On the public citation graph

Micro-Expression Recognition Based on Optical Flow and PCANet+

https://doi.org/10.3390/s22114296
0 signed · 49 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-319-16631-5_51openalex-snapshot
A Delaunay-Based Temporal Coding Model for Micro-expression Recognition
inferredcites →https://doi.org/10.1007/978-3-319-16865-4_34openalex-snapshot
LBP with Six Intersection Points: Reducing Redundant Information in LBP-TOP for Micro-expression Recognition
inferredcites →https://doi.org/10.1007/978-3-642-23094-3_22openalex-snapshot
Robust Trajectory-Space TV-L1 Optical Flow for Non-rigid Sequences
inferredcites →https://doi.org/10.1007/978-3-642-38886-6_1openalex-snapshot
Texture Description with Completed Local Quantized Patterns
inferredcites →https://doi.org/10.1007/978-81-322-1934-7_13openalex-snapshot
Study of Facial Micro-expressions in Psychology
inferredcites →https://doi.org/10.1007/s10044-018-0757-5openalex-snapshot
Micro-expression recognition based on 3D flow convolutional neural network
inferredcites →https://doi.org/10.1007/s10919-008-0057-7openalex-snapshot
Detecting Deception from Emotional and Unemotional Cues
inferredcites →https://doi.org/10.1007/s10919-013-0159-8openalex-snapshot
How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions
inferredcites →https://doi.org/10.1007/s10979-008-9166-4openalex-snapshot
Police lie detection accuracy: The effect of lie scenario.
inferredcites →https://doi.org/10.1016/j.image.2016.06.004openalex-snapshot
Spontaneous subtle expression detection and recognition based on facial strain
inferredcites →https://doi.org/10.1016/j.neucom.2014.01.029openalex-snapshot
For micro-expression recognition: Database and suggestions
inferredcites →https://doi.org/10.1080/00332747.1969.11023575openalex-snapshot
Nonverbal Leakage and Clues to Deception †
inferredcites →https://doi.org/10.1093/acprof:oso/9780195327939.001.0001openalex-snapshot
The Philosophy of Deception
inferredcites →https://doi.org/10.1109/fg.2013.6553717openalex-snapshot
A Spontaneous Micro-expression Database: Inducement, collection and baseline
inferredcites →https://doi.org/10.1109/fg.2018.00105openalex-snapshot
Enriched Long-Term Recurrent Convolutional Network for Facial Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/iccv.2011.6126401openalex-snapshot
Recognising spontaneous facial micro-expressions
inferredcites →https://doi.org/10.1109/iccvw.2015.10openalex-snapshot
Facial Micro-Expression Recognition Using Spatiotemporal Local Binary Pattern with Integral Projection
inferredcites →https://doi.org/10.1109/icip.2018.8451376openalex-snapshot
Can Micro-Expression be Recognized Based on Single Apex Frame?
inferredcites →https://doi.org/10.1109/lsp.2017.2749763openalex-snapshot
Stacking PCANet +: An Overly Simplified ConvNets Baseline for Face Recognition
inferredcites →https://doi.org/10.1109/taffc.2015.2485205openalex-snapshot
A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/taffc.2016.2518162openalex-snapshot
Microexpression Identification and Categorization Using a Facial Dynamics Map
inferredcites →https://doi.org/10.1109/tip.2015.2475625openalex-snapshot
PCANet: A Simple Deep Learning Baseline for Image Classification?
inferredcites →https://doi.org/10.1109/tip.2020.3035042openalex-snapshot
Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/tmm.2018.2820321openalex-snapshot
Learning From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/tpami.2007.1110openalex-snapshot
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
inferredcites →https://doi.org/10.1109/tpami.2016.2515606openalex-snapshot
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications
inferredcites →https://doi.org/10.1145/2964284.2967247openalex-snapshot
Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations
inferredcites →https://doi.org/10.1371/journal.pone.0086041openalex-snapshot
CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
inferredcites →https://doi.org/10.1631/jzus.b1100063openalex-snapshot
Effects of the duration of expressions on the recognition of microexpressions
inferredcites →https://doi.org/10.3389/fpsyg.2017.01745openalex-snapshot
Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition

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.4646394openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-96-9818-9_12openalex-snapshot
Emotion Recognition of EEG - Facial Expression Based on Multimodal Fusion
inferred← citeshttps://doi.org/10.1007/978-981-99-8076-5_13openalex-snapshot
Micro-expression Recognition Based on PCB-PCANet+
inferred← citeshttps://doi.org/10.1007/s00521-024-10262-7openalex-snapshot
A review of research on micro-expression recognition algorithms based on deep learning
inferred← citeshttps://doi.org/10.1007/s11042-025-20813-2openalex-snapshot
Facial micro-expression recognition based on dual-stream fusion network
inferred← citeshttps://doi.org/10.1007/s11760-025-03994-zopenalex-snapshot
The dual stream network with embedding temporal convolution for micro-expression recognition
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111777openalex-snapshot
Robust two-dimensional PCANet with F-norm distance metric
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129135openalex-snapshot
Micro-expression recognition based on direct learning of graph structure
inferred← citeshttps://doi.org/10.1016/j.sigpro.2025.110171openalex-snapshot
Micro-expression recognition through feature enhancement and region weighted fusion based on supervised contrastive learning
inferred← citeshttps://doi.org/10.1109/ichci63580.2024.10807983openalex-snapshot
A New Paradigm for Deep Micro-Expression Recognition Under Occluded Conditions
inferred← citeshttps://doi.org/10.1109/icmlca66850.2025.11336508openalex-snapshot
Exploration of Deep Learning-Driven Multi-Modal Image Fusion Technology in Micro-Expression Recognition
inferred← citeshttps://doi.org/10.1111/nyas.70180openalex-snapshot
Micro‐Expression Recognition Under Occlusion Based on Expression Semantic Surface Texture
inferred← citeshttps://doi.org/10.1145/3607829.3616444openalex-snapshot
Nonlinear Deep Subspace Network for Micro-expression Recognition
inferred← citeshttps://doi.org/10.2139/ssrn.5789196openalex-snapshot
AFNet: Adaptive Fusion of Complementary Dynamic Representations for Micro-expression Recognition
inferred← citeshttps://doi.org/10.3389/fpsyt.2026.1729303openalex-snapshot
Comparative study of an ai-based visual psychophysiological analysis platform and self-report scales for screening depression and anxiety: a single-center prospective diagnostic study
inferred← citeshttps://doi.org/10.3390/app13031846openalex-snapshot
Lightweight Micro-Expression Recognition on Composite Database
inferred← citeshttps://doi.org/10.3390/s22176595openalex-snapshot
MEST: An Action Recognition Network with Motion Encoder and Spatio-Temporal Module
inferred← citeshttps://doi.org/10.3390/s25206276openalex-snapshot
M3ENet: A Multi-Modal Fusion Network for Efficient Micro-Expression Recognition
inferred← citeshttps://doi.org/10.7759/s44404-026-00184-zopenalex-snapshot
Adaptive Attention-Based Marketing: A Review of Emotion- and Context-Aware Approaches for Mobile App Engagement Optimization
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.