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Toward Visual Behavior and Attention Understanding for Augmented 360 Degree Videos

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What this work says

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

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Differential effects of central versus peripheral vision on egocentric and exocentric motion perception

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GBVS360, BMS360, ProSal: Extending existing saliency prediction models from 2D to omnidirectional images

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A saliency prediction model on 360 degree images using color dictionary based sparse representation

inferredcites →https://doi.org/10.1016/j.image.2018.03.008openalex-snapshot

A feature-based approach for saliency estimation of omni-directional images

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360-aware saliency estimation with conventional image saliency predictors

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Toolbox and dataset for the development of saliency and scanpath models for omnidirectional/360° still images

inferredcites →https://doi.org/10.1016/j.image.2018.05.005openalex-snapshot

SalNet360: Saliency maps for omni-directional images with CNN

inferredcites →https://doi.org/10.1016/j.image.2018.05.010openalex-snapshot

The prediction of head and eye movement for 360 degree images

inferredcites →https://doi.org/10.1016/j.imavis.2020.103887openalex-snapshot

EML-NET: An Expandable Multi-Layer NETwork for saliency prediction

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Visual correlates of fixation selection: effects of scale and time

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Components of bottom-up gaze allocation in natural images

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

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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

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SALICON: Saliency in Context

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Deep Residual Learning for Image Recognition

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Revisiting Video Saliency: A Large-Scale Benchmark and a New Model

inferredcites →https://doi.org/10.1109/cvpr.2018.00559openalex-snapshot

Gaze Prediction in Dynamic 360° Immersive Videos

inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot

Proceedings of IEEE International Conference on Computer Vision

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FlowNet: Learning Optical Flow with Convolutional Networks

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Video Saliency Prediction Based on Spatial-Temporal Two-Stream Network

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Learning Sparse Representation for Objective Image Retargeting Quality Assessment

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Blind Noisy Image Quality Assessment Using Sub-Band Kurtosis

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Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model

inferredcites →https://doi.org/10.1109/tip.2019.2936112openalex-snapshot

Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks

inferredcites →https://doi.org/10.1109/tip.2021.3050861openalex-snapshot

Saliency Prediction on Omnidirectional Image With Generative Adversarial Imitation Learning

inferredcites →https://doi.org/10.1109/tmm.2017.2777665openalex-snapshot

Spatio-Temporal Saliency Networks for Dynamic Saliency Prediction

inferredcites →https://doi.org/10.1109/tmm.2019.2957986openalex-snapshot

The Prediction of Saliency Map for Head and Eye Movements in 360 Degree Images

inferredcites →https://doi.org/10.1109/tvcg.2017.2750671openalex-snapshot

Semantic-Driven Generation of Hyperlapse from 360 Degree Video

inferredcites →https://doi.org/10.1109/tvcg.2022.3150502openalex-snapshot

ScanGAN360: A Generative Model of Realistic Scanpaths for 360° Images

inferredcites →https://doi.org/10.1142/s1793351x19400142openalex-snapshot

A Benchmark of Four Methods for Generating 360∘Saliency Maps from Eye Tracking Data

inferredcites →https://doi.org/10.1145/159544.159581openalex-snapshot

Tracking requirements for augmented reality

inferredcites →https://doi.org/10.1145/2996463openalex-snapshot

Fixation Prediction through Multimodal Analysis

inferredcites →https://doi.org/10.1145/3304109.3325820openalex-snapshot

A saliency dataset for 360-degree videos

inferredcites →https://doi.org/10.1145/3337066openalex-snapshot

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

inferredcites →https://doi.org/10.1145/3410455openalex-snapshot

Learning a Deep Agent to Predict Head Movement in 360-Degree Images

inferredcites →https://doi.org/10.1145/3511603openalex-snapshot

Spherical Convolution Empowered Viewport Prediction in 360 Video Multicast with Limited FoV Feedback

inferredcites →https://doi.org/10.1145/514236.514265openalex-snapshot

Collaborative augmented reality

inferredcites →https://doi.org/10.1146/annurev-neuro-072116-031526openalex-snapshot

Toward a Rational and Mechanistic Account of Mental Effort

inferredcites →https://doi.org/10.1167/9.12.15openalex-snapshot

Static and space-time visual saliency detection by self-resemblance

inferredcites →https://doi.org/10.1201/b16191openalex-snapshot

Human Factors Engineering and Ergonomics

inferredcites →https://doi.org/10.20870/ijvr.2010.9.2.2767openalex-snapshot

A Survey of Augmented Reality Technologies, Applications and Limitations

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Perron-Frobenius theorem for nonnegative tensors

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Advances in Neural Information Processing Systems 19

inferredcites →https://doi.org/10.5860/choice.39-4939openalex-snapshot

International encyclopedia of ergonomics and human factors

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فاعلية توظيف تطبيقات التصوير 360 درجة في تنمية مهارات صناعة المحتوى الإخباري الرقمي لدى طلاب كليات الإعلام- دراسة شبة تجريبية

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