| Predicting goal-directed human attention using inverse reinforcement learning Z Yang, L Huang, Y Chen, Z Wei, S Ahn, G Zelinsky, D Samaras, M Hoai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 92 | 2020 |
| 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 | 44 | 2019 |
| Coco-search18 fixation dataset for predicting goal-directed attention control Y Chen, Z Yang, S Ahn, D Samaras, M Hoai, G Zelinsky Scientific reports 11 (1), 8776, 2021 | 35 | 2021 |
| Towards predicting reading comprehension from gaze behavior S Ahn, C Kelton, A Balasubramanian, G Zelinsky ACM Symposium on Eye Tracking Research and Applications, 1-5, 2020 | 34 | 2020 |
| Reading detection in real-time C Kelton, Z Wei, S Ahn, A Balasubramanian, SR Das, D Samaras, ... Proceedings of the 11th ACM Symposium on Eye Tracking Research …, 2019 | 25 | 2019 |
| 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, 2021 | 19 | 2021 |
| Gazeformer: Scalable, effective and fast prediction of goal-directed human attention S Mondal, Z Yang, S Ahn, D Samaras, G Zelinsky, M Hoai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| 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 | 17 | 2020 |
| Target-absent human attention Z Yang, S Mondal, S Ahn, G Zelinsky, M Hoai, D Samaras European Conference on Computer Vision, 52-68, 2022 | 13 | 2022 |
| Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks S Ahn, GJ Zelinsky, G Lupyan Journal of Vision 21 (13), 13-13, 2021 | 13 | 2021 |
| Predicting visual attention in graphic design documents S Chakraborty, Z Wei, C Kelton, S Ahn, A Balasubramanian, GJ Zelinsky, ... IEEE Transactions on Multimedia 25, 4478-4493, 2022 | 9 | 2022 |
| Characterizing target-absent human attention Y Chen, Z Yang, S Chakraborty, S Mondal, S Ahn, D Samaras, M Hoai, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| A brain-inspired object-based attention network for multi-object recognition and visual reasoning H Adeli, S Ahn, GJ Zelinsky bioRxiv, 2022.04. 02.486850, 2022 | 6 | 2022 |
| SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks P Prasse, DR Reich, S Makowski, S Ahn, T Scheffer, LA Jäger Proceedings of the 2023 symposium on eye tracking research and applications, 1-9, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| Recurrent attention models with object-centric capsule representation for multi-object recognition H Adeli, S Ahn, G Zelinsky arXiv preprint arXiv:2110.04954, 2021 | 3 | 2021 |
| Predicting human attention using computational attention Z Yang, S Mondal, S Ahn, G Zelinsky, M Hoai, D Samaras arXiv preprint arXiv:2303.09383, 2023 | 2 | 2023 |
| Reconstruction-guided attention improves the robustness and shape processing of neural networks S Ahn, H Adeli, GJ Zelinsky arXiv preprint arXiv:2209.13620, 2022 | 1 | 2022 |
| The attentive reconstruction of objects facilitates robust object recognition S Ahn, H Adeli, GJ Zelinsky PLOS Computational Biology 20 (6), e1012159, 2024 | | 2024 |
Gregory ZelinskyProfessor of Psychology and Computer Science, Stony Brook University在 stonybrook.edu 的电子邮件经过验证
