A survey of recent advances in visual feature detection

Y Li, S Wang, Q Tian, X Ding - Neurocomputing, 2015 - Elsevier
Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …

Predicting visual fixations

M Kümmerer, M Bethge - Annual Review of Vision Science, 2023 - annualreviews.org
As we navigate and behave in the world, we are constantly deciding, a few times per
second, where to look next. The outcomes of these decisions in response to visual input are …

Deep visual attention prediction

W Wang, J Shen - IEEE Transactions on Image Processing, 2017 - ieeexplore.ieee.org
In this paper, we aim to predict human eye fixation with view-free scenes based on an end-to-
end deep learning architecture. Although convolutional neural networks (CNNs) have made …

Predicting human eye fixations via an lstm-based saliency attentive model

M Cornia, L Baraldi, G Serra… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …

Saliency in VR: How do people explore virtual environments?

V Sitzmann, A Serrano, A Pavel… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, developing new compression …

Salgan: Visual saliency prediction with generative adversarial networks

J Pan, CC Ferrer, K McGuinness, NE O'Connor… - arXiv preprint arXiv …, 2017 - arxiv.org
We introduce SalGAN, a deep convolutional neural network for visual saliency prediction
trained with adversarial examples. The first stage of the network consists of a generator …

What do different evaluation metrics tell us about saliency models?

Z Bylinskii, T Judd, A Oliva, A Torralba… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …

Deepfix: A fully convolutional neural network for predicting human eye fixations

SSS Kruthiventi, K Ayush… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Understanding and predicting the human visual attention mechanism is an active area of
research in the fields of neuroscience and computer vision. In this paper, we propose …

A deep multi-level network for saliency prediction

M Cornia, L Baraldi, G Serra… - 2016 23rd International …, 2016 - ieeexplore.ieee.org
This paper presents a novel deep architecture for saliency prediction. Current state of the art
models for saliency prediction employ Fully Convolutional networks that perform a non …

Left gaze bias between LHT and RHT: a recommendation strategy to mitigate human errors in left-and right-hand driving

J Xu, K Guo, X Zhang, PZH Sun - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation,
can either cause road accidents or reduce driving performance in daily driving tasks …