Hossein Hajimirsadeghi
Hossein Hajimirsadeghi
PhD, Computer Science, Simon Fraser University
Verified email at sfu.ca - Homepage
Title
Cited by
Cited by
Year
Multiobjective invasive weed optimization: Application to analysis of Pareto improvement models in electricity markets
AH Nikoofard, H Hajimirsadeghi, A Rahimi-Kian, C Lucas
Applied Soft Computing 12 (1), 100-112, 2012
722012
Visual recognition by counting instances: A multi-instance cardinality potential kernel
H Hajimirsadeghi, W Yan, A Vahdat, G Mori
Proceedings of the IEEE conference on computer vision and pattern …, 2015
702015
A hybrid IWO/PSO algorithm for fast and global optimization
H Hajimirsadeghi, C Lucas
IEEE EUROCON 2009, 1964-1971, 2009
662009
Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs
MR Ghalenoei, H Hajimirsadeghi, C Lucas
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009
572009
Multimedia event detection with multimodal feature fusion and temporal concept localization
S Oh, S McCloskey, I Kim, A Vahdat, KJ Cannons, H Hajimirsadeghi, ...
Machine vision and applications 25 (1), 49-69, 2014
552014
TRECVID 2012 GENIE: Multimedia event detection and recounting
AGA Perera, S Oh, P Megha, T Ma, A Hoogs, A Vahdat, K Cannons, ...
In TRECVID Workshop, 2012
382012
Multiple instance learning by discriminative training of markov networks
H Hajimirsadeghi, J Li, G Mori, M Zaki, T Sayed
arXiv preprint arXiv:1309.6833, 2013
242013
Discovering human interactions in videos with limited data labeling
M Khodabandeh, A Vahdat, GT Zhou, H Hajimirsadeghi, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
192015
Cooperative coevolutionary invasive weed optimization and its application to Nash equilibrium search in electricity markets
H Hajimirsadeghi, A Ghazanfari, A Rahimi-Kian, C Lucas
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009
142009
Learning ensembles of potential functions for structured prediction with latent variables
H Hajimirsadeghi, G Mori
Proceedings of the IEEE international conference on computer vision, 4059-4067, 2015
132015
Multiple instance real boosting with aggregation functions
H Hajimirsadeghi, G Mori
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
132012
Multi-instance classification by max-margin training of cardinality-based markov networks
H Hajimirsadeghi, G Mori
IEEE transactions on pattern analysis and machine intelligence 39 (9), 1839-1852, 2016
122016
Learning to detect blue–white structures in dermoscopy images with weak supervision
A Madooei, MS Drew, H Hajimirsadeghi
IEEE journal of biomedical and health informatics 23 (2), 779-786, 2018
112018
Conceptual imitation learning based on perceptual and functional characteristics of action
H Hajimirsadeghi, MN Ahmadabadi, BN Araabi
IEEE Transactions on Autonomous Mental Development 5 (4), 311-325, 2013
92013
Conceptual imitation learning: An application to human-robot interaction
H Hajimirsadeghi, MN Ahmadabadi, M Ajallooeian, B Araabi, H Moradi
Proceedings of 2nd Asian Conference on Machine Learning, 331-346, 2010
92010
Adapting Grad-CAM for embedding networks
L Chen, J Chen, H Hajimirsadeghi, G Mori
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
62020
Computer vision techniques to collect helmet-wearing data on cyclists
J Li, H Hajimirsadeghi, MH Zaki, G Mori, T Sayed
Transportation Research Record 2468 (1), 1-10, 2014
62014
Conceptual imitation learning in a human-robot interaction paradigm
H Hajimirsadeghi, MN Ahmadabadi, BN Araabi, H Moradi
ACM Transactions on Intelligent Systems and Technology (TIST) 3 (2), 1-25, 2012
62012
Variational selective autoencoder
Y Gong, H Hajimirsadeghi, J He, M Nawhal, T Durand, G Mori
Symposium on Advances in Approximate Bayesian Inference, 1-17, 2020
42020
Graph generation with variational recurrent neural network
SY Su, H Hajimirsadeghi, G Mori
arXiv preprint arXiv:1910.01743, 2019
42019
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Articles 1–20