20 citations · 52 across the 20 of their papers we have counts for
3 papers · 1 filter
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
Hossein Adeli, Seoyoung Ahn, Nikolaus Kriegeskorte +1
The spreading of attention has been proposed as a mechanism for how humans group features to segment objects. However, such a mechanism has not yet been implemented and tested in n…
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
Sounak Mondal, Zhibo Yang, Seoyoung Ahn +3
Predicting human gaze is important in Human-Computer Interaction (HCI). However, to practically serve HCI applications, gaze prediction models must be scalable, fast, and accurate…
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
Zhibo Yang, Sounak Mondal, Seoyoung Ahn +4
Most models of visual attention aim at predicting either top-down or bottom-up control, as studied using different visual search and free-viewing tasks. In this paper we propose th…