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Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471667196.ess1914.pub2openalex-snapshot
Partial Least Squares
inferredcites →https://doi.org/10.1006/jmva.1999.1853openalex-snapshot
Multivariate Normal Distributions Parametrized as a Riemannian Symmetric Space
inferredcites →https://doi.org/10.1007/11752790_2openalex-snapshot
Overview and Recent Advances in Partial Least Squares
inferredcites →https://doi.org/10.1007/3-540-47977-5_56openalex-snapshot
Face Recognition from Long-Term Observations
inferredcites →https://doi.org/10.1007/s11263-005-3222-zopenalex-snapshot
A Riemannian Framework for Tensor Computing
inferredcites →https://doi.org/10.1016/j.imavis.2008.08.005openalex-snapshot
Facial expression recognition based on Local Binary Patterns: A comprehensive study
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/afgr.1998.670968openalex-snapshot
Face recognition using temporal image sequence
inferredcites →https://doi.org/10.1109/cvpr.2005.151openalex-snapshot
Face Recognition with Image Sets Using Manifold Density Divergence
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2007.383059openalex-snapshot
Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995564openalex-snapshot
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching
inferredcites →https://doi.org/10.1109/cvpr.2012.6247965openalex-snapshot
Covariance discriminative learning: A natural and efficient approach to image set classification
inferredcites →https://doi.org/10.1109/cvpr.2012.6247974openalex-snapshot
Learning active facial patches for expression analysis
inferredcites →https://doi.org/10.1109/cvpr.2013.233openalex-snapshot
Kernel Learning for Extrinsic Classification of Manifold Features
inferredcites →https://doi.org/10.1109/cvpr.2014.226openalex-snapshot
Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/fg.2011.5771366openalex-snapshot
Emotion recognition using PHOG and LPQ features
inferredcites →https://doi.org/10.1109/fg.2011.5771374openalex-snapshot
The first facial expression recognition and analysis challenge
inferredcites →https://doi.org/10.1109/fg.2013.6553734openalex-snapshot
AU-aware Deep Networks for facial expression recognition
inferredcites →https://doi.org/10.1109/iccv.2013.212openalex-snapshot
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models
inferredcites →https://doi.org/10.1109/mmul.2012.26openalex-snapshot
Collecting Large, Richly Annotated Facial-Expression Databases from Movies
inferredcites →https://doi.org/10.1109/tmm.2012.2186121openalex-snapshot
Finding Celebrities in Billions of Web Images
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.2008.52openalex-snapshot
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
inferredcites →https://doi.org/10.1113/jphysiol.1968.sp008455openalex-snapshot
Receptive fields and functional architecture of monkey striate cortex
inferredcites →https://doi.org/10.1137/050637996openalex-snapshot
Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices
inferredcites →https://doi.org/10.1145/1390156.1390204openalex-snapshot
Grassmann discriminant analysis
inferredcites →https://doi.org/10.1145/2522848.2531738openalex-snapshot
Partial least squares regression on grassmannian manifold for emotion recognition
inferredcites →https://doi.org/10.1145/2522848.2531739openalex-snapshot
Emotion recognition in the wild challenge 2013
inferredcites →https://doi.org/10.1145/2522848.2531741openalex-snapshot
Multiple kernel learning for emotion recognition in the wild
inferredcites →https://doi.org/10.1145/2663204.2666275openalex-snapshot
Emotion Recognition In The Wild Challenge 2014
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.5555/1390681.1442794openalex-snapshot
LIBLINEAR: A Library for Large Linear Classification
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.4120087openalex-extracted
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inferred← citeshttps://doi.org/10.2139/ssrn.4768851openalex-extracted
Noise-Reduced Dynamic Face Expression Identification with Frame-Level Attention and Global-Segment-Level Recognition
inferred← citeshttps://doi.org/10.1002/cpe.5764openalex-snapshot
A multiple feature fusion framework for video emotion recognition in the wild
inferred← citeshttps://doi.org/10.1007/978-3-030-05921-7_29openalex-snapshot
Facial Expression Recognition in Ageing Adults: A Comparative Study
inferred← citeshttps://doi.org/10.1007/978-3-030-12385-7_5openalex-snapshot
Facial Expression Recognition and Analysis of Interclass False Positives Using CNN
inferred← citeshttps://doi.org/10.1007/978-3-030-26756-8_18openalex-snapshot
Effective Facial Expression Recognition Through Multimodal Imaging for Traumatic Brain Injured Patient’s Rehabilitation
inferred← citeshttps://doi.org/10.1007/978-3-030-29852-4_16openalex-snapshot
Spontaneous Emotion Recognition in Response to Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-51870-7_15openalex-snapshot
Learning Approaches for Facial Expression Recognition in Ageing Adults: A Comparative Study
inferred← citeshttps://doi.org/10.1007/978-3-030-63007-2_45openalex-snapshot
A Hybrid Method of Facial Expressions Recognition in the Pictures
inferred← citeshttps://doi.org/10.1007/978-3-030-63307-3_6openalex-snapshot
SAKHA: An Artificial Intelligence Enabled VisualBOT for Health and Mental Wellbeing During COVID’19 Pandemic
inferred← citeshttps://doi.org/10.1007/978-3-030-98015-3_32openalex-snapshot
Evaluation of the Off-the-Shelf CNNs for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-53308-2_4openalex-snapshot
Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition
inferred← citeshttps://doi.org/10.1007/978-3-319-56687-0_8openalex-snapshot
End to End Deep Learning for Single Step Real-Time Facial Expression Recognition
inferred← citeshttps://doi.org/10.1007/978-3-319-71928-3_2openalex-snapshot
Emotion Recognition Through Facial Gestures - A Deep Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-77380-3_20openalex-snapshot
Multimodal Fusion of Spatial-Temporal Features for Emotion Recognition in the Wild
inferred← citeshttps://doi.org/10.1007/978-981-10-3005-5_57openalex-snapshot
Audio Visual Recognition of Spontaneous Emotions In-the-Wild
inferred← citeshttps://doi.org/10.1007/978-981-15-2810-1_27openalex-snapshot
A Novel Video Emotion Recognition System in the Wild Using a Random Forest Classifier
inferred← citeshttps://doi.org/10.1007/978-981-16-1574-0_12openalex-snapshot
Artificial Intelligence Techniques in Medical Imaging for Detection of Coronavirus (COVID-19/SARS-COV-2): A Brief Survey
inferred← citeshttps://doi.org/10.1007/978-981-16-8542-2_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-0856-1_18openalex-snapshot
Subjective and Objective Emotional Consistency Assessment for UGC Short Videos
inferred← citeshttps://doi.org/10.1007/s10043-022-00734-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10044-021-00988-8openalex-snapshot
Deep transfer learning in human–robot interaction for cognitive and physical rehabilitation purposes
inferred← citeshttps://doi.org/10.1007/s10772-022-09981-wopenalex-snapshot
A multi-modal deep learning system for Arabic emotion recognition
inferred← citeshttps://doi.org/10.1007/s11042-019-7667-4openalex-snapshot
A novel deep network architecture for reconstructing RGB facial images from thermal for face recognition
inferred← citeshttps://doi.org/10.1007/s11042-022-12321-4openalex-snapshot
Global and local fusion ensemble network for facial expression recognition
inferred← citeshttps://doi.org/10.1007/s11390-020-9665-4openalex-snapshot
Comparison Between Deep Learning Models and Traditional Machine Learning Approaches for Facial Expression Recognition in Ageing Adults
inferred← citeshttps://doi.org/10.1007/s12193-015-0175-6openalex-snapshot
Combining modality-specific extreme learning machines for emotion recognition in the wild
inferred← citeshttps://doi.org/10.1007/s12193-015-0195-2openalex-snapshot
EmoNets: Multimodal deep learning approaches for emotion recognition in video
inferred← citeshttps://doi.org/10.1007/s12193-015-0202-7openalex-snapshot
Revisiting the EmotiW challenge: how wild is it really?
inferred← citeshttps://doi.org/10.1007/s12193-015-0203-6openalex-snapshot
Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild
inferred← citeshttps://doi.org/10.1007/s12193-015-0204-5openalex-snapshot
Video modeling and learning on Riemannian manifold for emotion recognition in the wild
inferred← citeshttps://doi.org/10.1007/s12193-015-0209-0openalex-snapshot
Hierarchical committee of deep convolutional neural networks for robust facial expression recognition
inferred← citeshttps://doi.org/10.1007/s12193-015-0210-7openalex-snapshot
Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis
inferred← citeshttps://doi.org/10.1007/s12193-016-0213-zopenalex-snapshot
Emotion recognition in the wild
inferred← citeshttps://doi.org/10.1007/s12559-017-9472-6openalex-snapshot
Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1007/s12559-021-09843-8openalex-snapshot
Cascade Regression-Based Face Frontalization for Dynamic Facial Expression Analysis
inferred← citeshttps://doi.org/10.1007/s12652-016-0406-zopenalex-snapshot
CHEAVD: a Chinese natural emotional audio–visual database
inferred← citeshttps://doi.org/10.1007/s13198-024-02382-zopenalex-snapshot
Deep dual domain joint discriminant feature framework for emotion based music player
inferred← citeshttps://doi.org/10.1007/s13369-018-3132-3openalex-snapshot
A Discriminative Face Geometric Feature-Based Face Recognition
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.08.025openalex-snapshot
Hybrid deep neural network model for human action recognition
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105052openalex-snapshot
Multimodal emotion recognition based on audio and text by using hybrid attention networks
inferred← citeshttps://doi.org/10.1016/j.cviu.2015.08.006openalex-snapshot
Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.03.017openalex-snapshot
Hybrid feature-based analysis of video’s affective content using protagonist detection
inferred← citeshttps://doi.org/10.1016/j.imavis.2017.01.012openalex-snapshot
Video-based emotion recognition in the wild using deep transfer learning and score fusion
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.05.004openalex-snapshot
Histogram distance metric learning for facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.103018openalex-snapshot
Facial expression recognition using frequency multiplication network with uniform rectangular features
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.07.028openalex-snapshot
Spatio-temporal convolutional features with nested LSTM for facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.10.017openalex-snapshot
Illumination invariants in deep video expression recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108646openalex-snapshot
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.04.010openalex-snapshot
Hybrid deep neural networks for face emotion recognition
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.01.008openalex-snapshot
Extended deep neural network for facial emotion recognition
inferred← citeshttps://doi.org/10.1038/s41598-024-73452-2openalex-snapshot
A novel hybrid deep learning IChOA-CNN-LSTM model for modality-enriched and multilingual emotion recognition in social media
inferred← citeshttps://doi.org/10.1049/el.2016.1211openalex-snapshot
Double sparse learning model for speech emotion recognition
inferred← citeshttps://doi.org/10.1063/5.0225814openalex-snapshot
Emotional detection system using machine learning
inferred← citeshttps://doi.org/10.1093/comjnl/bxz103openalex-snapshot
Stochastic Gradient Descent–Whale Optimization Algorithm-Based Deep Convolutional Neural Network To Crowd Emotion Understanding
inferred← citeshttps://doi.org/10.1109/access.2021.3075389openalex-snapshot
Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization
inferred← citeshttps://doi.org/10.1109/access.2021.3102042openalex-snapshot
An Automatic Multimedia Likability Prediction System Based on Facial Expression of Observer
inferred← citeshttps://doi.org/10.1109/access.2023.3327900openalex-snapshot
Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition
inferred← citeshttps://doi.org/10.1109/aciiasia.2018.8470372openalex-snapshot
Context-aware Cascade Attention-based RNN for Video Emotion Recognition
inferred← citeshttps://doi.org/10.1109/aciiasia.2018.8470379openalex-snapshot
Chinese Multimodal Emotion Recognition in Deep and Traditional Machine Leaming Approaches
inferred← citeshttps://doi.org/10.1109/aciiasia.2018.8470384openalex-snapshot
Video-Based Emotion Recognition using Face Frontalization and Deep Spatiotemporal Feature
inferred← citeshttps://doi.org/10.1109/acssc.2016.7869079openalex-snapshot
Transfer of multimodal emotion features in deep belief networks
inferred← citeshttps://doi.org/10.1109/aiccsa53542.2021.9686927openalex-snapshot
Towards a deep neural method based on freezing layers for in-the-wild facial emotion recognition
inferred← citeshttps://doi.org/10.1109/bci51272.2021.9385305openalex-snapshot
Rank-based Discriminative Feature Learning for Motor Imagery Classification in EEG signals
inferred← citeshttps://doi.org/10.1109/cisp-bmei.2017.8301997openalex-snapshot
Convolutional neural networks and feature fusion for bimodal emotion recognition on the emotiW 2016 challenge
inferred← citeshttps://doi.org/10.1109/cspc.2017.8305872openalex-snapshot
Facial emotion analysis using deep convolution neural network
inferred← citeshttps://doi.org/10.1109/cvprw.2018.00077openalex-snapshot
Covariance Pooling for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00087openalex-snapshot
Video-Based Action Recognition Using Dimension Reduction of Deep Covariance Trajectories
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00112openalex-snapshot
FERAtt: Facial Expression Recognition With Attention Net
inferred← citeshttps://doi.org/10.1109/fg.2018.00068openalex-snapshot
Hand-Crafted Feature Guided Deep Learning for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/fg.2019.8756551openalex-snapshot
Visual Scene-aware Hybrid Neural Network Architecture for Video-based Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/fg47880.2020.00084openalex-snapshot
Real-time Facial Expression Recognition “In The Wild” by Disentangling 3D Expression from Identity
inferred← citeshttps://doi.org/10.1109/globalsip45357.2019.8969360openalex-snapshot
Extracting Audio-Visual Features for Emotion Recognition Through Active Feature Selection
inferred← citeshttps://doi.org/10.1109/icaccs.2019.8728386openalex-snapshot
Characterization of Facial Expression using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/icassp.2016.7472178openalex-snapshot
Long short term memory recurrent neural network based encoding method for emotion recognition in video
inferred← citeshttps://doi.org/10.1109/icassp.2016.7472926openalex-snapshot
Combining multiple kernel models for automatic intelligibility detection of pathological speech
inferred← citeshttps://doi.org/10.1109/icassp.2018.8462171openalex-snapshot
On-Talk and Off-Talk Detection: A Discrete Wavelet Transform Analysis of Electroencephalogram
inferred← citeshttps://doi.org/10.1109/icassp.2019.8682974openalex-snapshot
Attitude Recognition Using Multi-resolution Cochleagram Features
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053762openalex-snapshot
Multimodal Transformer Fusion for Continuous Emotion Recognition
inferred← citeshttps://doi.org/10.1109/iccmc.2017.8282636openalex-snapshot
A systematic survey of facial expression recognition techniques
inferred← citeshttps://doi.org/10.1109/iccst50977.2020.00124openalex-snapshot
Research on the Phonetic Emotion Recognition Model of Mandarin Chinese
inferred← citeshttps://doi.org/10.1109/iccv.2017.462openalex-snapshot
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning
inferred← citeshttps://doi.org/10.1109/iccvw.2017.372openalex-snapshot
Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions
inferred← citeshttps://doi.org/10.1109/icicict1.2017.8342699openalex-snapshot
Determine attention of faces through growing level of emotion using deep Convolution Neural Network
inferred← citeshttps://doi.org/10.1109/icip.2018.8451223openalex-snapshot
Rehabilitation of Traumatic Brain Injured Patients: Patient Mood Analysis from Multimodal Video
inferred← citeshttps://doi.org/10.1109/icmla.2016.0147openalex-snapshot
Spontaneous Facial Expression Recognition: A Part Based Approach
inferred← citeshttps://doi.org/10.1109/icnc52316.2021.9608488openalex-snapshot
A Lightweight Multi-modal Emotion Recognition Network Based on Multi-task Learning
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412664openalex-snapshot
Nonlinear Ranking Loss on Riemannian Potato Embedding
inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727297openalex-snapshot
Learning auditory neural representations for emotion recognition
inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7965832openalex-snapshot
A self-organizing model for affective memory
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207250openalex-snapshot
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229091openalex-snapshot
Learning a Discriminative Grassmannian Neural Network for Visual Classification
inferred← citeshttps://doi.org/10.1109/intellisys.2017.8324224openalex-snapshot
Multimodal fusion based on information gain for emotion recognition in the wild
inferred← citeshttps://doi.org/10.1109/ism46123.2019.00071openalex-snapshot
A CNN-Based Tool to Index Emotion on Anime Character Stickers
inferred← citeshttps://doi.org/10.1109/melcon.2016.7495381openalex-snapshot
High dimensional local binary patterns for facial expression recognition in the wild
inferred← citeshttps://doi.org/10.1109/ojsp.2025.3530274openalex-snapshot
Jointly Learning From Unimodal and Multimodal-Rated Labels in Audio-Visual Emotion Recognition
inferred← citeshttps://doi.org/10.1109/ojsp.2025.3648710openalex-snapshot
Contextual Attention for Robust Audio-Visual Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taffc.2016.2593719openalex-snapshot
Facial Expression Recognition in Video with Multiple Feature Fusion
inferred← citeshttps://doi.org/10.1109/taffc.2017.2713355openalex-snapshot
Multi-Velocity Neural Networks for Facial Expression Recognition in Videos
inferred← citeshttps://doi.org/10.1109/taffc.2018.2874996openalex-snapshot
Automatic Recognition of Facial Displays of Unfelt Emotions
inferred← citeshttps://doi.org/10.1109/taffc.2018.2890471openalex-snapshot
Deep Learning for Human Affect Recognition: Insights and New Developments
inferred← citeshttps://doi.org/10.1109/taffc.2020.2981446openalex-snapshot
Deep Facial Expression Recognition: A Survey
inferred← citeshttps://doi.org/10.1109/taffc.2021.3060877openalex-snapshot
The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games
inferred← citeshttps://doi.org/10.1109/taffc.2022.3216993openalex-snapshot
Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features
inferred← citeshttps://doi.org/10.1109/tcss.2024.3355113openalex-snapshot
Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2925095openalex-snapshot
Adaptive Weighting of Handcrafted Feature Losses for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/tfuzz.2017.2647966openalex-snapshot
Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets
inferred← citeshttps://doi.org/10.1109/tip.2016.2537215openalex-snapshot
Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation
inferred← citeshttps://doi.org/10.1109/tmm.2016.2557721openalex-snapshot
Sparse Kernel Reduced-Rank Regression for Bimodal Emotion Recognition From Facial Expression and Speech
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2939177openalex-snapshot
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2947244openalex-snapshot
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1109/tpami.2017.2776154openalex-snapshot
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video
inferred← citeshttps://doi.org/10.1109/wacv.2016.7477450openalex-snapshot
Going deeper in facial expression recognition using deep neural networks
inferred← citeshttps://doi.org/10.1109/wcsp.2017.8170910openalex-snapshot
Expression recognition in the wild with transfer learning
inferred← citeshttps://doi.org/10.1117/1.jei.25.6.061407openalex-snapshot
Facial expression recognition in the wild based on multimodal texture features
inferred← citeshttps://doi.org/10.1145/2663204.2666273openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2808196.2811636openalex-snapshot
Multimodal Affective Analysis combining Regularized Linear Regression and Boosted Regression Trees
inferred← citeshttps://doi.org/10.1145/2813524.2813526openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2818346.2820773openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2818346.2829994openalex-snapshot
Video and Image based Emotion Recognition Challenges in the Wild
inferred← citeshttps://doi.org/10.1145/2818346.2830582openalex-snapshot
Multiple Models Fusion for Emotion Recognition in the Wild
inferred← citeshttps://doi.org/10.1145/2818346.2830583openalex-snapshot
A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition
inferred← citeshttps://doi.org/10.1145/2818346.2830585openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2818346.2830592openalex-snapshot
Quantification of Cinematography Semiotics for Video-based Facial Emotion Recognition in the EmotiW 2015 Grand Challenge
inferred← citeshttps://doi.org/10.1145/2818346.2830593openalex-snapshot
Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning
inferred← citeshttps://doi.org/10.1145/2818346.2830594openalex-snapshot
Affect Recognition using Key Frame Selection based on Minimum Sparse Reconstruction
inferred← citeshttps://doi.org/10.1145/2818346.2830595openalex-snapshot
Image based Static Facial Expression Recognition with Multiple Deep Network Learning
inferred← citeshttps://doi.org/10.1145/2818346.2830596openalex-snapshot
Recurrent Neural Networks for Emotion Recognition in Video
inferred← citeshttps://doi.org/10.1145/2993148.2997626openalex-snapshot
Wild wild emotion: a multimodal ensemble approach
inferred← citeshttps://doi.org/10.1145/2993148.2997631openalex-snapshot
Multi-view common space learning for emotion recognition in the wild
inferred← citeshttps://doi.org/10.1145/2993148.2997632openalex-snapshot
Video-based emotion recognition using CNN-RNN and C3D hybrid networks
inferred← citeshttps://doi.org/10.1145/2993148.2997634openalex-snapshot
Automatic emotion recognition in the wild using an ensemble of static and dynamic representations
inferred← citeshttps://doi.org/10.1145/2993148.2997637openalex-snapshot
Audio and face video emotion recognition in the wild using deep neural networks and small datasets
inferred← citeshttps://doi.org/10.1145/2993148.2997638openalex-snapshot
EmotiW 2016: video and group-level emotion recognition challenges
inferred← citeshttps://doi.org/10.1145/2993148.2997639openalex-snapshot
HoloNet: towards robust emotion recognition in the wild
inferred← citeshttps://doi.org/10.1145/3011263.3011270openalex-snapshot
Attitude recognition of video bloggers using audio-visual descriptors
inferred← citeshttps://doi.org/10.1145/3107990.3107998openalex-snapshot
Multimodal-multisensor affect detection
inferred← citeshttps://doi.org/10.1145/3133944.3133946openalex-snapshot
Continuous Multimodal Emotion Prediction Based on Long Short Term Memory Recurrent Neural Network
inferred← citeshttps://doi.org/10.1145/3136755.3143004openalex-snapshot
From individual to group-level emotion recognition: EmotiW 5.0
inferred← citeshttps://doi.org/10.1145/3136755.3143009openalex-snapshot
Learning supervised scoring ensemble for emotion recognition in the wild
inferred← citeshttps://doi.org/10.1145/3158369openalex-snapshot
Facial Expression Analysis under Partial Occlusion
inferred← citeshttps://doi.org/10.1145/3184066.3184086openalex-snapshot
Audio-based emotion recognition using GMM supervector an SVM linear kernel
inferred← citeshttps://doi.org/10.1145/3405962.3405974openalex-snapshot
Rough Set & Riemannian Covariance Matrix Theory for Mining the Multidimensionality of Artificial Consciousness
inferred← citeshttps://doi.org/10.1145/3474085.3475292openalex-snapshot
Former-DFER: Dynamic Facial Expression Recognition Transformer
inferred← citeshttps://doi.org/10.1145/3502398.3502400openalex-snapshot
Introduction to Applied Affective Computing
inferred← citeshttps://doi.org/10.1145/3502398.3502401openalex-snapshot
Emotions as Studied in Psychology and Cognitive Science
inferred← citeshttps://doi.org/10.1145/3502398.3502402openalex-snapshot
Machine Learning Approaches for Applied Affective Computing
inferred← citeshttps://doi.org/10.1145/3502398.3502403openalex-snapshot
Multimodal Data Collection and Processing for Applied Affective Computing
inferred← citeshttps://doi.org/10.1145/3502398.3502404openalex-snapshot
Emotion Recognition in the Wild
inferred← citeshttps://doi.org/10.1145/3502398.3502405openalex-snapshot
Reinforcement Learning and Affective Computing
inferred← citeshttps://doi.org/10.1145/3502398.3502406openalex-snapshot
Synthesizing Natural and Believable Emotional Expressions
inferred← citeshttps://doi.org/10.1145/3502398.3502407openalex-snapshot
Emotion-aware Human–Robot Interaction and Social Robots
inferred← citeshttps://doi.org/10.1145/3502398.3502408openalex-snapshot
Affective Computing for Enhancing Well-Being
inferred← citeshttps://doi.org/10.1145/3502398.3502409openalex-snapshot
Applied Affective Computing in Built Environments
inferred← citeshttps://doi.org/10.1145/3502398.3502410openalex-snapshot
Addressing Ethical Issues of Affective Computing
inferred← citeshttps://doi.org/10.1145/3502398.3502411openalex-snapshot
Future of Affective Computing and Applied Affective Computing
inferred← citeshttps://doi.org/10.1145/3708498openalex-snapshot
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
inferred← citeshttps://doi.org/10.1155/2021/5585041openalex-snapshot
Hierarchical Attention‐Based Multimodal Fusion Network for Video Emotion Recognition
inferred← citeshttps://doi.org/10.1155/2021/8893661openalex-snapshot
Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition In‐the‐Wild
inferred← citeshttps://doi.org/10.1177/1059712316664017openalex-snapshot
Developing crossmodal expression recognition based on a deep neural model
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v7i5p107openalex-snapshot
Feature Extraction Technique for Emotion Detection using Machine Learning
inferred← citeshttps://doi.org/10.1609/aaai.v32i1.11725openalex-snapshot
Building Deep Networks on Grassmann Manifolds
inferred← citeshttps://doi.org/10.17771/pucrio.acad.61995openalex-snapshot
CLASSIFYING IMAGES WITH UNCLEAR PATTERNS: FROM VISUAL FEATURES TO NARRATIVE IMPORTANCE
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.39openalex-snapshot
Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition
inferred← citeshttps://doi.org/10.18653/v1/s16-1008openalex-snapshot
I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter
inferred← citeshttps://doi.org/10.19101/ijacr.2019.940117openalex-snapshot
Latest trends in emotion recognition methods: case study on emotiw challenge
inferred← citeshttps://doi.org/10.21437/interspeech.2015-193openalex-snapshot
Fisher vectors with cascaded normalization for paralinguistic analysis
inferred← citeshttps://doi.org/10.2196/preprints.33021openalex-snapshot
Web application to support evidence of individual emotional impact evoked by COVID-19 pandemic restrictions (Preprint)
inferred← citeshttps://doi.org/10.23919/chicc.2019.8866235openalex-snapshot
Convolutional Gate Recurrent Unit for Video Facial Expression Recognition in the Wild
inferred← citeshttps://doi.org/10.23919/fusion43075.2019.9011413openalex-snapshot
An End-to-End Deep Neural Network for Facial Emotion Classification
inferred← citeshttps://doi.org/10.26481/dis.20210708egopenalex-snapshot
Bimodal emotion recognition through audio-visual cues
inferred← citeshttps://doi.org/10.3233/jifs-169514openalex-snapshot
Recognition of learning-centered emotions using a convolutional neural network
inferred← citeshttps://doi.org/10.3390/app9214678openalex-snapshot
Facial Expression Recognition Using Computer Vision: A Systematic Review
inferred← citeshttps://doi.org/10.3390/rs13224537openalex-snapshot
Knowledge Distillation of Grassmann Manifold Network for Remote Sensing Scene Classification
inferred← citeshttps://doi.org/10.3390/s19081863openalex-snapshot
A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data
inferred← citeshttps://doi.org/10.3390/s20174727openalex-snapshot
End-to-End Training for Compound Expression Recognition
inferred← citeshttps://doi.org/10.3390/s20185184openalex-snapshot
Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition
inferred← citeshttps://doi.org/10.3390/s21144913openalex-snapshot
Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion
inferred← citeshttps://doi.org/10.35193/bseufbd.645138openalex-snapshot
Yeni Bir Veri Kümesi (RidNet) Kullanarak Kontrolsüz Ortamda Yüz İfadesi Tanımanın Derin Öğrenme Yöntemleri ile İyileştirilmesi
inferred← citeshttps://doi.org/10.48550/arxiv.1603.06531openalex-snapshot
Deep video gesture recognition using illumination invariants
inferred← citeshttps://doi.org/10.48550/arxiv.1603.06829openalex-snapshot
Multi-velocity neural networks for gesture recognition in videos
inferred← citeshttps://doi.org/10.48550/arxiv.1603.08321openalex-snapshot
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention
inferred← citeshttps://doi.org/10.48550/arxiv.1805.03869openalex-snapshot
Deep Covariance Descriptors for Facial Expression Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.1809.06225openalex-snapshot
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.1901.11179openalex-snapshot
Human Face Expressions from Images - 2D Face Geometry and 3D Face Local Motion versus Deep Neural Features
inferred← citeshttps://doi.org/10.48550/arxiv.2002.09023openalex-snapshot
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2005.07649openalex-snapshot
Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion
inferred← citeshttps://doi.org/10.54337/aau460118975openalex-snapshot
Facial Emotion Recognition for Citizens with Traumatic Brain Injury for Therapeutic Robot Interaction
inferred← citeshttps://doi.org/10.70675/8a22a6caz95d0z4cb8zaeadz043ba01a754dopenalex-snapshot
Reading Faces. Using Hard Multi-Task Metric Learning for Kernel Regression
inferred← citeshttps://doi.org/10.70675/b81d3cb8z8d1ez499fz9e2fzf488b5c2120fopenalex-snapshot
Analyse des médias sociaux de santé pour évaluer la qualité de vie des patientes atteintes d’un cancer du sein
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