Journal of Computational Vision and Imaging Systems

Journal of Computational Vision and Imaging Systems provides a forum for the dissemination of research results and technical advances in the field of computer vision and imaging in various academic and industrial interests.  The goal of the journal is to bring together both academia and industry to share their joint expertise to promote the advancement and application of computer vision and imaging technologies.  Journal of Computational Vision and Imaging Systems is published on demand and is the official journal of the KWVIS Society.

Topics covered by the journal include, but are not limited to:

  • Reconstruction, restoration, and enhancement
  • Compression and transmission
  • Content-based image retrieval
  • Object detection, recognition, and classification
  • 3D and stereoscopic imaging and reconstruction
  • Multispectral imaging, processing, and analysis
  • Video processing and analytics
  • Biometrics processing and analysis
  • Visual quality assessment of images and video
  • Computational imaging
  • Machine learning / artificial intelligence
  • Applications to various fields (e.g., remote sensing, health monitoring, biomedical, consumer electronics, manufacturing, life sciences)

Vol 3, No 1 (2017)

Special Issue: Proceedings of CVIS 2017

Table of Contents

Articles

Integrating Multispectral Hemodynamic Imaging for Bulk Tissue Oxygenation Analysis
Megan Y Y Tran, Robert Amelard, Alexander Wong
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Impact of Training Images on Radiometric Compensation
Vignesh Sankar, Ahmed Gawish, Paul Fieguth
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Depth from Defocus via Active Multispectral Quasi-random Point Projections using Deep Learning
Avery Ma, Alexander Wong, David Clausi
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Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction
Devinder Kumar, Graham W. Taylor, Alexander Wong
Comparison of phase-resolved Doppler optical coherence tomography and optical coherence tomography angiography for measuring retinal blood vessels size
Zohreh Hosseinaee, Bingyao Tan, Kostadinka Bizheva
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Effects of Spatial Transformer Location on Segmentation Performance of a Dense Transformer Network
David Abou-Chacra, John Zelek
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Equivalence of histogram equalization, histogram matching and the Nyul algorithm for intensity standardization in MRI
Jesse Knight, Graham W. Taylor, April Khademi
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Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Mohammad Javad Shaifee, Brendan Chywl, Francis Li, Alexander Wong
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Ensembles of Random Projections for Nonlinear Dimensionality Reduction
Amir Hossein Karimi, Mohammad Javad Shafiee, Ali Ghodsi, Alexander Wong
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Skin Lesion Segmentation using Deep Hypercolumn Descriptors
Dhanesh Ramachandram, Graham W. Taylor
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Foot Depth Map Point Cloud Completion using Deep Learning with Residual Blocks
Nolan Lunscher, John Zelek
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Estimating Optimal Depth of VGG Net with Tree-Structured Parzen Estimators
Sunghwan Yao, Masoom A. Haider, Farzad Khalvati
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A Multi-layer Perceptron Approach to Automatically Detect Tissue via NIR Multispectral Imaging
Sandeep Gurm, Ossama Badawy, Alexander Wong
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Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection
Mohammad Javad Shafiee, Alexander Wong
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Hyperspectral image classification using deep convolutional neural networks
Zilong Zhong, Jonathan Li
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Motion Detection in High Resolution Enhancement
Xiaodan Hu, Avery Ma, Ahmed Gawish, Mark Lamm, Paul Fieguth
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Compensated Row-Column Ultrasound Imaging System Using Edge-Guided Three Dimensional Random Fields
Ibrahim Ben Daya, Albert I.H. Chen, Mohammad Javad Shafiee, John T.W. Yeow, Alexander Wong
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Efficient Deep Network Architecture for Vision-Based Vehicle Detection Keyvan Kasiri,
Keyvan Kasiri, Mohammad Javad Shafiee, Francis Li, Alexander Wong, Justin Eichel
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Automated Screening for Diabetic Retinopathy Using Compact Deep Networks
Nolan Lunscher, Mei Lin Chen, Ning Jiang, John Zelek
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Polyploidism in Deep Neural Networks: m-Parent Evolutionary Synthesis of Deep Neural Networks in Varying Population Sizes
Audrey G. Chung, Paul Fieguth, Alexander Wong
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Design space exploration of Convolutional Neural Networks based on Evolutionary Algorithms
Abeer Al-Hyari, Shawki Areibi
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