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Emotional Attention: A Study of Image Sentiment and Visual Attention

https://doi.org/10.1109/cvpr.2018.00785

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-3750-4openalex-snapshot

Eye Tracking Methodology: Theory and Practice

inferredcites →https://doi.org/10.1007/978-3-319-10593-2_34openalex-snapshot

Deep Features for Text Spotting

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-46454-1_49openalex-snapshot

Where Should Saliency Models Look Next?

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_50openalex-snapshot

Saliency Detection with Recurrent Fully Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-540-88682-2_40openalex-snapshot

Some Objects Are More Equal Than Others: Measuring and Predicting Importance

inferredcites →https://doi.org/10.1007/978-3-642-04898-2_327openalex-snapshot

Kullback-Leibler Divergence

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_3openalex-snapshot

An Eye Fixation Database for Saliency Detection in Images

inferredcites →https://doi.org/10.1007/bf00130487openalex-snapshot

Color indexing

inferredcites →https://doi.org/10.1016/0022-460x(67)90197-6openalex-snapshot

Signal detection theory and psychophysics

inferredcites →https://doi.org/10.1016/j.sigpro.2012.06.014openalex-snapshot

Learning saliency-based visual attention: A review

inferredcites →https://doi.org/10.1016/j.tics.2005.04.010openalex-snapshot

Capacity limits of information processing in the brain

inferredcites →https://doi.org/10.1016/j.tics.2005.10.011openalex-snapshot

How brains beware: neural mechanisms of emotional attention

inferredcites →https://doi.org/10.1016/j.visres.2004.09.017openalex-snapshot

Visual correlates of fixation selection: effects of scale and time

inferredcites →https://doi.org/10.1016/j.visres.2005.03.019openalex-snapshot

Components of bottom-up gaze allocation in natural images

inferredcites →https://doi.org/10.1016/j.visres.2006.02.024openalex-snapshot

High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis

inferredcites →https://doi.org/10.1016/j.visres.2007.06.015openalex-snapshot

Predicting visual fixations on video based on low-level visual features

inferredcites →https://doi.org/10.1016/j.visres.2014.11.005openalex-snapshot

Recent developments in a computational theory of visual attention (TVA)

inferredcites →https://doi.org/10.1017/cbo9780511611483openalex-snapshot

Design of Comparative Experiments

inferredcites →https://doi.org/10.1023/a:1026543900054openalex-snapshot

The Earth Mover's Distance as a Metric for Image Retrieval

inferredcites →https://doi.org/10.1023/b:moem.0000040153.26156.edopenalex-snapshot

Gaze Patterns When Looking at Emotional Pictures: Motivationally Biased Attention

inferredcites →https://doi.org/10.1037//0096-3445.130.3.466openalex-snapshot

Emotion drives attention: Detecting the snake in the grass.

inferredcites →https://doi.org/10.1073/pnas.1510393112openalex-snapshot

Information-theoretic model comparison unifies saliency metrics

inferredcites →https://doi.org/10.1080/02699930902975754openalex-snapshot

The perception and categorisation of emotional stimuli: A review

inferredcites →https://doi.org/10.1080/1068316x.2011.599325openalex-snapshot

Of guns and geese: a meta-analytic review of the ‘weapon focus’ literature

inferredcites →https://doi.org/10.1108/13522750710740862openalex-snapshot

Eye Tracking Methodology; Theory and Practice

inferredcites →https://doi.org/10.1109/34.730558openalex-snapshot

A model of saliency-based visual attention for rapid scene analysis

inferredcites →https://doi.org/10.1109/cvpr.2013.152openalex-snapshot

Learning Video Saliency from Human Gaze Using Candidate Selection

inferredcites →https://doi.org/10.1109/cvpr.2014.358openalex-snapshot

Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images

inferredcites →https://doi.org/10.1109/cvpr.2015.7298710openalex-snapshot

SALICON: Saliency in Context

inferredcites →https://doi.org/10.1109/cvpr.2015.7298938openalex-snapshot

Deep networks for saliency detection via local estimation and global search

inferredcites →https://doi.org/10.1109/cvpr.2016.239openalex-snapshot

Eye Tracking for Everyone

inferredcites →https://doi.org/10.1109/cvpr.2017.212openalex-snapshot

Emotion Recognition in Context

inferredcites →https://doi.org/10.1109/iccv.2013.26openalex-snapshot

Saliency Detection: A Boolean Map Approach

inferredcites →https://doi.org/10.1109/iccv.2015.38openalex-snapshot

SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks

inferredcites →https://doi.org/10.1109/icpr.2016.7900174openalex-snapshot

A deep multi-level network for saliency prediction

inferredcites →https://doi.org/10.1109/lsp.2016.2617340openalex-snapshot

Visual Saliency Detection via Sparse Residual and Outlier Detection

inferredcites →https://doi.org/10.1109/tip.2015.2487833openalex-snapshot

Salient Object Detection: A Benchmark

inferredcites →https://doi.org/10.1109/tip.2017.2710620openalex-snapshot

DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations

inferredcites →https://doi.org/10.1109/tip.2018.2817047openalex-snapshot

A Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection

inferredcites →https://doi.org/10.1109/tmm.2014.2329275openalex-snapshot

Touch Saliency: Characteristics and Prediction

inferredcites →https://doi.org/10.1109/tnnls.2015.2488637openalex-snapshot

Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data

inferredcites →https://doi.org/10.1109/tpami.2009.30openalex-snapshot

In the Eye of the Beholder: A Survey of Models for Eyes and Gaze

inferredcites →https://doi.org/10.1109/tpami.2011.272openalex-snapshot

Context-Aware Saliency Detection

inferredcites →https://doi.org/10.1145/1008992.1009055openalex-snapshot

Automatic image annotation by using concept-sensitive salient objects for image content representation

inferredcites →https://doi.org/10.1145/1631272.1631399openalex-snapshot

Automated localization of affective objects and actions in images via caption text-cum-eye gaze analysis

inferredcites →https://doi.org/10.1145/2502081.2502282openalex-snapshot

Large-scale visual sentiment ontology and detectors using adjective noun pairs

inferredcites →https://doi.org/10.1145/2908446.2908487openalex-snapshot

Attention Identification via Relative Saliency of Localized Crowd Faces

inferredcites →https://doi.org/10.1145/3131275openalex-snapshot

BubbleView

inferredcites →https://doi.org/10.1163/156856800741216openalex-snapshot

Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics

inferredcites →https://doi.org/10.1167/14.1.28openalex-snapshot

Predicting human gaze beyond pixels

inferredcites →https://doi.org/10.1167/7.8.2openalex-snapshot

Local figure–ground cues are valid for natural images

inferredcites →https://doi.org/10.1167/8.14.18openalex-snapshot

Objects predict fixations better than early saliency

inferredcites →https://doi.org/10.1167/9.12.10openalex-snapshot

Faces and text attract gaze independent of the task: Experimental data and computer model

inferredcites →https://doi.org/10.1177/1534582303002002003openalex-snapshot

The Interface Between Emotion and Attention: A Review of Evidence From Psychology and Neuroscience

inferredcites →https://doi.org/10.1177/1745691610393980openalex-snapshot

Amazon's Mechanical Turk

inferredcites →https://doi.org/10.3389/fpsyg.2016.01613openalex-snapshot

Commentary: Neural Control of Vascular Reactions: Impact of Emotion and Attention

inferredcites →https://doi.org/10.3758/app.71.6.1337openalex-snapshot

Saliency on a natural scene background: Effects of color and luminance contrast add linearly

inferredcites →https://doi.org/10.3758/s13428-012-0226-9openalex-snapshot

Methods for comparing scanpaths and saliency maps: strengths and weaknesses

inferredcites →https://doi.org/10.4324/9781315784762openalex-snapshot

Attention

inferredcites →https://doi.org/10.48550/arxiv.1504.06755openalex-snapshot

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

inferredcites →https://doi.org/10.48550/arxiv.1505.03581openalex-snapshot

CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research

inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

inferredcites →https://doi.org/10.48550/arxiv.1606.00110openalex-snapshot

OpenSalicon: An Open Source Implementation of the Salicon Saliency Model

inferredcites →https://doi.org/10.48550/arxiv.1610.01563openalex-snapshot

DeepGaze II: Reading fixations from deep features trained on object recognition

inferredcites →https://doi.org/10.48550/arxiv.1701.01081openalex-snapshot

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

inferredcites →https://doi.org/10.5860/choice.46-3308openalex-snapshot

Design of comparative experiments

inferredcites →https://doi.org/10.7551/mitpress/7503.003.0073openalex-snapshot

Graph-Based Visual Saliency

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4685795openalex-extracted

inferred← citeshttps://doi.org/10.1002/cpe.5954openalex-snapshot

Various syncretic co‐attention network for multimodal sentiment analysis

inferred← citeshttps://doi.org/10.1007/978-3-030-31456-9_13openalex-snapshot

Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling

inferred← citeshttps://doi.org/10.1007/978-3-030-58452-8_6openalex-snapshot

AiR: Attention with Reasoning Capability

inferred← citeshttps://doi.org/10.1007/978-3-030-81465-6_4openalex-snapshot

Computational Emotion Analysis From Images: Recent Advances and Future Directions

inferred← citeshttps://doi.org/10.1007/978-3-030-97874-7_107openalex-snapshot

Gaze Estimation of Multi-camera and Multi-screen System Oriented to Human-Computer Interaction

inferred← citeshttps://doi.org/10.1007/978-3-031-19836-6_28openalex-snapshot

S$$^{2}$$-VER: Semi-supervised Visual Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-35681-0_7openalex-snapshot

CognitiveNet: Enriching Foundation Models with Emotions and Awareness

inferred← citeshttps://doi.org/10.1007/978-3-031-43078-7_13openalex-snapshot

AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device

inferred← citeshttps://doi.org/10.1007/978-3-031-60875-9_20openalex-snapshot

An Investigation of the Impact of Emotion in Image Classification Based on Deep Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-64451-1_4openalex-snapshot

Processing Multimodal Information: Challenges and Solutions for Multimodal Sentiment Analysis and Hate Speech Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-76156-0_10openalex-snapshot

Beyond the Gaze: Decoding Behavioral Dynamics in Sans Serif Fonts Through Eye-Tracking Exploration

inferred← citeshttps://doi.org/10.1007/978-3-031-84300-6_10openalex-snapshot

Attention, Multimodality, and Datasets for Validation

inferred← citeshttps://doi.org/10.1007/978-981-96-7714-6_3openalex-snapshot

Quality Assessment and Perception Models for Image and Video

inferred← citeshttps://doi.org/10.1007/978-981-99-5994-5_27openalex-snapshot

Human Eye Fixations Prediction for Visual Attention Using CNN - A Survey

inferred← citeshttps://doi.org/10.1007/s00371-020-01912-7openalex-snapshot

Effects of individual’s emotions on saliency and visual search

inferred← citeshttps://doi.org/10.1007/s00371-023-02854-6openalex-snapshot

Emotion-wise feature interaction analysis-based visual emotion distribution learning

inferred← citeshttps://doi.org/10.1007/s00521-022-07139-yopenalex-snapshot

Learning multi-level representations for affective image recognition

inferred← citeshttps://doi.org/10.1007/s00530-020-00656-7openalex-snapshot

A deep learning architecture of RA-DLNet for visual sentiment analysis

inferred← citeshttps://doi.org/10.1007/s00530-021-00796-4openalex-snapshot

Visual saliency prediction using multi-scale attention gated network

inferred← citeshttps://doi.org/10.1007/s00530-022-00935-5openalex-snapshot

Polarity-aware attention network for image sentiment analysis

inferred← citeshttps://doi.org/10.1007/s10462-023-10685-zopenalex-snapshot

Multi-level textual-visual alignment and fusion network for multimodal aspect-based sentiment analysis

inferred← citeshttps://doi.org/10.1007/s10579-025-09824-5openalex-snapshot

Aspect-based multimodal sentiment analysis via employing visual-to-emotional-caption translation network using visual-caption pairs

inferred← citeshttps://doi.org/10.1007/s10772-021-09842-yopenalex-snapshot

Salient object detection based on adaptive recalibration technique through deep network

inferred← citeshttps://doi.org/10.1007/s11042-022-13487-7openalex-snapshot

Deep stereoscopic image saliency inspired stereoscopic image thumbnail generation

inferred← citeshttps://doi.org/10.1007/s11042-024-18437-zopenalex-snapshot

Monkeypox recognition and prediction from visuals using deep transfer learning-based neural networks

inferred← citeshttps://doi.org/10.1007/s11042-024-18748-1openalex-snapshot

Bimodal sentiment analysis in social media: a one-shot learning approach

inferred← citeshttps://doi.org/10.1007/s11063-019-10027-7openalex-snapshot

Visual Sentiment Analysis by Combining Global and Local Information

inferred← citeshttps://doi.org/10.1007/s11063-022-11082-3openalex-snapshot

Deep Convolutional Neural Networks with Transfer Learning for Visual Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/s11263-021-01519-yopenalex-snapshot

Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction

inferred← citeshttps://doi.org/10.1007/s11276-021-02700-4openalex-snapshot

RETRACTED ARTICLE: Realization of artificial intelligence interactive system for advertising education in the era of 5G integrated media

inferred← citeshttps://doi.org/10.1007/s12539-022-00510-6openalex-snapshot

Identifying Visual Attention Features Accurately Discerning Between Autism and Typically Developing: a Deep Learning Framework

inferred← citeshttps://doi.org/10.1007/s12652-021-03214-9openalex-snapshot

RETRACTED ARTICLE: Landscape spatial pattern of industrial heritage area based on artificial intelligence and airborne SAR imaging algorithm

inferred← citeshttps://doi.org/10.1007/s12652-024-04779-xopenalex-snapshot

Video emotional description with fact reinforcement and emotion awaking

inferred← citeshttps://doi.org/10.1007/s42761-025-00315-yopenalex-snapshot

A Prompt Engineering Method for Generating Emotional Images for Psychological Research

inferred← citeshttps://doi.org/10.1007/s42979-019-0061-5openalex-snapshot

A Deeper Look at Human Visual Perception of Images

inferred← citeshttps://doi.org/10.1016/b978-0-12-824421-0.00018-7openalex-snapshot

Behavioral phenotype features of autism

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112963openalex-snapshot

Saccade inspired Attentive Visual Patch Transformer for image sentiment analysis

inferred← citeshttps://doi.org/10.1016/j.dsp.2021.103289openalex-snapshot

Attentive and context-aware deep network for saliency prediction on omni-directional images

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120641openalex-snapshot

Image emotion multi-label classification based on multi-graph learning

inferred← citeshttps://doi.org/10.1016/j.image.2020.116092openalex-snapshot

Saliency4ASD: Challenge, dataset and tools for visual attention modeling for autism spectrum disorder

inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.102913openalex-snapshot

A heuristic framework for perceptual saliency prediction

inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103221openalex-snapshot

Are emotional objects visually salient? The Emotional Maps Database

inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.103988openalex-snapshot

A recent survey on perceived group sentiment analysis

inferred← citeshttps://doi.org/10.1016/j.jvcir.2026.104776openalex-snapshot

Perceptually diverse visual saliency prediction with global context attention

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111279openalex-snapshot

Global semantic-guided network for saliency prediction

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.06.125openalex-snapshot

Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.083openalex-snapshot

Attention-aware concentrated network for saliency prediction

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.10.062openalex-snapshot

Image sentiment classification via multi-level sentiment region correlation analysis

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.04.080openalex-snapshot

TranSalNet: Towards perceptually relevant visual saliency prediction

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130822openalex-snapshot

RecSal-Net: Recursive Saliency Network for video saliency prediction

inferred← citeshttps://doi.org/10.1038/s41598-020-77550-9openalex-snapshot

Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers

inferred← citeshttps://doi.org/10.1080/03057240.2023.2236801openalex-snapshot

Mental images and imagination in moral education

inferred← citeshttps://doi.org/10.1080/15230406.2022.2153172openalex-snapshot

A geospatial image based eye movement dataset for cartography and GIS

inferred← citeshttps://doi.org/10.1080/23270012.2021.1998801openalex-snapshot

Image Analytics: A consolidation of visual feature extraction methods

inferred← citeshttps://doi.org/10.1101/2022.03.09.483582openalex-snapshot

A Dynamic Bottom-Up Saliency Detection Method for Still Images

inferred← citeshttps://doi.org/10.1108/intr-11-2019-0461openalex-snapshot

Exploring the influence of multimodal social media data on stock performance: an empirical perspective and analysis

inferred← citeshttps://doi.org/10.1109/access.2020.2986815openalex-snapshot

Deep Fusion for 3D Gaze Estimation From Natural Face Images Using Multi-Stream CNNs

inferred← citeshttps://doi.org/10.1109/access.2020.3020251openalex-snapshot

From Kanner Austim to Asperger Syndromes, the Difficult Task to Predict Where ASD People Look at

inferred← citeshttps://doi.org/10.1109/access.2020.3036908openalex-snapshot

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity

inferred← citeshttps://doi.org/10.1109/access.2021.3117780openalex-snapshot

Towards Collaborative and Intelligent Learning Environments Based on Eye Tracking Data and Learning Analytics: A Survey

inferred← citeshttps://doi.org/10.1109/access.2023.3283344openalex-snapshot

CUDAS: Distortion-Aware Saliency Benchmark

inferred← citeshttps://doi.org/10.1109/access.2025.3599547openalex-snapshot

Path-Aware Knowledge Injection for Fine-Grained Emotion Recognition in Mental Health Counseling

inferred← citeshttps://doi.org/10.1109/aciiw71585.2026.11712081openalex-snapshot

Beyond One-Size-Fits-All: Personalizing Affective Stimuli with Generative AI

inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023303openalex-snapshot

Median based Multi-label Prediction by Inflating Emotions with Dyads for Visual Sentiment Analysis

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385414openalex-snapshot

Objects Affect Where We Look: Improving Human Attention Prediction Using Extra Data

inferred← citeshttps://doi.org/10.1109/csci58124.2022.00257openalex-snapshot

HPGER: Integrating Human Perception Into Group Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cvpr.2019.00415openalex-snapshot

Emotion-Aware Human Attention Prediction

inferred← citeshttps://doi.org/10.1109/cvpr.2019.00659openalex-snapshot

Cross-Modality Personalization for Retrieval

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00453openalex-snapshot

How Much Time Do You Have? Modeling Multi-Duration Saliency

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01923openalex-snapshot

Deep Saliency Prior for Reducing Visual Distraction

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00265openalex-snapshot

Learning from Unique Perspectives: User-aware Saliency Modeling

inferred← citeshttps://doi.org/10.1109/fg.2019.8756573openalex-snapshot

Hierarchical Group-level Emotion Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/gcce46687.2019.9015464openalex-snapshot

Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features

inferred← citeshttps://doi.org/10.1109/gcce50665.2020.9292048openalex-snapshot

Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746128openalex-snapshot

Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization

inferred← citeshttps://doi.org/10.1109/icip.2019.8803446openalex-snapshot

Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis

inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506583openalex-snapshot

Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression

inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897473openalex-snapshot

Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information

inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897506openalex-snapshot

Panoramic Viewport Prediction Relying on Emotional Attention Map

inferred← citeshttps://doi.org/10.1109/icip49359.2023.10222460openalex-snapshot

Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals

inferred← citeshttps://doi.org/10.1109/icme.2019.00052openalex-snapshot

Collaborative Deep Reinforcement Learning for Image Cropping

inferred← citeshttps://doi.org/10.1109/icmew.2019.00121openalex-snapshot

Predicting Saliency Maps for ASD People

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412870openalex-snapshot

Translating Adult's Focus of Attention to Elderly's

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412925openalex-snapshot

PrivAttNet: Predicting Privacy Risks in Images Using Visual Attention

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9413057openalex-snapshot

FastSal: a Computationally Efficient Network for Visual Saliency Prediction

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650558openalex-snapshot

Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm

inferred← citeshttps://doi.org/10.1109/jproc.2023.3273517openalex-snapshot

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

inferred← citeshttps://doi.org/10.1109/jstars.2022.3200997openalex-snapshot

Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection

inferred← citeshttps://doi.org/10.1109/lifetech.2019.8884060openalex-snapshot

Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features

inferred← citeshttps://doi.org/10.1109/lifetech48969.2020.1570619124openalex-snapshot

Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA

inferred← citeshttps://doi.org/10.1109/lifetech52111.2021.9391939openalex-snapshot

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes

inferred← citeshttps://doi.org/10.1109/percomworkshops59983.2024.10502422openalex-snapshot

Emotion Prediction Through Eye Tracking in Affective Computing Systems

inferred← citeshttps://doi.org/10.1109/qomex55416.2022.9900911openalex-snapshot

An Interactive Annotation Tool for Perceptual Video Compression

inferred← citeshttps://doi.org/10.1109/rbme.2021.3066072openalex-snapshot

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes

inferred← citeshttps://doi.org/10.1109/taffc.2025.3641966openalex-snapshot

SalMIM: Saliency-Guided Masked Image Modeling Network for Visual Emotion Analysis

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3171563openalex-snapshot

Adaptive Viewpoint Feature Enhancement-Based Binocular Stereoscopic Image Saliency Detection

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3197159openalex-snapshot

Intra- and Inter-Reasoning Graph Convolutional Network for Saliency Prediction on 360° Images

inferred← citeshttps://doi.org/10.1109/tip.2022.3158064openalex-snapshot

Weakly Supervised Visual Saliency Prediction

inferred← citeshttps://doi.org/10.1109/tmm.2019.2939744openalex-snapshot

WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection

inferred← citeshttps://doi.org/10.1109/tmm.2020.3001527openalex-snapshot

Adaptive Deep Metric Learning for Affective Image Retrieval and Classification

inferred← citeshttps://doi.org/10.1109/tmm.2020.3013350openalex-snapshot

Emotion Attention-Aware Collaborative Deep Reinforcement Learning for Image Cropping

inferred← citeshttps://doi.org/10.1109/tmm.2020.3033125openalex-snapshot

Hierarchical Group-Level Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2020.3042664openalex-snapshot

APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval

inferred← citeshttps://doi.org/10.1109/tmm.2021.3058555openalex-snapshot

Emotion Expression With Fact Transfer for Video Description

inferred← citeshttps://doi.org/10.1109/tmm.2023.3249481openalex-snapshot

RINet: Relative Importance-Aware Network for Fixation Prediction

inferred← citeshttps://doi.org/10.1109/tmm.2023.3313507openalex-snapshot

Image Aesthetics Assessment Based on Hypernetwork of Emotion Fusion

inferred← citeshttps://doi.org/10.1109/tmm.2026.3668606openalex-snapshot

DSPNet: Dual-Path Saliency Prediction With Reconstructed Feature Injection and Discrepancy-Aware KL Loss

inferred← citeshttps://doi.org/10.1109/tnnls.2018.2873722openalex-snapshot

Attention Inspiring Receptive-Fields Network for Learning Invariant Representations

inferred← citeshttps://doi.org/10.1109/tpami.2019.2935715openalex-snapshot

Saliency Prediction in the Deep Learning Era: Successes and Limitations

inferred← citeshttps://doi.org/10.1109/tpami.2021.3094362openalex-snapshot

Affective Image Content Analysis: Two Decades Review and New Perspectives

inferred← citeshttps://doi.org/10.1109/tpami.2021.3107872openalex-snapshot

Instance-Level Relative Saliency Ranking with Graph Reasoning

inferred← citeshttps://doi.org/10.1109/tpami.2021.3114582openalex-snapshot

Attention in Reasoning: Dataset, Analysis, and Modeling

inferred← citeshttps://doi.org/10.1109/tpami.2022.3169234openalex-snapshot

Emotional Attention: From Eye Tracking to Computational Modeling

inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093515openalex-snapshot

Attention Flow: End-to-End Joint Attention Estimation

inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00214openalex-snapshot

Improving saliency models’ predictions of the next fixation with humans’ intrinsic cost of gaze shifts

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00045openalex-snapshot

Learning Saliency From Fixations

inferred← citeshttps://doi.org/10.1142/s0219649222500666openalex-snapshot

Visual Saliency Modeling with Deep Learning: A Comprehensive Review

inferred← citeshttps://doi.org/10.1145/3326335openalex-snapshot

Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs

inferred← citeshttps://doi.org/10.1145/3337066openalex-snapshot

Visual Attention Analysis and Prediction on Human Faces for Children with Autism Spectrum Disorder

inferred← citeshttps://doi.org/10.1145/3343031.3350963openalex-snapshot

Human-imperceptible Privacy Protection Against Machines

inferred← citeshttps://doi.org/10.1145/3394171.3413894openalex-snapshot

Scene-Aware Background Music Synthesis

inferred← citeshttps://doi.org/10.1145/3463945.3469058openalex-snapshot

A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods

inferred← citeshttps://doi.org/10.1145/3484274.3484296openalex-snapshot

Multi-label Prediction for Visual Sentiment Analysis using Eight Different Emotions based on Psychology

inferred← citeshttps://doi.org/10.1145/3503161.3548083openalex-snapshot

S-CCR: Super-Complete Comparative Representation for Low-Light Image Quality Inference In-the-wild

inferred← citeshttps://doi.org/10.1145/3664647.3680875openalex-snapshot

Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs

inferred← citeshttps://doi.org/10.1145/3797246.3806792openalex-snapshot

Visitor and Kangaroo as a Large-Scale AOI-Structured Yarbus Replication Dataset

inferred← citeshttps://doi.org/10.1155/2022/9772714openalex-snapshot

Attention-Based Sentiment Region Importance and Relationship Analysis for Image Sentiment Recognition

inferred← citeshttps://doi.org/10.1167/jov.24.4.1openalex-snapshot

Why did Rubens add a parrot to Titian's The Fall of Man? A pictorial manipulation of joint attention

inferred← citeshttps://doi.org/10.1587/transinf.2020edp7218openalex-snapshot

Image Emotion Recognition Using Visual and Semantic Features Reflecting Emotional and Similar Objects

inferred← citeshttps://doi.org/10.1587/transinf.2022edp7220openalex-snapshot

Siamese Transformer for Saliency Prediction Based on Multi-Prior Enhancement and Cross-Modal Attention Collaboration

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.219openalex-snapshot

Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis

inferred← citeshttps://doi.org/10.18653/v1/2022.wassa-1.1openalex-snapshot

On the Complementarity of Images and Text for the Expression of Emotions in Social Media

inferred← citeshttps://doi.org/10.18653/v1/2023.bigpicture-1.1openalex-snapshot

Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches

inferred← citeshttps://doi.org/10.24963/ijcai.2021/81openalex-snapshot

GASP: Gated Attention for Saliency Prediction

inferred← citeshttps://doi.org/10.3389/fbioe.2022.946084openalex-snapshot

Bio-driven visual saliency detection with color factor

inferred← citeshttps://doi.org/10.3390/a15050150openalex-snapshot

An Emotion and Attention Recognition System to Classify the Level of Engagement to a Video Conversation by Participants in Real Time Using Machine Learning Models and Utilizing a Neural Accelerator Chip

inferred← citeshttps://doi.org/10.3390/app11041404openalex-snapshot

Discovering Sentimental Interaction via Graph Convolutional Network for Visual Sentiment Prediction

inferred← citeshttps://doi.org/10.3390/app12010309openalex-snapshot

Review of Visual Saliency Prediction: Development Process from Neurobiological Basis to Deep Models

inferred← citeshttps://doi.org/10.3390/app9245378openalex-snapshot

The Effect of Eye Movements in Response to Different Types of Scenes Using a Graph-Based Visual Saliency Algorithm

inferred← citeshttps://doi.org/10.3390/brainsci13040589openalex-snapshot

eSEE-d: Emotional State Estimation Based on Eye-Tracking Dataset

inferred← citeshttps://doi.org/10.3390/drones4010002openalex-snapshot

EyeTrackUAV2: A Large-Scale Binocular Eye-Tracking Dataset for UAV Videos

inferred← citeshttps://doi.org/10.3390/drones4030031openalex-snapshot

Inferring Visual Biases in UAV Videos from Eye Movements

inferred← citeshttps://doi.org/10.3390/electronics11081180openalex-snapshot

A Saliency Prediction Model Based on Re-Parameterization and Channel Attention Mechanism

inferred← citeshttps://doi.org/10.3390/jimaging10060136openalex-snapshot

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation

inferred← citeshttps://doi.org/10.3390/robotics11020041openalex-snapshot

A Perspective Review on Integrating VR/AR with Haptics into STEM Education for Multi-Sensory Learning

inferred← citeshttps://doi.org/10.3390/s20072146openalex-snapshot

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion

inferred← citeshttps://doi.org/10.3390/s20082170openalex-snapshot

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention

inferred← citeshttps://doi.org/10.3390/s20133739openalex-snapshot

When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

inferred← citeshttps://doi.org/10.3390/s21062136openalex-snapshot

Multi-Level Context Pyramid Network for Visual Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/s23031262openalex-snapshot

Using Gaze for Behavioural Biometrics

inferred← citeshttps://doi.org/10.3390/s24072298openalex-snapshot

Facial Expression Recognition for Measuring Jurors’ Attention in Acoustic Jury Tests

inferred← citeshttps://doi.org/10.3390/sym13081464openalex-snapshot

TGSL-Dependent Feature Selection for Boosting the Visual Sentiment Classification

inferred← citeshttps://doi.org/10.3724/sp.j.1089.2023.19742openalex-snapshot

Image Emotion Recognition via Fusion Multi-Level Representations

inferred← citeshttps://doi.org/10.48550/arxiv.1810.03716openalex-snapshot

Saliency Prediction in the Deep Learning Era: Successes, Limitations, and Future Challenges

inferred← citeshttps://doi.org/10.70675/0cb19464zf546z44c8z9f0azbc4762fdca0eopenalex-snapshot

A Gaze into the Art World : Predicting Visual Attention Using Deep Learning

inferred← citeshttps://doi.org/10.70675/fb8d0818z5d8dz4066zab43zc8821ead2ee6openalex-snapshot

Navigation et émotions : influence de la coloration affective des points de repère sur la mémoire spatiale

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