Pourya Shamsolmoali

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Learning depth super-resolution by using multi-scale convolutional neural network

Jie Yang, Pourya Shamsolmoali, Masoumeh Zareapoor, 2019, J. Intell. Fuzzy Syst..

Data Mining for Secure Online Payment Transaction

Masoumeh Zareapoor, Pourya Shamsolmoali, M. Alam, 2017 .

What influences news learning and sharing on mobile platforms? An analysis of multi-level informational factors.

Masoumeh Zareapoor, Pourya Shamsolmoali, Jianmei Wang, 2022, Library Hi Tech.

Advances in domain adaptation for computer vision

Pourya Shamsolmoali, Huiyu Zhou, M. Emre Celebi, 2021, Image Vis. Comput..

Wasserstein Embedding for Capsule Learning

Swagatam Das, Éric Granger, Masoumeh Zareapoor, 2022, ArXiv.

Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks pdf

Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, 2020, Neurocomputing.

High-dimensional multimedia classification using deep CNN and extended residual units

Jie Yang, Masoumeh Zareapoor, Pourya Shamsolmoali, 2018, Multimedia Tools and Applications.

Application of Credit Card Fraud Detection: Based on Bagging Ensemble Classifier

Pourya Shamsolmoali, Masoumeh Zareapoor, Masoumeh Zareapoor, 2015 .

Convolutional neural network in network (CNNiN): hyperspectral image classification and dimensionality reduction

Jie Yang, Pourya Shamsolmoali, Masoumeh Zareapoor, 2019, IET Image Process..

Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis pdf

Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, 2020, ArXiv.

Single image resolution enhancement by efficient dilated densely connected residual network

Pourya Shamsolmoali, Xiaofang Li, Ruili Wang, 2019, Signal Process. Image Commun..

G-GANISR: Gradual generative adversarial network for image super resolution

Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, 2019, Neurocomputing.

Deep convolution network for surveillance records super-resolution

Jie Yang, Masoumeh Zareapoor, Pourya Shamsolmoali, 2019, Multimedia Tools and Applications.

Extended deep neural network for facial emotion recognition

Pourya Shamsolmoali, Deepak Kumar Jain, Paramjit Sehdev, 2019, Pattern Recognit. Lett..

An evolutionary lion optimization algorithm‐based image compression technique for biomedical applications

Mohamed Elhoseny, Shankar Kathiresan, Pourya Shamsolmoali, 2020, Expert Syst. J. Knowl. Eng..

Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks pdf

Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Hybrid deep neural networks for face emotion recognition

Neha Jain, Pourya Shamsolmoali, Masoumeh Zareapoor, 2018, Pattern Recognit. Lett..

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies pdf

Ruili Wang, Pourya Shamsolmoali, Masoumeh Zareapoor, 2020, Inf. Fusion.

Multi-frame feature-fusion-based model for violence detection

Xiangjian He, Pourya Shamsolmoali, Mujtaba Asad, 2020, The Visual Computer.

Multi-frame feature-fusion-based model for violence detection

Xiangjian He, Pourya Shamsolmoali, Jie Yang, 2020, The Visual Computer.

Deep learning approaches for real-time image super-resolution

Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang, 2020, Neural Computing and Applications.

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

Jocelyn Chanussot, Pourya Shamsolmoali, Masoumeh Zareapoor, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Image super resolution by dilated dense progressive network

Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, 2019, Image Vis. Comput..

AMIL

Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, 2020, ACM Transactions on Multimedia Computing, Communications, and Applications.

AMIL: Adversarial Multi Instance Learning for Human Pose Estimation pdf

Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images

Jocelyn Chanussot, Pourya Shamsolmoali, Masoumeh Zareapoor, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Image Completion via Dual-path Cooperative Filtering

Masoumeh Zareapoor, Pourya Shamsolmoali, Eric Granger, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep neural learning techniques with long short-term memory for gesture recognition

Pourya Shamsolmoali, Deepak Kumar Jain, Aniket Mahanti, 2020, Neural Computing and Applications.

Kernelized support vector machine with deep learning: An efficient approach for extreme multiclass dataset

Jie Yang, Pourya Shamsolmoali, Masoumeh Zareapoor, 2017, Pattern Recognit. Lett..

Multispectral image fusion using super-resolution conditional generative adversarial networks

Jie Yang, Deying Feng, Pourya Shamsolmoali, 2018, Journal of Applied Remote Sensing.

Advance DDOS detection and mitigation technique for securing cloud

Pourya Shamsolmoali, Masoumeh Zareapoor, M. Afshar Alam, 2018, Int. J. Comput. Sci. Eng..

TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization

Jie Yang, L. Gardes, Pourya Shamsolmoali, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Multi-Aspect DDOS Detection System for Securing Cloud Network

Pourya Shamsolmoali, Masoumeh Zareapoor, M. Afshar Alam, 2019, Cloud Security.

A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Deep semantic preserving hashing for large scale image retrieval

Jie Yang, Masoumeh Zareapoor, Pourya Shamsolmoali, 2019, Multimedia Tools and Applications.

Synthetic guided domain adaptive and edge aware network for crowd counting

Pourya Shamsolmoali, Jie Yang, Zhijie Cao, 2020, Image Vis. Comput..

Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold

Masoumeh Zareapoor, Pourya Shamsolmoali, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Weak-supervised Visual Geo-localization via Attention-based Knowledge Distillation

Yifan Xu, Jie Yang, Pourya Shamsolmoali, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification

Rafael M. O. Cruz, Pourya Shamsolmoali, Mahdi Alehdaghi, 2023, ArXiv.

VTAE: Variational Transformer Autoencoder With Manifolds Learning

D. Tao, Masoumeh Zareapoor, Pourya Shamsolmoali, 2023, IEEE Transactions on Image Processing.

Handling Class Imbalance by Estimating Minority Class Statistics

Swagatam Das, Pourya Shamsolmoali, Faizanuddin Ansari, 2023, IEEE International Joint Conference on Neural Network.

Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images

J. Chanussot, Junliang Yang, Masoumeh Zareapoor, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

ClusVPR: Efficient Visual Place Recognition with Clustering-based Weighted Transformer

Pourya Shamsolmoali, Yifan Xu, Jie Yang, 2023, ArXiv.

Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification

Rafael M. O. Cruz, Pourya Shamsolmoali, Mahdi Alehdaghi, 2023, ArXiv.

Statistical-based filtering system against DDOS attacks in cloud computing

Pourya Shamsolmoali, Masoumeh Zareapoor, Masoumeh Zareapoor, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

C2DF: High Rate DDOS filtering method in Cloud Computing

Pourya Shamsolmoali, M. Afshar Alam, Ranjit Biswas, 2014 .

Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology

Pourya Shamsolmoali, Luke McCaffrey, Shakeeb Murtaza, 2024, 2404.19113.

TGF: Multiscale transformer graph attention network for multi-sensor image fusion

Hafiz Tayyab Mustafa, Pourya Shamsolmoali, Ik Hyun Lee, 2023, Expert Syst. Appl..