Advances in Visual Computing: 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II | SpringerLink
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Advances in Visual Computing

18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. George Bebis

    1. University of Nevada Reno, Reno, USA

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  2. Golnaz Ghiasi

    1. Google Research, Mountain View, USA

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  3. Yi Fang

    1. New York University, New York, USA

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  4. Andrei Sharf

    1. Ben-Gurion University, Be'er Sheva, Israel

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  5. Yue Dong

    1. Microsoft Research, Beijing, China

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  6. Chris Weaver

    1. The University of Oklahoma, Norman, USA

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  7. Zhicheng Leo

    1. University of Maryland, Collage Park, USA

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  8. Joseph J. LaViola Jr.

    1. University of Central Florida, Orlando, USA

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  9. Luv Kohli

    1. InnerOptic Technology, Hillsborough, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14362)

Included in the following conference series:

Conference proceedings info: ISVC 2023.

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About this book

This volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.

The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral  presentation in special tracks from 34 submissions. The following topical sections followed as:

Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.

Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.








Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xli
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  2. Virtual Reality

    1. Front Matter

      Pages 1-1
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    2. A Pilot Study Comparing User Interactions Between Augmented and Virtual Reality

      • Adam S. Williams, Xiaoyan Zhou, Anil Ufuk Batmaz, Michel Pahud, Francisco Ortega
      Pages 3-14

    3. Synthesizing Play-Ready VR Scenes with Natural Language Prompts Through GPT API

      • Lazaros Rafail Kouzelis, Ourania Spantidi
      Pages 15-26

    4. Emergent Individual Factors for AR Education and Training

      • Brendan Kelley, Anil Ufuk Batmaz, Michael Humphrey, Cyane Tornatzky, Rosa Martey, Francisco Ortega
      Pages 27-38

  3. Segmentation

    1. Front Matter

      Pages 39-39
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    2. ISLE: A Framework for Image Level Semantic Segmentation Ensemble

      • Erik Ostrowski, Muhammad Shafique
      Pages 41-52

    3. Particulate Mapping Centerline Extraction (PMCE), a Novel Centerline Extraction Algorithm Based on Patterns in the Spatial Distribution of Aggregates

      • Jerry Zhou, Jack Zhou, Jie Xu, Bruce Gaynes, Parisa Maribod, Mengren Wu
      Pages 53-64

    4. Evaluating Segmentation Approaches on Digitized Herbarium Specimens

      • Kenzo Milleville, Krishna Kumar Thirukokaranam Chandrasekar, Nico Van de Weghe, Steven Verstockt
      Pages 65-78

    5. Semantic Scene Filtering for Event Cameras in Long-Term Outdoor Monitoring Scenarios

      • Tobias Bolten, Regina Pohle-Fröhlich, Klaus D. Tönnies
      Pages 79-92

    6. SODAWideNet - Salient Object Detection with an Attention Augmented Wide Encoder Decoder Network Without ImageNet Pre-training

      • Rohit Venkata Sai Dulam, Chandra Kambhamettu
      Pages 93-105

  4. Applications

    1. Front Matter

      Pages 107-107
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    2. Foil-Net: Deep Wave Classification for Hydrofoil Surfing

      • Zachary Mossing, Sean Wu, Kevin Hong, Fabien Scalzo, Eun Sang Cha
      Pages 109-120

    3. Inpainting of Depth Images Using Deep Neural Networks for Real-Time Applications

      • Roland Fischer, Janis Roßkamp, Thomas Hudcovic, Anton Schlegel, Gabriel Zachmann
      Pages 121-135

    4. Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps

      • Tim Büchner, Sven Sickert, Roland Graßme, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler
      Pages 136-147

    5. Real-World Image Deblurring via Unsupervised Domain Adaptation

      • Hanzhou Liu, Binghan Li, Mi Lu, Yucheng Wu
      Pages 148-159

  5. Object Detection and Recognition

    1. Front Matter

      Pages 161-161
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    2. Reliable Matching by Combining Optimal Color and Intensity Information Based on Relationships Between Target and Surrounding Objects

      • Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto
      Pages 163-176

    3. Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning

      • Reece Walsh, Mohamed Shehata
      Pages 177-187

    4. Visual Foreign Object Detection for Wireless Charging of Electric Vehicles

      • Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón
      Pages 188-201
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Other volumes

  1. Advances in Visual Computing

  2. Advances in Visual Computing

Editors and Affiliations

  • University of Nevada Reno, Reno, USA

    George Bebis

  • Google Research, Mountain View, USA

    Golnaz Ghiasi

  • New York University, New York, USA

    Yi Fang

  • Ben-Gurion University, Be'er Sheva, Israel

    Andrei Sharf

  • Microsoft Research, Beijing, China

    Yue Dong

  • The University of Oklahoma, Norman, USA

    Chris Weaver

  • University of Maryland, Collage Park, USA

    Zhicheng Leo

  • University of Central Florida, Orlando, USA

    Joseph J. LaViola Jr.

  • InnerOptic Technology, Hillsborough, USA

    Luv Kohli

Bibliographic Information

  • Book Title: Advances in Visual Computing

  • Book Subtitle: 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II

  • Editors: George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., … Luv Kohli

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-47966-3

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-47965-6Published: 03 December 2023

  • eBook ISBN: 978-3-031-47966-3Published: 02 December 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLI, 484

  • Number of Illustrations: 15 b/w illustrations, 186 illustrations in colour

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

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