Predicting goal-directed human attention using inverse reinforcement learning
Human gaze behavior prediction is important for behavioral vision and for computer vision
applications. Most models mainly focus on predicting free-viewing behavior using saliency …
applications. Most models mainly focus on predicting free-viewing behavior using saliency …
Towards predicting reading comprehension from gaze behavior
As readers of a language, we all agree to move our eyes in roughly the same way. Yet might
there be hidden within this self-similar behavior subtle clues as to how a reader is …
there be hidden within this self-similar behavior subtle clues as to how a reader is …
Benchmarking gaze prediction for categorical visual search
Movements of human attention during free viewing have received wide interest in the
computer vision community. However, search behavior, where the fixation scanpaths are …
computer vision community. However, search behavior, where the fixation scanpaths are …
Reading detection in real-time
Observable reading behavior, the act of moving the eyes over lines of text, is highly
stereotyped among the users of a language, and this has led to the development of reading …
stereotyped among the users of a language, and this has led to the development of reading …
Deep-BCN: Deep networks meet biased competition to create a brain-inspired model of attention control
H Adeli, G Zelinsky - … of the IEEE conference on computer …, 2018 - openaccess.thecvf.com
The mechanism of attention control is best described by biased-competition theory (BCT),
which suggests that a top-down goal state biases a competition among object …
which suggests that a top-down goal state biases a competition among object …
BiasedWalk: Biased sampling for representation learning on graphs
D Nguyen, FD Malliaros - … Conference on Big Data (Big Data), 2018 - ieeexplore.ieee.org
Network embedding algorithms are able to learn latent feature representations of nodes,
transforming networks into lower dimensional vector representations. Typical key …
transforming networks into lower dimensional vector representations. Typical key …
Changing perspectives on goal-directed attention control: The past, present, and future of modeling fixations during visual search
People make eye movements while interacting with objects, and these behaviors are rich
with information about how visual goals are represented in the brain and used to prioritize …
with information about how visual goals are represented in the brain and used to prioritize …
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues
In a busy city street, a pedestrian surrounded by distractions can pick out a single sign if it is
relevant to their route. Artificial agents in outdoor Vision-and-Language Navigation (VLN) …
relevant to their route. Artificial agents in outdoor Vision-and-Language Navigation (VLN) …
Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty
The factors determining how attention is allocated during visual tasks have been studied for
decades, but few studies have attempted to model the weighting of several of these factors …
decades, but few studies have attempted to model the weighting of several of these factors …
GazeSearch: Radiology Findings Search Benchmark
Medical eye-tracking data is an important information source for understanding how
radiologists visually interpret medical images. This information not only improves the …
radiologists visually interpret medical images. This information not only improves the …