Comparing Object Recognition in Humans and Deep Convolutional Neural Networks—An Eye Tracking Study LE van Dyck, R Kwitt, SJ Denzler, WR Gruber Frontiers in Neuroscience 15, 750639, 2021 | 40 | 2021 |
Predicting engagement in electronic surveillance in romantic relationships KM Hertlein, LE van Dyck Cyberpsychology, Behavior, and Social Networking 23 (9), 604-610, 2020 | 21 | 2020 |
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation LE van Dyck, WR Gruber arXiv preprint arXiv:2007.06294, 2020 | 5 | 2020 |
Guiding visual attention in deep convolutional neural networks based on human eye movements LE van Dyck, SJ Denzler, WR Gruber arXiv preprint arXiv:2206.10587, 2022 | 4 | 2022 |
Modeling biological face recognition with deep convolutional neural networks LE van Dyck, WR Gruber Journal of Cognitive Neuroscience 35 (10), 1521-1537, 2023 | 1 | 2023 |
Unraveling Top-Down and Bottom-Up Processes in Theory of Mind with Layer fMRI LE van Dyck | | 2023 |
Analyzing and Increasing the Similarity of Humans and Deep Convolutional Neural Networks in Object Recognition L van Dyck, S Denzler, W Gruber PERCEPTION 51, 81-81, 2022 | | 2022 |
Spatial Similarities between Human Eye Movements and Deep Convolutional Neural Network Saliency Maps across Time LE Van Dyck, SJ Denzler, CP Schöllkopf, WR Gruber Salzburg Mind-Brain Annual Meeting (SAMBA) 2022, 2022 | | 2022 |