On the public citation graph

An Efficient and Full Functional Network for Driver Attention Monitoring

0 signed · 21 inferred · view as graph

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.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01249-6_21openalex-extracted
RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_7openalex-extracted
Facial Landmark Detection by Deep Multi-task Learning
inferredcites →https://doi.org/10.1016/j.patcog.2017.06.009openalex-extracted
Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
inferredcites →https://doi.org/10.1109/cac.2018.8623087openalex-extracted
Driver fatigue Assessment Based on the Feature Fusion and Transfer Learning of EEG and EMG
inferredcites →https://doi.org/10.1109/cvpr.2016.23openalex-extracted
Face Alignment Across Large Poses: A 3D Solution
inferredcites →https://doi.org/10.1109/cvpr.2017.167openalex-extracted
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00052openalex-extracted
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment
inferredcites →https://doi.org/10.1109/cvpr.2018.00375openalex-extracted
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare
inferredcites →https://doi.org/10.1109/cvprw.2018.00281openalex-extracted
Fine-Grained Head Pose Estimation Without Keypoints
inferredcites →https://doi.org/10.1109/fg.2017.137openalex-extracted
An All-In-One Convolutional Neural Network for Face Analysis
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-extracted
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/ijcnn.2015.7280817openalex-extracted
Single channel wireless EEG device for real-time fatigue level detection
inferredcites →https://doi.org/10.1109/iscaie.2018.8405495openalex-extracted
Driver drowsiness monitoring system using visual behaviour and machine learning
inferredcites →https://doi.org/10.1109/itsc.2014.6957718openalex-extracted
Driver fatigue surveillance via eye detection
inferredcites →https://doi.org/10.1109/itsc.2017.8317841openalex-extracted
Probabilistic estimation of the driver's gaze from head orientation and position
inferredcites →https://doi.org/10.1109/tip.2011.2162740openalex-extracted
Combining Head Pose and Eye Location Information for Gaze Estimation
inferredcites →https://doi.org/10.1109/tits.2010.2050200openalex-extracted
Driving Safety Monitoring Using Semisupervised Learning on Time Series Data
inferredcites →https://doi.org/10.1109/tits.2013.2257759openalex-extracted
Reasoning-Based Framework for Driving Safety Monitoring Using Driving Event Recognition
inferredcites →https://doi.org/10.1109/tpami.2017.2778103openalex-extracted
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
inferredcites →https://doi.org/10.1109/tpami.2017.2781233openalex-extracted
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
inferredcites →https://doi.org/10.1109/w-ficloud.2018.00026openalex-extracted
Embedded Fatigue Detection Using Convolutional Neural Networks with Mobile Integration
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.