Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations MA Pedziwiatr, M Kümmerer, TSA Wallis, M Bethge, C Teufel Cognition 206, 104465, 2021 | 24 | 2021 |
There is no evidence that meaning maps capture semantic information relevant to gaze guidance: Reply to Henderson, Hayes, Peacock, and Rehrig (2021) MA Pedziwiatr, M Kümmerer, TSA Wallis, M Bethge, C Teufel Cognition 214, 104741, 2021 | 10 | 2021 |
Meaning maps and deep neural networks are insensitive to meaning when predicting human fixations MA Pedziwiatr, TSA Wallis, M Kümmerer, C Teufel Journal of Vision 19 (10), 253c-253c, 2019 | 4 | 2019 |
Knowledge-driven perceptual organization reshapes information sampling via eye movements. MA Pedziwiatr, E Von dem Hagen, C Teufel Journal of Experimental Psychology: Human Perception and Performance 49 (3), 408, 2023 | 3 | 2023 |
Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps MA Pedziwiatr, M Kümmerer, TSA Wallis, M Bethge, C Teufel Journal of Vision 22 (2), 2022 | 3 | 2022 |
Prior knowledge about events depicted in scenes decreases oculomotor exploration MA Pedziwiatr, S Heer, A Coutrot, P Bex, I Mareschal Cognition 238, 105544, 2023 | 1 | 2023 |
Influence of prior knowledge on eye movements to scenes as revealed by hidden Markov models MA Pedziwiatr, S Heer, A Coutrot, PJ Bex, I Mareschal Journal of Vision 23 (10), 10-10, 2023 | | 2023 |