| Fisher tensors for classifying human epithelial cells M Faraki, MT Harandi, A Wiliem, BC Lovell Pattern Recognition 47 (7), 2348-2359, 2014 | 71 | 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 | 51 | 2015 |
| Log-Euclidean bag of words for human action recognition M Faraki, M Palhang, C Sanderson IET Computer Vision 9 (3), 331-339, 2014 | 41 | 2014 |
| Learning factorized representations for open-set domain adaptation M Baktashmotlagh, M Faraki, T Drummond, M Salzmann ICLR, 2019 | 28 | 2019 |
| 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 | 27 | 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 | 26 | 2016 |
| 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 | 18 | 2015 |
| No fuss metric learning, a Hilbert space scenario M Faraki, MT Harandi, F Porikli Pattern Recognition Letters 98, 83-89, 2017 | 10 | 2017 |
| 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 | 9 | 2017 |
| 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 | 4 | 2018 |
| Bag of riemannian words for virus classification M Faraki, M Harandi Case Studies in Intelligent Computing: Achievements and Trends, 271-284, 2014 | 2 | 2014 |
| Survey of Intelligent Computing K Mathew, B Issac Case Studies in Intelligent Computing: Achievements and Trends, 1, 2014 | 1 | 2014 |
| 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 | | 2020 |
| The Role of Riemannian Manifolds in Computer Vision: From Coding to Deep Metric Learning M Faraki PQDT-Global, 2018 | | 2018 |
| بازشناسی برخط حروف فارسی بر پایه مدل مخفی مارکوف مسعود فرکی, مسعود, پالهنگ, مازیار مجله مهندسی برق دانشگاه تبریز 40 (1), 23-34, 2010 | | 2010 |
| WHEN METRIC LEARNING GOES HAND IN HAND WITH DIMENSIONALITY REDUCTION M Faraki, MT Harandi, F Porikli Dimension 64 (128), 256, 0 | | |
| More About VLAD: A Leap from Euclidean to Riemannian Manifolds Supplementary Material M Faraki, MT Harandi, F Porikli | | |
Mehrtash HarandiMonash UniversityVerified email at monash.edu
