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Masoud Faraki
Masoud Faraki
NEC
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Title
Cited by
Cited by
Year
Fisher tensors for classifying human epithelial cells
M Faraki, MT Harandi, A Wiliem, BC Lovell
Pattern Recognition 47 (7), 2348-2359, 2014
792014
Learning factorized representations for open-set domain adaptation
M Baktashmotlagh, M Faraki, T Drummond, M Salzmann
ICLR, 2019
652019
More About VLAD: A Leap from Euclidean to Riemannian Manifolds
M Faraki, MT Harandi, F Porikli
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015
612015
Log‐Euclidean bag of words for human action recognition
M Faraki, M Palhang, C Sanderson
IET Computer Vision 9 (3), 331-339, 2015
502015
Image set classification by symmetric positive semi-definite matrices
M Faraki, MT Harandi, F Porikli
2016 IEEE Winter conference on applications of computer vision (WACV), 1-8, 2016
382016
APPROXIMATE INFINITE-DIMENSIONAL REGION COVARIANCE DESCRIPTORS FOR IMAGE CLASSIFICATION
M Faraki, MT Harandi, F Porikli
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
342015
On generalizing beyond domains in cross-domain continual learning
C Simon, M Faraki, YH Tsai, X Yu, S Schulter, Y Suh, M Harandi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
282022
Controllable dynamic multi-task architectures
DS Raychaudhuri, Y Suh, S Schulter, X Yu, M Faraki, AK Roy-Chowdhury, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
262022
Cross-domain similarity learning for face recognition in unseen domains
M Faraki, X Yu, YH Tsai, Y Suh, M Chandraker
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
242021
Material classification on symmetric positive definite manifolds
M Faraki, MT Harandi, F Porikli
2015 IEEE Winter Conference on Applications of Computer Vision, 749-756, 2015
212015
Voting-based approaches for differentially private federated learning
Y Zhu, X Yu, YH Tsai, F Pittaluga, M Faraki, YX Wang
arXiv preprint arXiv:2010.04851, 2020
202020
Large-scale metric learning: A voyage from shallow to deep
M Faraki, MT Harandi, F Porikli
IEEE transactions on neural networks and learning systems 29 (9), 4339-4346, 2017
162017
No fuss metric learning, a Hilbert space scenario
M Faraki, MT Harandi, F Porikli
Pattern Recognition Letters 98, 83-89, 2017
162017
Learning semantic segmentation from multiple datasets with label shifts
D Kim, YH Tsai, Y Suh, M Faraki, S Garg, M Chandraker, B Han
European Conference on Computer Vision, 20-36, 2022
152022
Learning to learn across diverse data biases in deep face recognition
C Liu, X Yu, YH Tsai, M Faraki, R Moslemi, M Chandraker, Y Fu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
152022
A comprehensive look at coding techniques on riemannian manifolds
M Faraki, MT Harandi, F Porikli
IEEE transactions on neural networks and learning systems 29 (11), 5701-5712, 2018
122018
Facial recognition for masked individuals
M Chandraker, T Wang, X Xu, F Pittaluga, G Sharma, YH Tsai, M Faraki, ...
US Patent 11,710,346, 2023
52023
Face-aware person re-identification system
Y Suh, X Yu, YH Tsai, M Faraki, M Chandraker
US Patent App. 17/519,986, 2022
42022
Bag of riemannian words for virus classification
M Faraki, M Harandi
Case Studies in Intelligent Computing: Achievements and Trends, 271-284, 2014
32014
Split to Learn: Gradient Split for Multi-Task Human Image Analysis
W Deng, Y Suh, X Yu, M Faraki, L Zheng, M Chandraker
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
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