13 citations · 14 across the 3 of their papers we have counts for
5 papers · 1 filter
Raising the Ceiling: Better Empirical Fixation Densities for Saliency Benchmarking
Susmit Agrawal, Jannis Hollman, Matthias Kümmerer
Empirical fixation densities, spatial distributions estimated from human eye-tracking data, are foundational to saliency benchmarking. They directly shape benchmark conclusions, le…
Modeling Saliency Dataset Bias
Matthias Kümmerer, Harneet Singh Khanuja, Matthias Bethge
Recent advances in image-based saliency prediction are approaching gold standard performance levels on existing benchmarks. Despite this success, we show that predicting fixations…
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
Humans excel at detecting and segmenting moving objects according to the Gestalt principle of "common fate". Remarkably, previous works have shown that human perception generalizes…
State-of-the-Art in Human Scanpath Prediction
Matthias Kümmerer, Matthias Bethge
The last years have seen a surge in models predicting the scanpaths of fixations made by humans when viewing images. However, the field is lacking a principled comparison of those…
Guiding human gaze with convolutional neural networks
Leon A. Gatys, Matthias Kümmerer, Thomas S. A. Wallis +1
The eye fixation patterns of human observers are a fundamental indicator of the aspects of an image to which humans attend. Thus, manipulating fixation patterns to guide human atte…