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Advances in Visual Computing

17th International Symposium, ISVC 2022, San Diego, CA, USA, October 3–5, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. George Bebis

    1. University of Nevada, Reno, USA

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  2. Bo Li

    1. University of Illinois Urbana-Champaign, Urbana, USA

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  3. Angela Yao

    1. National University of Singapore, Singapore, Singapore

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  4. Yang Liu

    1. Microsoft Research Asia, Beijing, China

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  5. Ye Duan

    1. University of Missouri, Columbia, USA

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  6. Manfred Lau

    1. City University of Hong Kong, Kowloon, Hong Kong

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  7. Rajiv Khadka

    1. Idaho National Laboratory, Idaho Falls, USA

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  8. Ana Crisan

    1. Salesforce, Seattle, USA

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  9. Remco Chang

    1. Tufts University, Medford, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13598)

Included in the following conference series:

Conference proceedings info: ISVC 2022.

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About this book

This two-volume set of LNCS 13598 and 13599 constitutes the refereed proceedings of the 17th International Symposium on Visual Computing, ISVC 2022, which was held in October 2022. 

The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections: 

Part I: ​deep learning I; visualization; object detection and recognition; deep learning II; video analysis and event recognition; computer graphics; ST: biomedical imaging techniques for cancer detection, diagnosis and management.

Part II: ​ST: neuro-inspired artificia intelligence; applications; segmentation and tracking; virtual reality; poster.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xxx
    Download chapter PDF

  2. Deep Learning I

    1. Front Matter

      Pages 1-1
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    2. Unsupervised Structure-Consistent Image-to-Image Translation

      • Shima Shahfar, Charalambos Poullis
      Pages 3-21

    3. Learning Representations for Masked Facial Recovery

      • Zaigham A. Randhawa, Shivang Patel, Donald A. Adjeroh, Gianfranco Doretto
      Pages 22-35

    4. Deep Learning Based Shrimp Classification

      • Patricia L. Suárez, Angel Sappa, Dario Carpio, Henry Velesaca, Francisca Burgos, Patricia Urdiales
      Pages 36-45

    5. Gait Emotion Recognition Using a Bi-modal Deep Neural Network

      • Yajurv Bhatia, A. S. M. Hossain Bari, Marina Gavrilova
      Pages 46-60

    6. Attacking Frequency Information with Enhanced Adversarial Networks to Generate Adversarial Samples

      • Jue Ding, Jun Yin, Jingyu Dun, Wanwan Zhang, Yayun Wang
      Pages 61-73

  3. Visualization

    1. Front Matter

      Pages 75-75
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    2. Explainable Interactive Projections for Image Data

      • Huimin Han, Rebecca Faust, Brian Felipe Keith Norambuena, Ritvik Prabhu, Timothy Smith, Song Li et al.
      Pages 77-90

    3. MultiProjector: Temporal Projection for Multivariates Time Series

      • Tommy Dang, Ngan V. T. Nguyen
      Pages 91-102

    4. Deep Learning Based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering

      • Sudarshan Devkota, Sumanta Pattanaik
      Pages 103-114

    5. Interactive Virtual Reality Exploration of Large-Scale Datasets Using Omnidirectional Stereo Images

      • Thomas Marrinan, Jifu Tan, Joseph A. Insley, Alina Kanayinkal, Michael E. Papka
      Pages 115-128

    6. A Quantitative Analysis of Labeling Issues in the CelebA Dataset

      • Bryson Lingenfelter, Sara R. Davis, Emily M. Hand
      Pages 129-141

  4. Object Detection and Recognition

    1. Front Matter

      Pages 143-143
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    2. Recognition of Aquatic Invasive Species Larvae Using Autoencoder-Based Feature Averaging

      • Shaif Chowdhury, Greg Hamerly
      Pages 145-161

    3. Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery

      • Azubuike M. Okorie, Sokratis Makrogiannis
      Pages 162-173

    4. Open-Set Plankton Recognition Using Similarity Learning

      • Ola Badreldeen Bdawy Mohamed, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Heikki Kälviäinen
      Pages 174-183

    5. Sensor Fusion Operators for Multimodal 2D Object Detection

      • Morteza Mousa Pasandi, Tianran Liu, Yahya Massoud, Robert Laganière
      Pages 184-195

    6. Learning When to Say “I Don’t Know"

      • Nicholas Kashani Motlagh, Jim Davis, Tim Anderson, Jeremy Gwinnup
      Pages 196-210

    7. Multi-class Detection and Tracking of Intracorporeal Suturing Instruments in an FLS Laparoscopic Box Trainer Using Scaled-YOLOv4

      • Mohsen Mohaidat, Janos L. Grantner, Saad A. Shebrain, Ikhlas Abdel-Qader
      Pages 211-221
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Other volumes

  1. Advances in Visual Computing

  2. Advances in Visual Computing

Editors and Affiliations

  • University of Nevada, Reno, USA

    George Bebis

  • University of Illinois Urbana-Champaign, Urbana, USA

    Bo Li

  • National University of Singapore, Singapore, Singapore

    Angela Yao

  • Microsoft Research Asia, Beijing, China

    Yang Liu

  • University of Missouri, Columbia, USA

    Ye Duan

  • City University of Hong Kong, Kowloon, Hong Kong

    Manfred Lau

  • Idaho National Laboratory, Idaho Falls, USA

    Rajiv Khadka

  • Salesforce, Seattle, USA

    Ana Crisan

  • Tufts University, Medford, USA

    Remco Chang

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