| A model of the superior colliculus predicts fixation locations during scene viewing and visual search H Adeli, F Vitu, GJ Zelinsky Journal of Neuroscience 37 (6), 1453-1467, 2017 | 104 | 2017 |
| Modelling eye movements in a categorical search task GJ Zelinsky, H Adeli, Y Peng, D Samaras Philosophical Transactions of the Royal Society B: Biological Sciences 368 …, 2013 | 102 | 2013 |
| Path planning for mobile robots using iterative artificial potential field method H Adeli, MHN Tabrizi, A Mazloomian, E Hajipour, M Jahed International Journal of Computer Science Issues (IJCSI) 8 (4), 28, 2011 | 64 | 2011 |
| Benchmarking gaze prediction for categorical visual search G Zelinsky, Z Yang, L Huang, Y Chen, S Ahn, Z Wei, H Adeli, D Samaras, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 62 | 2019 |
| Deep-BCN: Deep networks meet biased competition to create a brain-inspired model of attention control H Adeli, G Zelinsky Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 34 | 2018 |
| Changing perspectives on goal-directed attention control: The past, present, and future of modeling fixations during visual search GJ Zelinsky, Y Chen, S Ahn, H Adeli Psychology of learning and motivation 73, 231-286, 2020 | 33 | 2020 |
| Predicting goal-directed attention control using inverse-reinforcement learning GJ Zelinsky, Y Chen, S Ahn, H Adeli, Z Yang, L Huang, D Samaras, ... Neurons, behavior, data analysis and theory 2021, 10.51628/001c. 22322, 2021 | 32 | 2021 |
| Online optimal neuro-fuzzy flux controller for DTC based induction motor drives N Sadati, S Kaboli, H Adeli, E Hajipour, M Ferdowsi 2009 Twenty-Fourth Annual IEEE Applied Power Electronics Conference and …, 2009 | 25 | 2009 |
| Learned Region Sparsity and Diversity Also Predicts Visual Attention Z Wei*, H Adeli*, MH Nguyen, G Zelinsky, D Samaras, ... Advances in Neural Information Processing Systems 29, 1894-1902, 2016 | 24 | 2016 |
| A brain-inspired object-based attention network for multiobject recognition and visual reasoning H Adeli, S Ahn, GJ Zelinsky Journal of Vision 23 (5), 16-16, 2023 | 21* | 2023 |
| Predicting brain activity using Transformers H Adeli, S Minni, N Kriegeskorte bioRxiv, 2023.08. 02.551743, 2023 | 16 | 2023 |
| The magnification factor accounts for the greater hypometria and imprecision of larger saccades: Evidence from a parametric human-behavioral study F Vitu, S Casteau, H Adeli, GJ Zelinsky, E Castet Journal of Vision 17 (4), 2-2, 2017 | 15 | 2017 |
| Affinity-based attention in self-supervised transformers predicts dynamics of object grouping in humans H Adeli, S Ahn, N Kriegeskorte, G Zelinsky arXiv preprint arXiv:2306.00294, 2023 | 7 | 2023 |
| The attentive reconstruction of objects facilitates robust object recognition S Ahn, H Adeli, GJ Zelinsky PLOS Computational Biology 20 (6), e1012159, 2024 | 5* | 2024 |
| Specifying the relationships between objects, gaze, and descriptions for scene understanding K Yun, Y Peng, H Adeli, T Berg, D Samaras, G Zelinsky VSS 2013 poster, 2013 | 5 | 2013 |
| Readers move their eyes mindlessly using midbrain visuo-motor principles F Vitu, H Adeli, GJ Zelinsky BioRxiv, 2021.10. 21.465242, 2021 | 4* | 2021 |
| Learning to attend in a brain-inspired deep neural network GJ Zelinsky, H Adeli Journal of Vision 19 (10), 282d-282d, 2019 | 4 | 2019 |
| Transformer brain encoders explain human high-level visual responses H Adeli, M Sun, N Kriegeskorte NeurIPS 2025 Spotlight, 2025 | 3 | 2025 |
| Learning to attend in a brain-inspired deep neural network H Adeli, G Zelinsky Proceedings of 2018 Conference on Cognitive Computational Neuroscience, 2018 | 3 | 2018 |
| Automatic multi-label categorization of news feeds M Darabi, H Adeli, N Tabrizi Proceedings of the International Conference on Data Science (ICDATA), 1, 2012 | 2 | 2012 |