| 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 | 99 | 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 | 77 | 2012 |
| A hybrid IWO/PSO algorithm for fast and global optimization H Hajimirsadeghi, C Lucas Ieee Eurocon 2009, 1964-1971, 2009 | 69 | 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 | 67 | 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 | 62 | 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 | 55 | 2020 |
| SRI-Sarnoff AURORA system at TRECVID 2012: Multimedia event detection and recounting H Cheng, J Liu, S Ali, O Javed, Q Yu | 41 | 2012 |
| 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 | 34 | 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 | 27 | 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 | 23 | 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 | 23 | 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 | 17 | 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 | 17 | 2009 |
| Graph generation with variational recurrent neural network SY Su, H Hajimirsadeghi, G Mori arXiv preprint arXiv:1910.01743, 2019 | 14 | 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 | 14 | 2015 |
| Multiple instance real boosting with aggregation functions H Hajimirsadeghi, G Mori Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 13 | 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 | 12 | 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 | 11 | 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 | 11 | 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 | 10 | 2014 |
