Maryam Asadi-Aghbolaghi
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Bi-directional ConvLSTM U-Net with densley connected convolutions
R Azad, M Asadi-Aghbolaghi, M Fathy, S Escalera
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
A survey on deep learning based approaches for action and gesture recognition in image sequences
M Asadi-Aghbolaghi, A Clapes, M Bellantonio, HJ Escalante, ...
2017 12th IEEE international conference on automatic face & gesture …, 2017
Attention deeplabv3+: Multi-level context attention mechanism for skin lesion segmentation
R Azad, M Asadi-Aghbolaghi, M Fathy, S Escalera
European conference on computer vision, 251-266, 2020
Multi-level context gating of embedded collective knowledge for medical image segmentation
M Asadi-Aghbolaghi, R Azad, M Fathy, S Escalera
arXiv preprint arXiv:2003.05056, 2020
Deep learning for action and gesture recognition in image sequences: A survey
M Asadi-Aghbolaghi, A Clapés, M Bellantonio, HJ Escalante, ...
Gesture Recognition, 539-578, 2017
Dynamic 3D hand gesture recognition by learning weighted depth motion maps
R Azad, M Asadi-Aghbolaghi, S Kasaei, S Escalera
IEEE Transactions on Circuits and Systems for Video Technology 29 (6), 1729-1740, 2018
Deep frequency re-calibration u-net for medical image segmentation
R Azad, A Bozorgpour, M Asadi-Aghbolaghi, D Merhof, S Escalera
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
An ensemble based approach for feature selection
H Parvin, H Alinejad-Rokny, M Asadi
Journal of Applied Sciences Research 7 (9), 33-43, 2011
Action recognition from RGB-D data: Comparison and fusion of spatio-temporal handcrafted features and deep strategies
M Asadi-Aghbolaghi, H Bertiche, V Roig, S Kasaei, S Escalera
Proceedings of the IEEE International conference on computer vision …, 2017
Hierarchy-Debug: a scalable statistical technique for fault localization
S Parsa, M Vahidi-Asl, M Asadi-Aghbolaghi
Software Quality Journal 22, 427-466, 2014
An ensemble based approach for feature selection
B Minaei-Bidgoli, M Asadi, H Parvin
International Conference on Engineering Applications of Neural Networks, 240-246, 2011
Supervised spatio-temporal kernel descriptor for human action recognition from RGB-depth videos
M Asadi-Aghbolaghi, S Kasaei
Multimedia Tools and Applications 77, 14115-14135, 2018
Stacked BCDU-Net with semantic CMR synthesis: Application to myocardial pathology segmentation challenge
C Martín-Isla, M Asadi-Aghbolaghi, P Gkontra, VM Campello, S Escalera, ...
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic …, 2020
Automatic access control based on face and hand biometrics in a non-cooperative context
MNS Jahromi, MB Bonderup, M Asadi-Aghbolaghi, E Avots, K Nasrollahi, ...
2018 IEEE Winter Applications of Computer Vision Workshops (WACVW), 28-36, 2018
Statistical debugging using a hierarchical model of correlated predicates
S Parsa, M Asadi-Aghbolaghi, M Vahidi-Asl
Artificial Intelligence and Computational Intelligence: Third International …, 2011
ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk …
P Azadi, J Suderman, R Nakhli, K Rich, M Asadi, S Kung, H Oo, M Keyes, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Co-pilot: Dynamic top-down point cloud with conditional neighborhood aggregation for multi-gigapixel histopathology image representation
R Nakhli, A Zhang, A Mirabadi, K Rich, M Asadi, B Gilks, H Farahani, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Skeleton-based human action recognition-a learning method based on active joints
AKN Tehrani, MA Aghbolaghi, S Kasaei
International Conference on Computer Vision Theory and Applications 6, 303-310, 2017
A novel H&E color augmentation for domain invariance classification of unannotated histopathology prostate cancer images
R Bazargani, W Chen, S Sadeghian, M Asadi, J Boschman, ...
Medical Imaging 2023: Digital and Computational Pathology 12471, 224-229, 2023
View invariant human action recognition using fourier-based and radon-based point cloud analysis
M Asadi-Aghbolaghi, S Kasaei
7'th International Symposium on Telecommunications (IST'2014), 66-71, 2014
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