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Advances in Visual Computing

14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11844)

Included in the following conference series:

Conference proceedings info: ISVC 2019.

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About this book

This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019.

The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.

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Keywords

Table of contents (54 papers)

  1. Deep Learning I

  2. Computer Graphics I

  3. Segmentation/Recognition

  4. Video Analysis and Event Recognition

Other volumes

  1. Advances in Visual Computing

  2. Advances in Visual Computing

Editors and Affiliations

  • University of Nevada, Reno, USA

    George Bebis, Bahram Parvin

  • NASA Ames Research Center, Moffett Field, USA

    Richard Boyle

  • Desert Research Institute, Reno, USA

    Darko Koracin

  • Lawrence Berkeley National Laboratory, Berkeley, USA

    Daniela Ushizima

  • Latent AI, Palo Alto, USA

    Sek Chai

  • Texas A&M University, College Station, USA

    Shinjiro Sueda

  • Louisiana State University, Baton Rouge, USA

    Xin Lin

  • University of North Carolina at Charlotte, Charlotte, USA

    Aidong Lu

  • École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Daniel Thalmann

  • Notre Dame University, Notre Dame, USA

    Chaoli Wang

  • Bosch Research North America, Palo Alto, USA

    Panpan Xu

Bibliographic Information

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