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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-40728-4_56openalex-snapshot
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
inferredcites →https://doi.org/10.1007/s10702-005-7125-6openalex-snapshot
A Recurrent Quantum Neural Network Model to Describe Eye Tracking of Moving Targets
inferredcites →https://doi.org/10.1007/s11263-009-0215-3openalex-snapshot
Modelling Spatio-Temporal Saliency to Predict Gaze Direction for Short Videos
inferredcites →https://doi.org/10.1016/j.neuron.2015.09.042openalex-snapshot
Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking
inferredcites →https://doi.org/10.1037/h0047313openalex-snapshot
A mechanical model for human attention and immediate memory.
inferredcites →https://doi.org/10.1038/nrn3443openalex-snapshot
Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence
inferredcites →https://doi.org/10.1080/10447318.2017.1314611openalex-snapshot
Using an Eye-Tracking Approach to Explore Gender Differences in Visual Attention and Shopping Attitudes in an Online Shopping Environment
inferredcites →https://doi.org/10.1093/med/9780199969289.001.0001openalex-snapshot
The Neurology of Eye Movements
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr.2019.00318openalex-snapshot
Learning Unsupervised Video Object Segmentation Through Visual Attention
inferredcites →https://doi.org/10.1109/cvpr.2019.01006openalex-snapshot
Neuro-Inspired Eye Tracking With Eye Movement Dynamics
inferredcites →https://doi.org/10.1109/cvpr.2019.01218openalex-snapshot
Generalizing Eye Tracking With Bayesian Adversarial Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00699openalex-snapshot
Dynamic Face Video Segmentation via Reinforcement Learning
inferredcites →https://doi.org/10.1109/iccv.2001.937604openalex-snapshot
Statistical context priming for object detection
inferredcites →https://doi.org/10.1109/tcad.2018.2858340openalex-snapshot
Digital Foveation: An Energy-Aware Machine Vision Framework
inferredcites →https://doi.org/10.1109/tmm.2021.3076612openalex-snapshot
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
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.2017.2778103openalex-snapshot
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
inferredcites →https://doi.org/10.1111/cgf.13354openalex-snapshot
Watch to Edit: Video Retargeting using Gaze
inferredcites →https://doi.org/10.1136/archdischild-2017-314449openalex-snapshot
Visual attention on a respiratory function monitor during simulated neonatal resuscitation: an eye-tracking study
inferredcites →https://doi.org/10.1145/1743666.1743682openalex-snapshot
Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
inferredcites →https://doi.org/10.1145/2168556.2168617openalex-snapshot
Bayesian online clustering of eye movement data
inferredcites →https://doi.org/10.1145/2857491.2857512openalex-snapshot
Bayesian identification of fixations, saccades, and smooth pursuits
inferredcites →https://doi.org/10.1145/3027063.3053243openalex-snapshot
Facial Thermography for Attention Tracking on Smart Eyewear
inferredcites →https://doi.org/10.1145/3204493.3204548openalex-snapshot
Revisiting data normalization for appearance-based gaze estimation
inferredcites →https://doi.org/10.1145/3290605.3300646openalex-snapshot
Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications
inferredcites →https://doi.org/10.1145/3351227openalex-snapshot
Classifying Attention Types with Thermal Imaging and Eye Tracking
inferredcites →https://doi.org/10.1145/355017.355028openalex-snapshot
Identifying fixations and saccades in eye-tracking protocols
inferredcites →https://doi.org/10.3389/fncom.2020.00029openalex-snapshot
Attention in Psychology, Neuroscience, and Machine Learning
inferredcites →https://doi.org/10.3390/s20133739openalex-snapshot
When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking
inferredcites →https://doi.org/10.3758/s13428-018-1144-2openalex-snapshot
1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/mprv.2022.3160063openalex-snapshot
Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021
inferred← citeshttps://doi.org/10.1109/vr55154.2023.00049openalex-snapshot
Optimizing Product Placement for Virtual Stores
inferred← citeshttps://doi.org/10.1145/3517250openalex-snapshot
Do Smart Glasses Dream of Sentimental Visions?
inferred← citeshttps://doi.org/10.1145/3569490openalex-snapshot
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear
inferred← citeshttps://doi.org/10.1145/3613904.3642320openalex-snapshot
PANDALens: Towards AI-Assisted In-Context Writing on OHMD During Travels
inferred← citeshttps://doi.org/10.1145/3613905.3648644openalex-snapshot
Demonstrating PANDALens: Enhancing Daily Activity Documentation with AI-assisted In-Context Writing on OHMD
inferred← citeshttps://doi.org/10.1145/3659600openalex-snapshot
Can Large Language Models Be Good Companions?
inferred← citeshttps://doi.org/10.1145/3675094.3678992openalex-snapshot
Empowering Smart Glasses with Large Language Models: Towards Ubiquitous AGI
inferred← citeshttps://doi.org/10.1145/3712266openalex-snapshot
Transient Authentication from First-Person-View Video
inferred← citeshttps://doi.org/10.1145/3770641openalex-snapshot
ActiveEye: Enabling Continuous and Responsive Video Understanding for Smart Eyewear Systems
inferred← citeshttps://doi.org/10.1145/3770709openalex-snapshot
Gestura: A LVLM-Powered System Bridging Motion and Semantics for Real-Time Free-Form Gesture Understanding
inferred← citeshttps://doi.org/10.1145/3831997openalex-snapshot
EmbodiedRecall: A Ring-to-Glasses System for Preserving Valuable, Fleeting Moments in Daily Activities
inferred← citeshttps://doi.org/10.3390/jemr18040027openalex-snapshot
eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification
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