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Advances in Visual Computing

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

  • 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 12510)

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 118 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 (61 papers)

  1. Front Matter

    Pages i-xxviii
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  2. Object Recognition/Detection/Categorization

    1. Front Matter

      Pages 1-1
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    2. Few-Shot Image Recognition with Manifolds

      • Debasmit Das, J. H. Moon, C. S. George Lee
      Pages 3-14

    3. A Scale-Aware YOLO Model for Pedestrian Detection

      • Xingyi Yang, Yong Wang, Robert Laganière
      Pages 15-26

    4. Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures

      • Fatma Najar, Nizar Bouguila
      Pages 27-38

    5. SAT-CNN: A Small Neural Network for Object Recognition from Satellite Imagery

      • Dustin K. Barnes, Sara R. Davis, Emily M. Hand
      Pages 39-52

    6. Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-Grained Visual Categorization

      • Ashiq Imran, Vassilis Athitsos
      Pages 53-65

  3. 3D Reconstruction

    1. Front Matter

      Pages 67-67
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    2. A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction

      • Kuo-Shiuan Peng, Gregory Ditzler, Jerzy Rozenblit
      Pages 69-81

    3. Iterative Closest Point with Minimal Free Space Constraints

      • Simen Haugo, Annette Stahl
      Pages 82-95

    4. Minimal Free Space Constraints for Implicit Distance Bounds

      • Simen Haugo, Annette Stahl
      Pages 96-109

  4. Medical Image Analysis

    1. Front Matter

      Pages 111-111
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    2. Fetal Brain Segmentation Using Convolutional Neural Networks with Fusion Strategies

      • Andrik Rampun, Deborah Jarvis, Paul Griffiths, Paul Armitage
      Pages 113-124

    3. Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography

      • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Zuckerbrod, Salah A. Baker, Kenton M. Sanders
      Pages 125-138

    4. Multiscale Detection of Cancerous Tissue in High Resolution Slide Scans

      • Qingchao Zhang, Coy D. Heldermon, Corey Toler-Franklin
      Pages 139-153

    5. DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks

      • Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen et al.
      Pages 154-165

    6. Multi-modal Image Fusion Based on Weight Local Features and Novel Sum-Modified-Laplacian in Non-subsampled Shearlet Transform Domain

      • Hajer Ouerghi, Olfa Mourali, Ezzeddine Zagrouba
      Pages 166-179

    7. Robust Prostate Cancer Classification with Siamese Neural Networks

      • Alberto Rossi, Monica Bianchini, Franco Scarselli
      Pages 180-189

  5. Vision for Robotics

    1. Front Matter

      Pages 191-191
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    2. Simple Camera-to-2D-LiDAR Calibration Method for General Use

      • Andrew H. Palmer, Chris Peterson, Janelle Blankenburg, David Feil-Seifer, Monica Nicolescu
      Pages 193-206
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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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