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Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition

https://doi.org/10.1109/cvpr52729.2023.02115
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What this work says

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

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Optical Flow Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01225-0_39openalex-snapshot
Learning-Based Video Motion Magnification
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/s11042-017-5317-2openalex-snapshot
A survey: facial micro-expression recognition
inferredcites →https://doi.org/10.1016/j.image.2017.11.006openalex-snapshot
Less is more: Micro-expression recognition from video using apex frame
inferredcites →https://doi.org/10.1016/j.neucom.2019.03.082openalex-snapshot
AU R-CNN: Encoding expert prior knowledge into R-CNN for action unit detection
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.082openalex-snapshot
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
inferredcites →https://doi.org/10.1016/j.neucom.2021.03.058openalex-snapshot
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition
inferredcites →https://doi.org/10.1016/j.neunet.2022.06.024openalex-snapshot
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
inferredcites →https://doi.org/10.1016/j.patcog.2021.108275openalex-snapshot
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
inferredcites →https://doi.org/10.1037/h0030377openalex-snapshot
Constants across cultures in the face and emotion.
inferredcites →https://doi.org/10.1037/npe0000012openalex-snapshot
Predicting advertising effectiveness by facial expressions in response to amusing persuasive stimuli.
inferredcites →https://doi.org/10.1080/00332747.1969.11023575openalex-snapshot
Nonverbal Leakage and Clues to Deception †
inferredcites →https://doi.org/10.1109/cvpr.2011.5995345openalex-snapshot
Towards a practical lipreading system
inferredcites →https://doi.org/10.1109/cvpr.2016.331openalex-snapshot
Dynamic Image Networks for Action Recognition
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00173openalex-snapshot
Micro-expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion
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/fg.2019.8756544openalex-snapshot
CapsuleNet for Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/fg.2019.8756583openalex-snapshot
A Neural Micro-Expression Recognizer
inferredcites →https://doi.org/10.1109/fg.2019.8756611openalex-snapshot
MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge
inferredcites →https://doi.org/10.1109/iccv.2011.6126401openalex-snapshot
Recognising spontaneous facial micro-expressions
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/icip.2019.8802965openalex-snapshot
Dual-stream Shallow Networks for Facial Micro-expression Recognition
inferredcites →https://doi.org/10.1109/mmul.2020.3021659openalex-snapshot
AffectiveNet: Affective-Motion Feature Learning for Microexpression Recognition
inferredcites →https://doi.org/10.1109/taffc.2016.2573832openalex-snapshot
SAMM: A Spontaneous Micro-Facial Movement Dataset
inferredcites →https://doi.org/10.1109/taffc.2017.2667642openalex-snapshot
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods
inferredcites →https://doi.org/10.1109/taffc.2018.2854166openalex-snapshot
Sparse MDMO: Learning a Discriminative Feature for Spontaneous Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/taffc.2019.2949559openalex-snapshot
Micro and Macro Facial Expression Recognition Using Advanced Local Motion Patterns
inferredcites →https://doi.org/10.1109/taffc.2022.3143100openalex-snapshot
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
inferredcites →https://doi.org/10.1109/taffc.2022.3205170openalex-snapshot
Deep Learning for Micro-Expression Recognition: A Survey
inferredcites →https://doi.org/10.1109/taffc.2022.3213509openalex-snapshot
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/taffc.2022.3215918openalex-snapshot
Graph-Based Facial Affect Analysis: A Review
inferredcites →https://doi.org/10.1109/tip.2019.2912358openalex-snapshot
LEARNet: Dynamic Imaging Network for Micro Expression Recognition
inferredcites →https://doi.org/10.1109/tip.2020.3018222openalex-snapshot
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition
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/tkde.2020.2985365openalex-snapshot
Cross-Database Micro-Expression Recognition: A Benchmark
inferredcites →https://doi.org/10.1109/tmm.2019.2931351openalex-snapshot
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions
inferredcites →https://doi.org/10.1109/tpami.2021.3067464openalex-snapshot
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
inferredcites →https://doi.org/10.1145/3474085.3475439openalex-snapshot
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
inferredcites →https://doi.org/10.1145/3478513.3480565openalex-snapshot
Monte Carlo denoising via auxiliary feature guided self-attention
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
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/10.3390/make3020021openalex-snapshot
Review of Automatic Microexpression Recognition in the Past Decade
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2102.05095openalex-snapshot
Is Space-Time Attention All You Need for Video Understanding?
inferredcites →https://doi.org/10.48550/arxiv.2103.00112openalex-snapshot
Transformer in Transformer

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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HIM‐PyraNet: Hierarchical Attention and Region‐Focused Lightweight Network for Micro‐Expression Recognition
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MAMER-CLIP: Micro-expression Recognition Based on Motion-Aware Contrastive Language-Image Pretraining Model
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Enhanced Multi-scale Hierarchical Network for Micro-expression Recognition
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Fusion Network Based on Motion Learning and Image Feature Representation for Micro-Expression Recognition
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Enhancing micro-expression recognition via triple diversity feature augmentation in convolutional networks
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Dual-stream network with cross-layer attention and similarity constraint for micro-expression recognition
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A dual-branch approach with multi-stage semantic integration and dual optical flow for micro-expression recognition
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Feature trimming for lightweight micro-expression recognition
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Micro-expression recognition using quantitative feature validity and pseudo-emotion feature construction
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Multi-channel Capsule Network for Micro-expression Recognition with Multiscale Fusion
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Real-time microexpression recognition in educational scenarios using a dual-branch continuous attention network
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Micro-expression recognition using a multi-scale feature extraction network with attention mechanisms
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SDGSA: a lightweight shallow dual-group symmetric attention network for micro-expression recognition
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HFA-Net: hierarchical feature aggregation network for micro-expression recognition
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Meta-RL Based Micro-Expression Recognition Framework Using MAML with Calibrated Regression Function
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HCANet: An integrated convolution and attention network with half channel division for micro expression recognition
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SFML-Net: Spatial Feature-Guided motion learning network for micro-expression recognition
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Dictionary learning-based super-resolution restoration for detecting low-quality facial forged videos
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Micro-expression recognition based on adaptive amplification of dynamic weak texture information
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Micro-expression recognition based on a novel GCN-transformer cooperation model for IoT-eHealth
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DCE: Dynamic channel and spatial redundancy elimination for Micro-Expression recognition
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Transfer-learning enabled micro-expression recognition using dense connections and mixed attention
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Multimodal latent emotion recognition from micro-expression and physiological signal
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Temporal–spatial cross-fusion for dynamic micro expression recognition
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GSCL-RVT: Generalized supervised contrastive learning with global–local feature fusion for micro-expression recognition
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Micro-expression recognition through feature enhancement and region weighted fusion based on supervised contrastive learning
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Temporal-Polar Dynamics: Elevating Event-Based Micro-Expression Recognition
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Micro-Expression Recognition Using Convolutional Variational Attention Transformer (ConVAT) With Multihead Attention Mechanism
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Dynamic Temporal Attention Enhanced Multi-scale Hierarchical Network for Micro-expression Recognition
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Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
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Uncovering Hidden Emotions with Adaptive Multi-Attention Graph Networks
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Design and Analysis of Programmed Face Monitoring System
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Enhancing Micro-Expression Recognition with Broadbent Attention Mechanism: A High-Performance Approach for Emotion Detection
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MER-MFNet: Micro-Expression Recognition Based on Multimodal Fusion Network
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Facial Micro-Motion-Aware Mixup for Micro-Expression Recognition
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Causally Uncovering Bias in Video Micro-Expression Recognition
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LGTNet:A Dual-Branch Micro-Expression Recognition Network with Grouped Channel Attention And Deformable Windows
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Facial Micro-Expression Recognition via 3D Residual Magnification
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FED-PsyAU: Privacy-Preserving Micro-Expression Recognition Via Psychological Au Coordination and Dynamic Facial Motion Modeling
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CHTMAE: Cross-Modal Hierarchical Temporal-Spatial Masked Autoencoder Model for Micro-Expression Recognition
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TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder
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ESTME: Event-driven Spatio-temporal Motion Enhancement for Micro-Expression Recognition
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CI-MER: A Novel Causal Intervention Framework For Micro-Expression Recognition
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Microexpression to Macroexpression: Facial Expression Magnification by Single Input
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Joint Spotting and Recognition of Micro-Expressions in Long Videos via Temporal Representation Learning
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GTA: A Graph-Transformer Architecture for Micro-Expression Recognition
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PTANet: Micro-Expression Recognition with Polarized Attention and Multi-Scale Aggregation
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Hierarchical Dual-Branch Attention Transformer for Micro-Expression Recognition
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ATOM-Net: Transferring Macro-Expression Muscle Dynamics for Micro-Expression Recognition
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Weighted Macro-Expression Guided Transitional Cross-Domain Learning for Micro-Expression Recognition
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Channel Self-Attention Residual Network: Learning Micro-Expression Recognition Features From Augmented Motion Flow Images
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MER-CLIP: AU-Guided Vision-Language Alignment for Micro-Expression Recognition
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PME-MER: Efficient Position and Motion Encoder for Micro-Expression Recognition
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EEG- and Micro-Expression-Based Emotion Recognition and Consciousness Detection
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Evaluating and Correcting Human Annotation Bias in Dynamic Micro-Expression Recognition
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Modeling Continuous Weak Temporal Trends for Video-Based Micro-Expression Recognition
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Enhanced Dynamic Representation via Gradient-Motion Modeling for Micro-Expression Recognition
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Advancing Micro-Expression Recognition: A Task-Specific Framework Integrating Frequency Analysis and Structural Embedding
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Incremental Micro-Expression Recognition: A Benchmark
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TGRF-Net: Text-Semantic Guided Region Focused Network for Micro-Expression Recognition
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Structure Representation With Adaptive and Compact Facial Graph for Micro-Expression Recognition
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Micro-Expression Classification With Weighted Locally Constrained Graph Network
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Point-Supervised Facial Expression Spotting With Gaussian-Based Instance-Adaptive Intensity Modeling
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MFDAN: Multi-Level Flow-Driven Attention Network for Micro-Expression Recognition
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Detecting Deceptive Behavior via Learning Relation-Aware Visual Representations
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Disentangled Representation Learning for Controllable Person Image Generation
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Motion-Aware Representation Network for Micro-Expression Recognition
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MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution
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CDTFusion: Crossing Domain and Task for Infrared and Visible Image Fusion
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Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer
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MicroMamba: State Space Model with Partitioned Window Scan for Micro-Expression Recognition
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MRFNet:Muscle Motion and Facial Region Relationships Fusion for Enhanced Micro-expression Recognition
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Perception and Structure Association Network for Micro-Expression Recognition
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PTSR: A Unified Patch Tokenization, Selection and Representation Framework for Efficient Micro-expression Recognition
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Action Unit Enhance Dynamic Facial Expression Recognition
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Regulatory Focus Theory Induced Micro-Expression Analysis with Structured Representation Learning
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ME-NAS: A Micro Expression Feature Adaptive Neural Architecture Search
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Objective Class-Based Micro-Expression Recognition Through Simultaneous Action Unit Detection and Feature Aggregation
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Towards Federated Learning Driving Technology for Privacy-Preserving Micro-Expression Recognition
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Learnable Feature Disentanglement with Temporal-Complemented Motion Enhancement for Micro-Expression Recognition
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Dual-Branch Cross-Attention Network for Micro-Expression Recognition with Transformer Variants
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Micro-Expression Recognition Algorithm Using Regions of Interest and the Weighted ArcFace Loss
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PAST: Prior-Aware Sparse Transformer for Micro-Expression Recognition
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Two-Level Spatio-Temporal Feature Fused Two-Stream Network for Micro-Expression Recognition
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HMRM: A Hybrid Motion and Region-Fused Mamba Network for Micro-Expression Recognition
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