafeng Qin, Hassan Berbia, Mohamed Chikhaoui
      Pages 121-133
    11. A Framework for Registration of Multi-modal Spatial Transcriptomics Data

      • Yu Qiang, Shixu He, Renpeng Ding, Kailong Ma, Yong Hou, Yan Zhou et al.
      Pages 134-145
    12. Extracting and Classifying Salient Fields of View from Microscopy Slides of Tuberculosis Bacteria

      • Marios Zachariou, Ognjen Arandjelović, Evelin Dombay, Wilber Sabiiti, Bariki Mtafya, Derek Sloan
      Pages 146-157
  3. Segmentation

    1. Front Matter

      Pages 159-159
    2. Deep Learning for Fast Segmentation of E-waste Devices’ Inner Parts in a Recycling Scenario

      • Cristof Rojas, Antonio Rodríguez-Sánchez, Erwan Renaudo
      Pages 161-172
    3. Improving Semantic Segmentation with Graph-Based Structural Knowledge

      • Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch
      Pages 173-184
    4. Application of Rail Segmentation in the Monitoring of Autonomous Train’s Frontal Environment

      • Mohamed Amine Hadded, Ankur Mahtani, Sébastien Ambellouis, Jacques Boonaert, Hazem Wannous
      Pages 185-197
    5. DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet

      • Ali Karaali, Rozenn Dahyot, Donal J. Sexton
      Pages 198-210

Other Volumes

  1. Pattern Recognition and Artificial Intelligence

About this book

This two-volume set constitutes the proceedings of the Third International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022, which took place in Paris, France, in June 2022.
The 98 full papers presented were carefully reviewed and selected from 192 submissions. The papers present new advances in the field of pattern recognition and artificial intelligence. They are organized in topical sections as follows: pattern recognition; computer vision; artificial intelligence; big data.


Keywords

  • artificial intelligence
  • computer networks
  • computer science
  • computer systems
  • computer vision
  • databases
  • education
  • engineering
  • image analysis
  • image processing
  • image quality
  • image reconstruction
  • image segmentation
  • internet
  • learning
  • machine learning
  • mathematics
  • neural networks
  • pattern recognition
  • signal processing

Editors and Affiliations

  • Télécom SudParis, Palaiseau, France

    Mounîm El Yacoubi

  • École de Technologie Supérieure, Montreal, Canada

    Eric Granger

  • Hong Kong Baptist University, Kowloon, Hong Kong

    Pong Chi Yuen

  • Indian Statistical Institute, Kolkata, India

    Umapada Pal

  • Université Paris Cité, Paris, France

    Nicole Vincent

Bibliographic Information

  • Book Title: Pattern Recognition and Artificial Intelligence

  • Book Subtitle: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part I

  • Editors: Mounîm El Yacoubi, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-09037-0

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-09036-3Published: 02 June 2022

  • eBook ISBN: 978-3-031-09037-0Published: 01 June 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIII, 704

  • Number of Illustrations: 46 b/w illustrations, 252 illustrations in colour

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

Buy it now

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access