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Computer Vision Systems

13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Markus Vincze

    1. TU Wien, Vienna, Austria

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  2. Timothy Patten

    1. University of Technology Sydney, Sydney, Australia

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  3. Henrik I Christensen

    1. University of California San Diego, La Jolla, USA

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  4. Lazaros Nalpantidis

    1. Technical University of Denmark, Kongens Lyngby, Denmark

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  5. Ming Liu

    1. Hong Kong University of Science and Technology, Hong Kong, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12899)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICVS 2021.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xi
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  2. Attention Systems

    1. Front Matter

      Pages 1-1
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    2. Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields

      • Nolan B. Gutierrez, William J. Beksi
      Pages 3-13

    3. MARL: Multimodal Attentional Representation Learning for Disease Prediction

      • Ali Hamdi, Amr Aboeleneen, Khaled Shaban
      Pages 14-27

    4. Object Localization with Attribute Preference Based on Top-Down Attention

      • Soubarna Banik, Mikko Lauri, Alois Knoll, Simone Frintrop
      Pages 28-40

    5. See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion

      • Danu Caus, Guillaume Carbajal, Timo Gerkmann, Simone Frintrop
      Pages 41-51

  3. Classification and Detection

    1. Front Matter

      Pages 53-53
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    2. Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics

      • Riccardo Grigoletto, Elisa Maiettini, Lorenzo Natale
      Pages 55-67

    3. Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps

      • George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula
      Pages 68-81

    4. Object Detection on TPU Accelerated Embedded Devices

      • Bertalan Kovács, Anders D. Henriksen, Jonathan Dyssel Stets, Lazaros Nalpantidis
      Pages 82-92

    5. Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification

      • Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier
      Pages 93-103

  4. Semantic Interpretation

    1. Front Matter

      Pages 105-105
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    2. Measuring the Sim2Real Gap in 3D Object Classification for Different 3D Data Representation

      • Jean-Baptiste Weibel, Rainer Rohrböck, Markus Vincze
      Pages 107-116

    3. Spatially-Constrained Semantic Segmentation with Topological Maps and Visual Embeddings

      • Christina Theodoridou, Andreas Kargakos, Ioannis Kostavelis, Dimitrios Giakoumis, Dimitrios Tzovaras
      Pages 117-129

    4. Knowledge-Enabled Generation of Semantically Annotated Image Sequences of Manipulation Activities from VR Demonstrations

      • Andrei Haidu, Xiaoyue Zhang, Michael Beetz
      Pages 130-143

    5. Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts

      • Matteo Terreran, Daniele Evangelista, Jacopo Lazzaro, Alberto Pretto
      Pages 144-156

  5. Video and Motion Analysis

    1. Front Matter

      Pages 157-157
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    2. Video Popularity Prediction Through Fusing Early Viewership with Video Content

      • Alexandros Vrochidis, Nikolaos Dimitriou, Stelios Krinidis, Savvas Panagiotidis, Stathis Parcharidis, Dimitrios Tzovaras
      Pages 159-168

    3. Action Prediction During Human-Object Interaction Based on DTW and Early Fusion of Human and Object Representations

      • Victoria Manousaki, Konstantinos Papoutsakis, Antonis Argyros
      Pages 169-179

    4. GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids

      • Özgür Erkent, David Sierra Gonzalez, Anshul Paigwar, Christian Laugier
      Pages 180-194
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  1. Computer Vision Systems

Keywords

About this book

This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually.
The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture.

Editors and Affiliations

  • TU Wien, Vienna, Austria

    Markus Vincze

  • University of Technology Sydney, Sydney, Australia

    Timothy Patten

  • University of California San Diego, La Jolla, USA

    Henrik I Christensen

  • Technical University of Denmark, Kongens Lyngby, Denmark

    Lazaros Nalpantidis

  • Hong Kong University of Science and Technology, Hong Kong, China

    Ming Liu

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