research
∙
08/01/2023
Deep Learning Approaches in Pavement Distress Identification: A Review
This paper presents a comprehensive review of recent advancements in ima...
share
research
∙
03/31/2023
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
The analysis of 3D point clouds has diverse applications in robotics, vi...
research
∙
03/15/2023
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
Content-based image retrieval is the process of retrieving a subset of i...
research
∙
02/09/2023
Contour Completion using Deep Structural Priors
Humans can easily perceive illusory contours and complete missing forms ...
research
∙
01/31/2022
Deep Learning Approaches on Image Captioning: A Review
Automatic image captioning, which involves describing the contents of an...
research
∙
01/29/2022
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework
Graph convolutional networks (GCNs) allow us to learn topologically-awar...
research
∙
01/25/2022
Autonomous Vehicles: Open-Source Technologies, Considerations, and Development
Autonomous vehicles are the culmination of advances in many areas such a...
research
∙
01/05/2022
Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images
Objective: Multiple Sclerosis (MS) is an autoimmune, and demyelinating d...
research
∙
11/26/2021
Medial Spectral Coordinates for 3D Shape Analysis
In recent years there has been a resurgence of interest in our community...
research
∙
10/11/2019
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs
As the availability and importance of temporal interaction data–such as ...
research
∙
09/26/2019
A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things
The Social Internet of Things (SIoT), integration of Internet of Things ...
research
∙
09/26/2019
A Matrix Factorization Model for Hellinger-based Trust Management in Social IoT
The Social Internet of Things (SIoT), integration of Internet of Things ...
research
∙
06/19/2019
Compressive Closeness in Networks
Distributed algorithms for network science applications are of great imp...
research
∙
05/28/2019
