Graph convolutional neural networks for hyperspectral data classification FF Shahraki, S Prasad 2018 IEEE global conference on signal and information processing (GlobalSIP …, 2018 | 55 | 2018 |
Deep learning for hyperspectral image analysis, part II: Applications to remote sensing and biomedicine FF Shahraki, L Saadatifard, S Berisha, M Lotfollahi, D Mayerich, S Prasad Hyperspectral Image Analysis: Advances in Machine Learning and Signal …, 2020 | 31* | 2020 |
Structured receptive field networks and applications to hyperspectral image classification D Labate, M Safaripoorfatide, N Karantzas, S Prasad, ... Wavelets and Sparsity XVIII, 2019 | 9 | 2019 |
Multi-Modal Image Sharpening in Fourier Transform Infrared (FTIR) Microscopy R Mankar, C Gajjela, F Foroozandeh Shahraki, S Prasad, D Mayerich, ... Analyst, 2021 | 8 | 2021 |
Bicycle detection using hog, hsc and mlbp FF Shahraki, AP Yazdanpanah, EE Regentova, V Muthukumar Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 7 | 2015 |
A trajectory based method of automatic counting of cyclist in traffic video data FF Shahraki, AP Yazdanpanah, EE Regentova, V Muthukumar International Journal on Artificial Intelligence Tools 26 (04), 1750015, 2017 | 5 | 2017 |
Cyclist detection, tracking, and trajectory analysis in urban traffic video data F Foroozandeh Shahraki | 4 | 2017 |
Sparse-view CT reconstruction based on nonconvex L1− L2 Regularizations AP Yazdanpanah, F Foroozandeh Shahraki, E Regentova International Journal of Computer and Information Engineering 11 (4), 472-475, 2017 | 3 | 2017 |
Deep Learning for Multi-Channel Image Analysis with Applications to Remote Sensing and Biomedicine F Foroozandeh Shahraki | | 2022 |
Joint Spatial and Graph Convolutional Neural Networks-A Hybrid Model for Spatial-Spectral Geospatial Image Analysis FF Shahraki, S Prasad IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2021 | | 2021 |