research
∙
07/10/2023
Automatic diagnosis of knee osteoarthritis severity using Swin transformer
Knee osteoarthritis (KOA) is a widespread condition that can cause chron...
share
research
∙
04/17/2023
Transformer with Selective Shuffled Position Embedding using ROI-Exchange Strategy for Early Detection of Knee Osteoarthritis
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal disorder that c...
research
∙
03/23/2023
A Confident Labelling Strategy Based on Deep Learning for Improving Early Detection of Knee OsteoArthritis
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal disorder that c...
research
∙
03/15/2023
Quality evaluation of point clouds: a novel no-reference approach using transformer-based architecture
With the increased interest in immersive experiences, point cloud came t...
research
∙
02/26/2023
Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee OsteoArthritis Classification
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal condition that ...
research
∙
02/20/2023
Kernel function impact on convolutional neural networks
This paper investigates the usage of kernel functions at the different l...
research
∙
02/09/2023
BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios
Point clouds are now commonly used to represent 3D scenes in virtual wor...
research
∙
11/14/2022
An Inter-observer consistent deep adversarial training for visual scanpath prediction
The visual scanpath is a sequence of points through which the human gaze...
research
∙
11/04/2022
PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment
Following the advent of immersive technologies and the increasing intere...
research
∙
11/02/2022
End-to-end deep multi-score model for No-reference stereoscopic image quality assessment
Deep learning-based quality metrics have recently given significant impr...
research
∙
10/19/2022
Deep-based quality assessment of medical images through domain adaptation
Predicting the quality of multimedia content is often needed in differen...
research
∙
09/22/2022
A domain adaptive deep learning solution for scanpath prediction of paintings
Cultural heritage understanding and preservation is an important issue f...
research
∙
01/01/2022
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images
This paper introduces a new framework to predict visual attention of omn...
research
∙
12/08/2021
A Simple and efficient deep Scanpath Prediction
Visual scanpath is the sequence of fixation points that the human gaze t...
research
∙
09/24/2021
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
We propose a novel deep reinforcement learning-based approach for 3D obj...
research
∙
06/29/2021
SALYPATH: A Deep-Based Architecture for visual attention prediction
Human vision is naturally more attracted by some regions within their fi...
research
∙
06/17/2021
A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis
This paper addresses the problem of blind stereoscopic image quality ass...
research
∙
02/25/2021
A deep perceptual metric for 3D point clouds
Point clouds are essential for storage and transmission of 3D content. A...
research
∙
09/22/2020
Kernelized dense layers for facial expression recognition
Fully connected layer is an essential component of Convolutional Neural ...
research
∙
10/28/2019
Blind Robust 3-D Mesh Watermarking based on Mesh Saliency and QIM quantization for Copyright Protection
Due to the recent demand of 3-D models in several applications like medi...
research
∙
10/24/2019