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
4002013
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
1062014
Domain adaptation in computer vision applications
G Csurka
Springer International Publishing, 2017
932017
Distribution-matching embedding for visual domain adaptation
M Baktashmotlagh, M Harandi, M Salzmann
Journal of Machine Learning Research 17, Article number: 108 1-30, 2016
742016
Implicit surface representations as layers in neural networks
M Michalkiewicz, JK Pontes, D Jack, M Baktashmotlagh, A Eriksson
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
632019
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
582019
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
532015
Learning factorized representations for open-set domain adaptation
M Baktashmotlagh, M Faraki, T Drummond, M Salzmann
ICLR, 2019
362019
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
332015
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
332014
Correlation-aware adversarial domain adaptation and generalization
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Pattern Recognition 100, 107124, 2020
292020
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
232019
Progressive Graph Learning for Open-Set Domain Adaptation
Y Luo, Z Wang, Z Huang, M Baktashmotlagh
37th International Conference on Machine Learning, 2020
212020
On minimum discrepancy estimation for deep domain adaptation
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Domain Adaptation for Visual Understanding, 81-94, 2020
212020
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
Robust domain generalisation by enforcing distribution invariance
S Erfani, M Baktashmotlagh, M Moshtaghi, X Nguyen, C Leckie, J Bailey, ...
Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016
202016
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
132016
Visualizing student opinion through text analysis
S Cunningham-Nelson, M Baktashmotlagh, W Boles
IEEE Transactions on Education 62 (4), 305-311, 2019
122019
Robust re-identification of manta rays from natural markings by learning pose invariant embeddings
O Moskvyak, F Maire, AO Armstrong, F Dayoub, M Baktashmotlagh
arXiv preprint arXiv:1902.10847, 2019
112019
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
112011
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Articles 1–20