183 citations · 364 across the 22 of their papers we have counts for
6 papers · 1 filter
Deep Learning Approaches in Pavement Distress Identification: A Review
Sizhe Guan, Haolan Liu, Hamid R. Pourreza +1
This paper presents a comprehensive review of recent advancements in image processing and deep learning techniques for pavement distress detection and classification, a critical as…
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
Mohammad Khodadad, Morteza Rezanejad, Ali Shiraee Kasmaee +3
The analysis of 3D point clouds has diverse applications in robotics, vision and graphics. Processing them presents specific challenges since they are naturally sparse, can vary in…
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
Saeideh Yousefzadeh, Hamidreza Pourreza, Hamidreza Mahyar
Content-based image retrieval is the process of retrieving a subset of images from an extensive image gallery based on visual contents, such as color, shape or spatial relations, a…
Contour Completion using Deep Structural Priors
Ali Shiraee, Morteza Rezanejad, Mohammad Khodadad +2
Humans can easily perceive illusory contours and complete missing forms in fragmented shapes. This work investigates whether such capability can arise in convolutional neural netwo…
Deep Learning Approaches on Image Captioning: A Review
Taraneh Ghandi, Hamidreza Pourreza, Hamidreza Mahyar
Image captioning is a research area of immense importance, aiming to generate natural language descriptions for visual content in the form of still images. The advent of deep learn…
Medial Spectral Coordinates for 3D Shape Analysis
Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar +4
In recent years there has been a resurgence of interest in our community in the shape analysis of 3D objects represented by surface meshes, their voxelized interiors, or surface po…