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Review of eye tracking metrics involved in emotional and cognitive processes
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 …
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
Object detection, including objectness detection (OD), salient object detection (SOD), and
category-specific object detection (COD), is one of the most fundamental yet challenging …
category-specific object detection (COD), is one of the most fundamental yet challenging …
Simultaneously localize, segment and rank the camouflaged objects
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 …
camouflage include background matching, imitating the color and pattern of the …
Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis
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 …
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
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 …
increasing amount of research attention over the years. Recent advances in SOD are …
Cascade r-cnn: Delving into high quality object detection
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 …
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
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 …
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
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 …
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
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 …
However, most prior research has focused on large desktop displays using specialized eye …
Deep visual attention prediction
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 …
end deep learning architecture. Although convolutional neural networks (CNNs) have made …