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Call for papers for upcoming Special Issues

Graph Learning for Computer Visionclick here for more information (downloadable pdf)

Topics include, but are not limited to:

  • Similarity measurement strategy
  • Theory of graph construction
  • Multi-graph learning
  • Heterogeneous graph learning
  • Dynamic graph learning
  • Graph-based classification/clustering
  • Graph-based hyperspectral image analysis
  • Application-oriented graph construction and learning
  • Graph neural network-based learning
  • Graph convolutional network-based learning
  • Joint learning of CNN and graph models
  • Graph learning for semi-/self-supervised learning
  • Graph learning on multi-modality data
  • Graph construction and embedding in CNN-based learning
  • Adversarial graph learning
  • Transfer learning with graphs

Previously published Special Issues

2020

Local Image Descriptors in Computer Vision

Vol. 14, Issue 4

2019

Visual Domain Adaptation and Generalization

Vol. 13, Issue 2

2018

Computer Vision in Cancer Data Analysis

Vol. 12, Issue 8

Special Section: Selected Papers from the 19th International Conference on Image Analysis and Processing (ICIAP) 2017

Vol. 12, Issue 7

Computer Vision for Animal Biometrics

Vol. 12, Issue 2

Special Section: Computer Vision in Healthcare and Assisted Living

Vol. 12, Issue 1

2017

Special Section: Deep Learning in Computer Vision

Vol. 11, Issue 8

2016

Video Analytics

Vol. 10, Issue 4

2015

Unsupervised feature learning for vision

Vol. 9, Issue 5

2012

Invited Papers from Editorial Board Members

Vol. 6, Issue 6

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