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Pattern Recognition and Artificial Intelligence

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

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Mounîm El Yacoubi

    1. Télécom SudParis, Palaiseau, France

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  2. Eric Granger

    1. École de Technologie Supérieure, Montreal, Canada

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  3. Pong Chi Yuen

    1. Hong Kong Baptist University, Kowloon, Hong Kong

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  4. Umapada Pal

    1. Indian Statistical Institute, Kolkata, India

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  5. Nicole Vincent

    1. Université Paris Cité, Paris, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13363)

Included in the following conference series:

Conference proceedings info: ICPRAI 2022.

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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.


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Keywords

Table of contents (57 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Computer Vision

    1. Front Matter

      Pages 1-1
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    2. Identifying, Evaluating, and Addressing Nondeterminism in Mask R-CNNs

      • Stephen Price, Rodica Neamtu
      Pages 3-14

    3. Structure-Aware Photorealistic Style Transfer Using Ghost Bottlenecks

      • Nhat-Tan Bui, Ngoc-Thao Nguyen, Xuan-Nam Cao
      Pages 15-24

    4. Analysing the Impact of Vibrations on Smart Wheelchair Systems and Users

      • Elhassan Mohamed, Konstantinos Sirlantzis, Gareth Howells
      Pages 25-33

    5. Visual Microfossil Identification via Deep Metric Learning

      • Tayfun Karaderi, Tilo Burghardt, Allison Y. Hsiang, Jacob Ramaer, Daniela N. Schmidt
      Pages 34-46

    6. 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

    7. Towards a Unified Benchmark for Monocular Radial Distortion Correction and the Importance of Testing on Real-World Data

      • Christoph Theiß, Joachim Denzler
      Pages 59-71

    8. Comparing Artificial Intelligence Algorithms in Computer Vision: The Weapon Detection Benchmark

      • Vincenzo Dentamaro, Paolo Giglio, Donato Impedovo, Giuseppe Pirlo
      Pages 72-83

    9. Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods

      • Tristan Gomez, Thomas Fréour, Harold Mouchère
      Pages 84-95

    10. Image Classification via Multi-branch Position Attention Network

      • Ke Zhang, Jun Yang, Kun Yuan, Qing-Song Wei, Si-Bao Chen
      Pages 96-108

    11. UGQE: Uncertainty Guided Query Expansion

      • Firat Oncel, Mehmet Aygün, Gulcin Baykal, Gozde Unal
      Pages 109-120

    12. 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

    13. 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

    14. 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
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    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
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Other volumes

  1. Pattern Recognition and Artificial Intelligence

  2. Pattern Recognition and Artificial Intelligence

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

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