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06/02/2023
An Attentive-based Generative Model for Medical Image Synthesis
Magnetic resonance (MR) and computer tomography (CT) imaging are valuabl...
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05/19/2023
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification
Most semi-supervised learning (SSL) models entail complex structures and...
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11/20/2022
Auto-Focus Contrastive Learning for Image Manipulation Detection
Generally, current image manipulation detection models are simply built ...
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11/02/2022
DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data
Magnetic resonance (MR) and computer tomography (CT) images are two typi...
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03/13/2022
Secret-to-Image Reversible Transformation for Generative Steganography
Recently, generative steganography that transforms secret information to...
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01/15/2022
Learning Hierarchical Graph Representation for Image Manipulation Detection
The objective of image manipulation detection is to identify and locate ...
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09/14/2018
Non-iterative recomputation of dense layers for performance improvement of DCNN
An iterative method of learning has become a paradigm for training deep ...
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05/11/2017
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets
Following the rapidly growing digital image usage, automatic image categ...
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12/17/2014
High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images
A blind approach to evaluate the perceptual sharpness present in a natur...
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12/17/2014
Full-reference image quality assessment by combining global and local distortion measures
Full-reference image quality assessment (FR-IQA) techniques compare a re...
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05/06/2014
