Hossein Hajimirsadeghi
Hossein Hajimirsadeghi
PhD, Computer Science, Borealis AI
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Zitiert von
Zitiert von
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
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
A hybrid IWO/PSO algorithm for fast and global optimization
H Hajimirsadeghi, C Lucas
Ieee Eurocon 2009, 1964-1971, 2009
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
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, 49-69, 2014
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
SRI-Sarnoff AURORA system at TRECVID 2012: Multimedia event detection and recounting
H Cheng, J Liu, S Ali, O Javed, Q Yu
Context-aware feature embedding and anomaly detection of sequential log data using deep recurrent neural networks
H Hajimirsadeghi, GT Zhou, A Brownsword, N Agarwal, P Chandrashekar, ...
US Patent 11,218,498, 2022
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
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
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
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
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
Graph generation with variational recurrent neural network
SY Su, H Hajimirsadeghi, G Mori
arXiv preprint arXiv:1910.01743, 2019
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
Multiple instance real boosting with aggregation functions
H Hajimirsadeghi, G Mori
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
Malicious activity detection by cross-trace analysis and deep learning
JF Peinador, MF Gomez, GT Zhou, H Hajimirsadeghi, A Brownsword, ...
US Patent 11,082,438, 2021
Variational selective autoencoder: Learning from partially-observed heterogeneous data
Y Gong, H Hajimirsadeghi, J He, T Durand, G Mori
International Conference on Artificial Intelligence and Statistics, 2377-2385, 2021
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
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
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