Munawar Hayat
Title
Cited by
Cited by
Year
Cost-sensitive learning of deep feature representations from imbalanced data
SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri
IEEE transactions on neural networks and learning systems 29 (8), 3573-3587, 2017
3782017
Deep reconstruction models for image set classification
M Hayat, M Bennamoun, S An
IEEE transactions on pattern analysis and machine intelligence 37 (4), 713-727, 2014
1602014
An efficient 3D face recognition approach using local geometrical signatures
Y Lei, M Bennamoun, M Hayat, Y Guo
Pattern Recognition 47 (2), 509-524, 2014
1162014
Finding task-relevant features for few-shot learning by category traversal
H Li, D Eigen, S Dodge, M Zeiler, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
862019
Learning Non-Linear Reconstruction Models for Image Set Classification
M Hayat, M Bennamoun, S An
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
842014
A two-phase weighted collaborative representation for 3D partial face recognition with single sample
Y Lei, Y Guo, M Hayat, M Bennamoun, X Zhou
Pattern Recognition 52, 218-237, 2016
632016
A discriminative representation of convolutional features for indoor scene recognition
SH Khan, M Hayat, M Bennamoun, R Togneri, FA Sohel
IEEE Transactions on Image Processing 25 (7), 3372-3383, 2016
622016
A spatial layout and scale invariant feature representation for indoor scene classification
M Hayat, SH Khan, M Bennamoun, S An
IEEE Transactions on Image Processing 25 (10), 4829-4841, 2016
482016
Striking the right balance with uncertainty
S Khan, M Hayat, SW Zamir, J Shen, L Shao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
442019
An automatic framework for textured 3D video-based facial expression recognition
M Hayat, M Bennamoun
IEEE Transactions on Affective Computing 5 (3), 301-313, 2014
442014
Regularization of deep neural networks with spectral dropout
SH Khan, M Hayat, F Porikli
Neural Networks 110, 82-90, 2019
422019
Adversarial defense by restricting the hidden space of deep neural networks
A Mustafa, S Khan, M Hayat, R Goecke, J Shen, L Shao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
402019
Image super-resolution as a defense against adversarial attacks
A Mustafa, SH Khan, M Hayat, J Shen, L Shao
IEEE Transactions on Image Processing 29, 1711-1724, 2019
352019
An RGB–D based image set classification for robust face recognition from Kinect data
M Hayat, M Bennamoun, AA El-Sallam
Neurocomputing 171, 889-900, 2016
342016
Reverse training: An efficient approach for image set classification
M Hayat, M Bennamoun, S An
European conference on computer vision, 784-799, 2014
302014
Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017
T Dang, B Stasak, Z Huang, S Jayawardena, M Atcheson, M Hayat, P Le, ...
Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, 27-35, 2017
292017
Joint Registration and Representation Learning for Unconstrained Face Identification
M Hayat, SH Khan, N Werghi, R Goecke
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
292017
Empowering simple binary classifiers for image set based face recognition
M Hayat, SH Khan, M Bennamoun
International Journal of Computer Vision 123 (3), 479-498, 2017
252017
Scene categorization with spectral features
SH Khan, M Hayat, F Porikli
Proceedings of the IEEE international conference on computer vision, 5638-5648, 2017
212017
Gaussian affinity for max-margin class imbalanced learning
M Hayat, S Khan, SW Zamir, J Shen, L Shao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
192019
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Articles 1–20