Mahsa Baktashmotlagh
Title
Cited by
Cited by
Year
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
3162013
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
852014
Domain adaptation in computer vision applications
G Csurka
Springer, 2017
572017
Distribution-matching embedding for visual domain adaptation
M Baktashmotlagh, M Harandi, M Salzmann
The Journal of Machine Learning Research 17 (1), 3760-3789, 2016
502016
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
472015
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
362019
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
282014
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
272015
Learning factorized representations for open-set domain adaptation
M Baktashmotlagh, M Faraki, T Drummond, M Salzmann
ICLR, 2019
222019
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
212012
Implicit surface representations as layers in neural networks
M Michalkiewicz, JK Pontes, D Jack, M Baktashmotlagh, A Eriksson
Proceedings of the IEEE International Conference on Computer Vision, 4743-4752, 2019
172019
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
162016
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
122016
On minimum discrepancy estimation for deep domain adaptation
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Domain Adaptation for Visual Understanding, 81-94, 2020
102020
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
82011
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
62019
Correlation-aware adversarial domain adaptation and generalization
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Pattern Recognition 100, 107124, 2020
52020
Visualizing student opinion through text analysis
S Cunningham-Nelson, M Baktashmotlagh, W Boles
IEEE Transactions on Education 62 (4), 305-311, 2019
52019
Linking numerical scores with sentiment analysis of students’ teaching and subject evaluation surveys: Pointers to teaching enhancements
S Cunningham-Nelson, M Baktashmotlagh, W Boles
52016
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