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Mahsa Baktashmotlagh
Mahsa Baktashmotlagh
Verified email at uq.edu.au
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
5522013
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
2882019
Learning to diversify for single domain generalization
Z Wang, Y Luo, R Qiu, Z Huang, M Baktashmotlagh
Proceedings of the IEEE/CVF International Conference on Computer Vision, 834-843, 2021
2612021
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
1512014
Correlation-aware adversarial domain adaptation and generalization
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Pattern Recognition 100, 107124, 2020
1462020
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
1412019
Distribution-matching embedding for visual domain adaptation
M Baktashmotlagh, M Har, M Salzmann
Journal of Machine Learning Research 17 (108), 1-30, 2016
1242016
Progressive Graph Learning for Open-Set Domain Adaptation
Y Luo, Z Wang, Z Huang, M Baktashmotlagh
37th International Conference on Machine Learning, 2020
1162020
On minimum discrepancy estimation for deep domain adaptation
MM Rahman, C Fookes, M Baktashmotlagh, S Sridharan
Domain Adaptation for Visual Understanding, 81-94, 2020
842020
Visualizing student opinion through text analysis
S Cunningham-Nelson, M Baktashmotlagh, W Boles
IEEE Transactions on Education 62 (4), 305-311, 2019
822019
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
792019
Learning factorized representations for open-set domain adaptation
M Baktashmotlagh, M Faraki, T Drummond, M Salzmann
ICLR, 2019
682019
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
642015
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
592016
Adversarial bipartite graph learning for video domain adaptation
Y Luo, Z Huang, Z Wang, Z Zhang, M Baktashmotlagh
Proceedings of the 28th ACM International Conference on Multimedia, 19-27, 2020
522020
Robust re-identification of manta rays from natural markings by learning pose invariant embeddings
O Moskvyak, F Maire, F Dayoub, AO Armstrong, M Baktashmotlagh
2021 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2021
492021
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
462015
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
442014
Closing the gap of simulation to reality in electromagnetic imaging of brain strokes via deep neural networks
A Al-Saffar, A Bialkowski, M Baktashmotlagh, A Trakic, L Guo, A Abbosh
IEEE Transactions on Computational Imaging 7, 13-21, 2020
392020
Prototype-matching graph network for heterogeneous domain adaptation
Z Wang, Y Luo, Z Huang, M Baktashmotlagh
Proceedings of the 28th ACM International Conference on Multimedia, 2104-2112, 2020
332020
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