On the public citation graph
Face Expression Recognition Method Based on Weak Annotation and Conditional Generative Adversarial Neural Networks
0 signed · 50 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-211-89836-9_1025openalex-extracted
Pearson correlation coefficient
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_27openalex-extracted
Peak-Piloted Deep Network for Facial Expression Recognition
inferredcites →https://doi.org/10.1007/s11042-018-6040-3openalex-extracted
Efficient facial expression recognition using histogram of oriented gradients in wavelet domain
inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-extracted
A tutorial on spectral clustering
inferredcites →https://doi.org/10.1016/j.artint.2014.02.004openalex-extracted
The dropout learning algorithm
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.01.001openalex-extracted
A novel statistical and multiscale local binary feature for 2D and 3D face verification
inferredcites →https://doi.org/10.1016/j.ijleo.2015.08.185openalex-extracted
Driver fatigue recognition based on facial expression analysis using local binary patterns
inferredcites →https://doi.org/10.1016/j.imavis.2011.07.002openalex-extracted
Facial expression recognition from near-infrared videos
inferredcites →https://doi.org/10.1016/j.ins.2020.10.065openalex-extracted
New framework for person-independent facial expression recognition combining textural and shape analysis through new feature extraction approach
inferredcites →https://doi.org/10.1016/j.neubiorev.2022.104977openalex-extracted
Emotions as Computations
inferredcites →https://doi.org/10.1016/j.neucom.2018.03.034openalex-extracted
A visual attention based ROI detection method for facial expression recognition
inferredcites →https://doi.org/10.1016/j.patcog.2011.05.006openalex-extracted
Facial expression recognition using radial encoding of local Gabor features and classifier synthesis
inferredcites →https://doi.org/10.1016/j.patrec.2019.08.025openalex-extracted
A Weakly Supervised learning technique for classifying facial expressions
inferredcites →https://doi.org/10.1049/iet-cvi.2016.0186openalex-extracted
Improved sparse representation method for image classification
inferredcites →https://doi.org/10.1073/pnas.0601602103openalex-extracted
Modularity and community structure in networks
inferredcites →https://doi.org/10.1109/access.2020.2999596openalex-extracted
Weakly Supervised Object Detection Using Complementary Learning and Instance Clustering
inferredcites →https://doi.org/10.1109/access.2022.3232561openalex-extracted
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias
inferredcites →https://doi.org/10.1109/afgr.2004.1301583openalex-extracted
Recognizing facial actions using gabor wavelets with neutral face average difference
inferredcites →https://doi.org/10.1109/cvpr.2011.5995680openalex-extracted
A rank-order distance based clustering algorithm for face tagging
inferredcites →https://doi.org/10.1109/cvpr.2013.451openalex-extracted
Selective Transfer Machine for Personalized Facial Action Unit Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.226openalex-extracted
Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298711openalex-extracted
Weakly supervised object detection with convex clustering
inferredcites →https://doi.org/10.1109/cvpr.2018.00223openalex-extracted
Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering
inferredcites →https://doi.org/10.1109/cvpr.2018.00231openalex-extracted
Facial Expression Recognition by De-expression Residue Learning
inferredcites →https://doi.org/10.1109/cvprw.2010.5543262openalex-extracted
The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
inferredcites →https://doi.org/10.1109/fuzz45933.2021.9494541openalex-extracted
Applying Fuzzy Inference Systems in the Extraction of Chia Cake Extract: Predicting the Mass Yield
inferredcites →https://doi.org/10.1109/icacsis.2018.8618248openalex-extracted
Geometric Facial Components Feature Extraction for Facial Expression Recognition
inferredcites →https://doi.org/10.1109/iciscae52414.2021.9590765openalex-extracted
Study on the Construction Method of Requirement Knowledge Atlas Based on Graph Neural Network
inferredcites →https://doi.org/10.1109/icmlc.2007.4370612openalex-extracted
Wind Speed Forecasting Based on Support Vector Machine with Forecasting Error Estimation
inferredcites →https://doi.org/10.1109/iet-iceta56553.2022.9971661openalex-extracted
2D Winograd Circuits with Data Reuse for FaceNet Identification System
inferredcites →https://doi.org/10.1109/iisa.2013.6623705openalex-extracted
Face recognition based on the feature fusion of 2DLDA and LBP
inferredcites →https://doi.org/10.1109/isbim.2008.112openalex-extracted
Study on the Evaluation Method of Industrial Technology Innovative Ability Based on Principal Components Analysis and Support Vector Machine
inferredcites →https://doi.org/10.1109/jestpe.2022.3154785openalex-extracted
Electrochemical-Theory-Guided Modeling of the Conditional Generative Adversarial Network for Battery Calendar Aging Forecast
inferredcites →https://doi.org/10.1109/r10-htc47129.2019.9042442openalex-extracted
The Fuzzy Emotion Recognition Framework Using Semantic-Linguistic Facial Features
inferredcites →https://doi.org/10.1109/taffc.2019.2949314openalex-extracted
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
inferredcites →https://doi.org/10.1109/taffc.2020.2981446openalex-extracted
Deep Facial Expression Recognition: A Survey
inferredcites →https://doi.org/10.1109/taffc.2020.3027340openalex-extracted
STCAM: Spatial-Temporal and Channel Attention Module for Dynamic Facial Expression Recognition
inferredcites →https://doi.org/10.1109/taffc.2021.3061967openalex-extracted
MERASTC: Micro-Expression Recognition Using Effective Feature Encodings and 2D Convolutional Neural Network
inferredcites →https://doi.org/10.1109/taffc.2022.3188390openalex-extracted
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network
inferredcites →https://doi.org/10.1109/tip.2017.2689999openalex-extracted
Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks
inferredcites →https://doi.org/10.1109/tpami.2004.1261097openalex-extracted
Two-dimensional pca: a new approach to appearance-based face representation and recognition
inferredcites →https://doi.org/10.1109/tpami.2007.1110openalex-extracted
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
inferredcites →https://doi.org/10.1109/tpami.2011.158openalex-extracted
Weakly Supervised Learning of Interactions between Humans and Objects
inferredcites →https://doi.org/10.1126/science.aaz9468openalex-extracted
Facial expressions of emotion states and their neuronal correlates in mice
inferredcites →https://doi.org/10.14209/sbrt.2004.68openalex-extracted
Recognizing Facial Actions Using Gabor Wavelets with Neutral Face Average Difference
inferredcites →https://doi.org/10.2139/ssrn.3900990openalex-extracted
“Excavating AI” Re-Excavated: Debunking a Fallacious Account of the Jaffe Dataset
inferredcites →https://doi.org/10.2991/ijcis.d.190801.001openalex-extracted
Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm
inferredcites →https://doi.org/10.3390/app13169230openalex-extracted
A Depression Recognition Method Based on the Alteration of Video Temporal Angle Features
inferredcites →https://doi.org/10.4304/jcp.9.3.608-617openalex-extracted
A Novel Automatic Facial Expression Recognition Method Based on AAM
inferredcites →https://doi.org/10.48550/arxiv.2009.05938openalex-extracted
Coding Facial Expressions with Gabor Wavelets (IVC Special Issue)
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.