Review of eye tracking metrics involved in emotional and cognitive processes

V Skaramagkas, G Giannakakis… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …

Advanced deep-learning techniques for salient and category-specific object detection: a survey

J Han, D Zhang, G Cheng, N Liu… - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
Object detection, including objectness detection (OD), salient object detection (SOD), and
category-specific object detection (COD), is one of the most fundamental yet challenging …

Simultaneously localize, segment and rank the camouflaged objects

Y Lv, J Zhang, Y Dai, A Li, B Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Camouflage is a key defence mechanism across species that is critical to survival. Common
camouflage include background matching, imitating the color and pattern of the …

Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis

J Kang, H Du, Z Li, Z **ong, S Ma… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Semantic communication, as a promising technology, has emerged to break through the
Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future …

Salient object detection in the deep learning era: An in-depth survey

W Wang, Q Lai, H Fu, J Shen, H Ling… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …

Cascade r-cnn: Delving into high quality object detection

Z Cai, N Vasconcelos - … of the IEEE conference on computer …, 2018 - openaccess.thecvf.com
In object detection, an intersection over union (IoU) threshold is required to define positives
and negatives. An object detector, trained with low IoU threshold, eg 0.5, usually produces …

Joint hand motion and interaction hotspots prediction from egocentric videos

S Liu, S Tripathi, S Majumdar… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
We propose to forecast future hand-object interactions given an egocentric video. Instead of
predicting action labels or pixels, we directly predict the hand motion trajectory and the …

A review on deep-learning algorithms for fetal ultrasound-image analysis

MC Fiorentino, FP Villani, M Di Cosmo, E Frontoni… - Medical image …, 2023 - Elsevier
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Accelerating eye movement research via accurate and affordable smartphone eye tracking

N Valliappan, N Dai, E Steinberg, J He… - Nature …, 2020 - nature.com
Eye tracking has been widely used for decades in vision research, language and usability.
However, most prior research has focused on large desktop displays using specialized eye …

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 …