150 citations · 187 across the 24 of their papers we have counts for
6 papers · 1 filter
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +4
Generative Adversarial Networks (GANs) have been extremely successful in various application domains such as computer vision, medicine, and natural language processing. Moreover, t…
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou +2
Road extraction in remote sensing images is of great importance for a wide range of applications. Because of the complex background, and high density, most of the existing methods…
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Masoumeh Zareapoor, Pourya Shamsolmoali, Jie Yang
The collected data from industrial machines are often imbalanced, which poses a negative effect on learning algorithms. However, this problem becomes more challenging for a mixed t…
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen +2
The fact that image datasets are often imbalanced poses an intense challenge for deep learning techniques. In this paper, we propose a method to restore the balance in imbalanced i…
AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou +1
Human pose estimation has an important impact on a wide range of applications from human-computer interface to surveillance and content-based video retrieval. For human pose estima…
A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images
Pourya Shamsolmoali, Masoumeh Zareapoor, Ruili Wang +2
Sea-land segmentation is an important process for many key applications in remote sensing. Proper operative sea-land segmentation for remote sensing images remains a challenging is…