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20092023
most citedDeep Learning Approaches on Image Captioning: A Review

183 citations · 235 across the 14 of their papers we have counts for

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11 papers · 1 filter

cs.CV2023★ 9 cited

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…

cs.CV2023

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…

cs.CV2022★ 183 cited

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…

cs.CV2017★ 2 cited

Microaneurysm Detection in Fundus Images Using a Two-step Convolutional Neural Networks

Noushin Eftekheri, Mojtaba Masoudi, Hamidreza Pourreza +2

Diabetic Retinopathy (DR) is a prominent cause of blindness in the world. The early treatment of DR can be conducted from detection of microaneurysms (MAs) which appears as reddish…

cs.CV2017★ 1 cited

A dataset for Computer-Aided Detection of Pulmonary Embolism in CTA images

Mojtaba Masoudi, Hamidreza Pourreza, Mahdi Saadatmand Tarzjan +3

Todays, researchers in the field of Pulmonary Embolism (PE) analysis need to use a publicly available dataset to assess and compare their methods. Different systems have been desig…

cs.CV2016★ 3 cited

Image and Depth from a Single Defocused Image Using Coded Aperture Photography

Mina Masoudifar, Hamid Reza Pourreza

Depth from defocus and defocus deblurring from a single image are two challenging problems that are derived from the finite depth of field in conventional cameras. Coded aperture i…