Follow
Mehrtash Harandi
Mehrtash Harandi
Department of Electrical and Computer Systems Engineering, Monash University
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
Going deeper into action recognition: A survey
S Herath, M Harandi, F Porikli
Image and vision computing 60, 4-21, 2017
7722017
Unsupervised domain adaptation by domain invariant projection
M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann
Proceedings of the IEEE international conference on computer vision, 769-776, 2013
5412013
Adaptive subspaces for few-shot learning
C Simon, P Koniusz, R Nock, M Harandi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
4622020
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching
MT Harandi, C Sanderson, S Shirazi, BC Lovell
CVPR 2011, 2705-2712, 2011
3632011
Kernel methods on the Riemannian manifold of symmetric positive definite matrices
S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi
proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
3512013
Hierarchical neural architecture search for deep stereo matching
X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge
Advances in neural information processing systems 33, 22158-22169, 2020
3412020
Kernel methods on Riemannian manifolds with Gaussian RBF kernels
S Jayasumana, R Hartley, M Salzmann, H Li, M Harandi
IEEE transactions on pattern analysis and machine intelligence 37 (12), 2464 …, 2015
2672015
Sparse coding and dictionary learning for symmetric positive definite matrices: A kernel approach
MT Harandi, C Sanderson, R Hartley, BC Lovell
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
2472012
From manifold to manifold: Geometry-aware dimensionality reduction for SPD matrices
MT Harandi, M Salzmann, R Hartley
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
2352014
Dimensionality reduction on SPD manifolds: The emergence of geometry-aware methods
M Harandi, M Salzmann, R Hartley
IEEE transactions on pattern analysis and machine intelligence 40 (1), 48-62, 2017
2232017
Spatio-temporal covariance descriptors for action and gesture recognition
A Sanin, C Sanderson, MT Harandi, BC Lovell
2013 IEEE Workshop on applications of Computer Vision (WACV), 103-110, 2013
2202013
Deep unsupervised saliency detection: A multiple noisy labeling perspective
J Zhang, T Zhang, Y Dai, M Harandi, R Hartley
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1942018
Semantic-aware knowledge distillation for few-shot class-incremental learning
A Cheraghian, S Rahman, P Fang, SK Roy, L Petersson, M Harandi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1822021
Dictionary learning and sparse coding on Grassmann manifolds: An extrinsic solution
M Harandi, C Sanderson, C Shen, BC Lovell
Proceedings of the IEEE international conference on computer vision, 3120-3127, 2013
1742013
Bilinear attention networks for person retrieval
P Fang, J Zhou, SK Roy, L Petersson, M Harandi
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1692019
A robust volumetric transformer for accurate 3D tumor segmentation
H Peiris, M Hayat, Z Chen, G Egan, M Harandi
International conference on medical image computing and computer-assisted …, 2022
1602022
Domain adaptation on the statistical manifold
M Baktashmotlagh, MT Harandi, BC Lovell, M Salzmann
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1492014
Learning an invariant hilbert space for domain adaptation
S Herath, M Harandi, F Porikli
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1432017
Bregman divergences for infinite dimensional covariance matrices
M Harandi, M Salzmann, F Porikli
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1282014
Distribution-matching embedding for visual domain adaptation
M Baktashmotlagh, M Har, M Salzmann
Journal of Machine Learning Research 17 (108), 1-30, 2016
1202016
The system can't perform the operation now. Try again later.
Articles 1–20