| Fisher tensors for classifying human epithelial cells M Faraki, MT Harandi, A Wiliem, BC Lovell Pattern Recognition 47 (7), 2348-2359, 2014 | 79 | 2014 |
| 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 | 58 | 2015 |
| Learning factorized representations for open-set domain adaptation M Baktashmotlagh, M Faraki, T Drummond, M Salzmann ICLR, 2019 | 52 | 2019 |
| Log‐Euclidean bag of words for human action recognition M Faraki, M Palhang, C Sanderson IET Computer Vision 9 (3), 331-339, 2015 | 49 | 2015 |
| 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 | 36 | 2016 |
| 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 | 35 | 2015 |
| 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 | 21 | 2015 |
| 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 | 16 | 2017 |
| No fuss metric learning, a Hilbert space scenario M Faraki, MT Harandi, F Porikli Pattern Recognition Letters 98, 83-89, 2017 | 14 | 2017 |
| 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 | 13 | 2021 |
| 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 | 11 | 2020 |
| 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 | 9 | 2018 |
| 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 | 6 | 2022 |
| 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 | 4 | 2022 |
| 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 | 4 | 2022 |
| Learning semantic segmentation from multiple datasets with label shifts D Kim, YH Tsai, Y Suh, M Faraki, S Garg, M Chandraker, B Han Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| Facial recognition for masked individuals M Chandraker, T Wang, X Xu, F Pittaluga, G Sharma, YH Tsai, M Faraki, ... US Patent App. 17/330,832, 2021 | 2 | 2021 |
| Bag of riemannian words for virus classification M Faraki, M Harandi Case Studies in Intelligent Computing: Achievements and Trends, 271-284, 2014 | 2 | 2014 |
| Domain generalized margin via meta-learning for deep face recognition X Yu, YH Tsai, M Faraki, R Moslemi, M Chandraker, C Liu US Patent App. 17/521,252, 2022 | 1 | 2022 |
| Voting-based approach for differentially private federated learning X Yu, YH Tsai, F Pittaluga, M Faraki, M Chandraker, Y Zhu US Patent App. 17/491,663, 2022 | 1 | 2022 |
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityDirección de correo verificada de monash.edu
