1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition
Hossein Adeli, Seoyoung Ahn, Gregory Zelinsky
The visual system processes a scene using a sequence of selective glimpses, each driven by spatial and object-based attention. These glimpses reflect what is relevant to the ongoin…
cs.CV2020★ 1 cited
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning
Zhibo Yang, Lihan Huang, Yupei Chen +5
Being able to predict human gaze behavior has obvious importance for behavioral vision and for computer vision applications. Most models have mainly focused on predicting free-view…
cs.CV2020
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn +5
Understanding how goal states control behavior is a question ripe for interrogation by new methods from machine learning. These methods require large and labeled datasets to train…