Mahsa Baktashmotlagh
TitleCited byYear
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
2522013
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
672014
Beyond gauss: Image-set matching on the riemannian manifold of pdfs
M Harandi, M Salzmann, M Baktashmotlagh
Proceedings of the IEEE International Conference on Computer Vision, 4112-4120, 2015
372015
Distribution-matching embedding for visual domain adaptation
M Baktashmotlagh, M Harandi, M Salzmann
The Journal of Machine Learning Research 17 (1), 3760-3789, 2016
332016
Domain adaptation in computer vision applications
G Csurka
Springer, 2017
312017
R1SVM: a Randomised Nonlinear Approach to Large-Scale Anomaly Detection
S Erfani, M Baktashmotlagh, S Rajasegarar, S Karunasekera, C Leckie
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
242015
Discriminative non-linear stationary subspace analysis for video classification
M Baktashmotlagh, M Harandi, BC Lovell, M Salzmann
IEEE transactions on pattern analysis and machine intelligence 36 (12), 2353 …, 2014
242014
Directional space-time oriented gradients for 3d visual pattern analysis
E Norouznezhad, MT Harandi, A Bigdeli, M Baktash, A Postula, BC Lovell
European Conference on Computer Vision, 736-749, 2012
192012
Robust domain generalisation by enforcing distribution invariance
S Erfani, M Baktashmotlagh, M Moshtaghi, V Nguyen, C Leckie, J Bailey, ...
Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016
122016
R1STM: One-class support tensor machine with randomised kernel
SM Erfani, M Baktashmotlagh, S Rajasegarad, V Nguyen, C Leckie, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 198-206, 2016
92016
Non-linear stationary subspace analysis with application to video classification
M Baktashmotlagh, M Harandi, A Bigdeli, B Lovell, M Salzmann
International Conference on Machine Learning, 450-458, 2013
82013
Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs
M Baktashmotlagh, A Bigdeli, BC Lovell
2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011
72011
Learning factorized representations for open-set domain adaptation
M Baktashmotlagh, M Faraki, T Drummond, M Salzmann
arXiv preprint arXiv:1805.12277, 2018
52018
Deep discovery of facial motions using a shallow embedding layer
A Ghasemi, M Baktashmotlagh, S Denman, S Sridharan, DN Tien, ...
2017 IEEE International Conference on Image Processing (ICIP), 1567-1571, 2017
42017
Linking numerical scores with sentiment analysis of students' teaching and subject evaluation surveys: Pointers to teaching enhancements
S Cunningham-Nelson, M Baktashmotlagh, W Boles
27th Annual Conference of the Australasian Association for Engineering …, 2016
42016
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference
M Michalkiewicz, JK Pontes, D Jack, M Baktashmotlagh, A Eriksson
arXiv preprint arXiv:1901.06802, 2019
32019
On Minimum Discrepancy Estimation for Deep Domain Adaptation
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
arXiv preprint arXiv:1901.00282, 2019
32019
On Encoding Temporal Evolution for Real-time Action Prediction
F Rezazadegan, S Shirazi, M Baktashmotlagh, LS Davis
arXiv preprint arXiv:1709.07894, 2017
32017
From shared subspaces to shared landmarks: A robust multi-source classification approach
SM Erfani, M Baktashmotlagh, M Moshtaghi, V Nguyen, C Leckie, J Bailey, ...
Thirty-First AAAI Conference on Artificial Intelligence, 2017
32017
Multi-component Image Translation for Deep Domain Generalization
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 579-588, 2019
22019
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Articles 1–20