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Advances in Visual Computing

15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5–7, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. George Bebis

    1. University of Nevada Reno, Reno, USA

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  2. Zhaozheng Yin

    1. Stony Brook University, Stony Brook, USA

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  3. Edward Kim

    1. Drexel University, Philadelphia, USA

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  4. Jan Bender

    1. RWTH Aachen University, Aachen, Germany

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  5. Kartic Subr

    1. University of Edinburgh, Edinburgh, UK

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  6. Bum Chul Kwon

    1. IBM Research – Cambridge, Cambridge, USA

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  7. Jian Zhao

    1. University of Waterloo, Waterloo, Canada

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  8. Denis Kalkofen

    1. Graz University of Technology, Graz, Austria

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  9. George Baciu

    1. The Hong Kong Polytechnic University, Hong Kong, Hong Kong

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12509)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ISVC 2020.

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About this book

This two-volume set of LNCS 12509 and 12510 constitutes the refereed proceedings of the 15th International Symposium on Visual Computing, ISVC 2020, which was supposed to be held in San Diego, CA, USA in October 2020, took place virtually instead due to the COVID-19 pandemic.

The 114 full and 4 short papers presented in these volumes were carefully reviewed and selected from 175 submissions. The papers are organized into the following topical sections:

Part I: deep learning; segmentation; visualization; video analysis and event recognition; ST: computational bioimaging; applications; biometrics; motion and tracking; computer graphics; virtual reality; and ST: computer vision advances in geo-spatial applications and remote sensing

Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for robotics; statistical pattern recognition; posters


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Keywords

Table of contents (57 papers)

  1. Front Matter

    Pages i-xxxvi
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  2. Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Regularization and Sparsity for Adversarial Robustness and Stable Attribution

      • Daniel Schwartz, Yigit Alparslan, Edward Kim
      Pages 3-14

    3. Self-Competitive Neural Networks

      • Iman Saberi, Fathiyeh Faghih
      Pages 15-26

    4. A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources

      • Tan Lu, Ann Dooms
      Pages 27-38

    5. Nonconvex Regularization for Network Slimming: Compressing CNNs Even More

      • Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
      Pages 39-53

    6. Biologically Inspired Sleep Algorithm for Variational Auto-Encoders

      • Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna
      Pages 54-67

    7. A Deep Genetic Programming Based Methodology for Art Media Classification Robust to Adversarial Perturbations

      • Gustavo Olague, Gerardo Ibarra-Vázquez, Mariana Chan-Ley, Cesar Puente, Carlos Soubervielle-Montalvo, Axel Martinez
      Pages 68-79

    8. rcGAN: Learning a Generative Model for Arbitrary Size Image Generation

      • Renato B. Arantes, George Vogiatzis, Diego R. Faria
      Pages 80-94

    9. Sketch-Inspector: A Deep Mixture Model for High-Quality Sketch Generation of Cats

      • Yunkui Pang, Zhiqing Pan, Ruiyang Sun, Shuchong Wang
      Pages 95-106

    10. Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3

      • Joseph Chakar, Rayan Al Sobbahi, Joe Tekli
      Pages 107-120

    11. Uncertainty Estimates in Deep Generative Models Using Gaussian Processes

      • Kai Katsumata, Ryoga Kobayashi
      Pages 121-132

  3. Segmentation

    1. Front Matter

      Pages 133-133
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    2. Towards Optimal Ship Navigation Using Image Processing

      • Bekir Sahin, Zia Uddin, Ahmet Soylu
      Pages 135-147

    3. Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation

      • Daniel Helm, Martin Kampel
      Pages 148-159

    4. Pixel-Level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation

      • Iason Katsamenis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
      Pages 160-169

    5. CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation

      • Renato B. Arantes, George Vogiatzis, Diego R. Faria
      Pages 170-181

    6. Improvements on the Superpixel Hierarchy Algorithm with Applications to Image Segmentation and Saliency Detection

      • Marcos J. C. E. Azevedo, Carlos A. B. Mello
      Pages 182-193

  4. Visualization

    1. Front Matter

      Pages 195-195
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    2. Referenced Based Color Transfer for Medical Volume Rendering

      • Sudarshan Devkota, Sumanta Pattanaik
      Pages 197-208
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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

  • Stony Brook University, Stony Brook, USA

    Zhaozheng Yin

  • Drexel University, Philadelphia, USA

    Edward Kim

  • RWTH Aachen University, Aachen, Germany

    Jan Bender

  • University of Edinburgh, Edinburgh, UK

    Kartic Subr

  • IBM Research – Cambridge, Cambridge, USA

    Bum Chul Kwon

  • University of Waterloo, Waterloo, Canada

    Jian Zhao

  • Graz University of Technology, Graz, Austria

    Denis Kalkofen

  • The Hong Kong Polytechnic University, Hong Kong, Hong Kong

    George Baciu

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