activity
20152021
most citedRoad Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks

150 citations · 387 across the 22 of their papers we have counts for

collaborators

23 papers

cs.CV2021★ 1 cited

Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images

Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor +2

Object detection is a challenging task in remote sensing because objects only occupy a few pixels in the images, and the models are required to simultaneously learn object location…

cs.CV2021★ 1 cited

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

Wei Liu, Pingping Zhang, Yinjie Lei +3

Image smoothing is a fundamental procedure in applications of both computer vision and graphics. The required smoothing properties can be different or even contradictive among diff…

cs.CV2021★ 1 cited

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset

Yulei Qin, Yun Gu, Hanxiao Zhang +5

To investigate whether the pleurae, airways and vessels surrounding a nodule on non-contrast computed tomography (CT) can discriminate benign and malignant pulmonary nodules. The L…

cs.CV2021★ 12 cited

Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery

Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot +2

Detection of objects is extremely important in various aerial vision-based applications. Over the last few years, the methods based on convolution neural networks have made substan…

cs.CV2020

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…

eess.IV2020★ 6 cited

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT

Yulei Qin, Hao Zheng, Yun Gu +6

Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imb…