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LSTM for dynamic emotion and group 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/10.1007/978-3-642-21227-7_34openalex-snapshot

Volume Local Phase Quantization for Blur-Insensitive Dynamic Texture Classification

inferredcites →https://doi.org/10.1007/978-3-642-33868-7_25openalex-snapshot

Exploring Bag of Words Architectures in the Facial Expression Domain

inferredcites →https://doi.org/10.1007/978-3-642-42051-1_16openalex-snapshot

Challenges in Representation Learning: A Report on Three Machine Learning Contests

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot

ImageNet Large Scale Visual Recognition Challenge

inferredcites →https://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

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1038/nn1872openalex-snapshot

Musical experience shapes human brainstem encoding of linguistic pitch patterns

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot

Histograms of Oriented Gradients for Human Detection

inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

inferredcites →https://doi.org/10.1109/cvpr.2010.5540018openalex-snapshot

Locality-constrained Linear Coding for image classification

inferredcites →https://doi.org/10.1109/cvpr.2012.6248014openalex-snapshot

Face detection, pose estimation, and landmark localization in the wild

inferredcites →https://doi.org/10.1109/cvpr.2013.75openalex-snapshot

Supervised Descent Method and Its Applications to Face Alignment

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/icassp.2011.5946910openalex-snapshot

A method to infer emotions from facial Action Units

inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-snapshot

Object recognition from local scale-invariant features

inferredcites →https://doi.org/10.1109/iccvw.2011.6130508openalex-snapshot

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

inferredcites →https://doi.org/10.1109/icdar.1995.598994openalex-snapshot

Random decision forests

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/taffc.2015.2397456openalex-snapshot

Automatic Group Happiness Intensity Analysis

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/10.1117/1.jei.25.6.061407openalex-snapshot

Facial expression recognition in the wild based on multimodal texture features

inferredcites →https://doi.org/10.1145/1873951.1874246openalex-snapshot

Opensmile

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Vlfeat

inferredcites →https://doi.org/10.1145/2522848.2531741openalex-snapshot

Multiple kernel learning for emotion recognition in the wild

inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot

Caffe

inferredcites →https://doi.org/10.1145/2663204.2666272openalex-snapshot

Combining Multimodal Features with Hierarchical Classifier Fusion for Emotion Recognition in the Wild

inferredcites →https://doi.org/10.1145/2818346.2830583openalex-snapshot

A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.4324/9781315080918-15openalex-snapshot

Communication Without Words

inferredcites →https://doi.org/10.5281/zenodo.1416443openalex-snapshot

Mel Frequency Cepstral Coefficients For Music Modeling.

What points at this work

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

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Exploring the Possibilities of Incorporating Human Facial Emotions Using the Save Our Soul Emergency Calling System (Sos-Ecb) Used on Indian National Highways

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ODANet: Online Deep Appearance Network for Identity-Consistent Multi-person Tracking

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Dynamic-Static Cross Attentional Feature Fusion Method for Speech Emotion Recognition

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Implementation of a Neural Network for the Recognition of Emotional States by Social Robots, Using ‘OhBot’

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Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement

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Emotional sentiment analysis for a group of people based on transfer learning with a multi-modal system

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Time series-dependent feature of EEG signals for improved visually evoked emotion classification using EmotionCapsNet

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Cross-view adaptive graph attention network for dynamic facial expression recognition

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Impact of inquiry interventions on students in e-learning and classroom environments using affective computing framework

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A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification

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Enhancing highway safety with LSTM-based facial emotion recognition

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Cascade Regression-Based Face Frontalization for Dynamic Facial Expression Analysis

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Exploring emotion detection in Kashmiri audio reviews using the fusion model of CNN, LSTM, and RNN: gender-specific speech patterns and performance analysis

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Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

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A hybrid fusion model for group-level emotion recognition in complex scenarios

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A recent survey on perceived group sentiment analysis

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Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy

inferred← citeshttps://doi.org/10.1049/cvi2.12217openalex-snapshot

Dynamic facial expression recognition with pseudo‐label guided multi‐modal pre‐training

inferred← citeshttps://doi.org/10.1101/2023.04.28.23289168openalex-snapshot

Computer Vision Estimation of Stress and Anxiety Using a Gamified Mobile-based Ecological Momentary Assessment and Deep Learning: Research Protocol

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Spatiotemporal Contrastive Learning of Facial Expressions in Videos

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Video-based Emotion Recognition Using Multi-dichotomy RNN-DNN

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TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01783openalex-snapshot

Neuron Structure Modeling for Generalizable Remote Physiological Measurement

inferred← citeshttps://doi.org/10.1109/i-smac52330.2021.9640662openalex-snapshot

Retracted: Survey on Automatic Temperature and Face Detection using AI

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888975openalex-snapshot

Joint Multi-Scale Contextual and Noise Suppression for Group Emotion Recognition

inferred← citeshttps://doi.org/10.1109/iccvw.2017.372openalex-snapshot

Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions

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Automatic Group Affect Analysis in Images via Visual Attribute and Feature Networks

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A practical approach based on IoT, Video, Audio, and ITS for Micro-Sleep detection in public transportation systems

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Towards using visual attributes to infer image sentiment of social events

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Predicting Group Cohesiveness in Images

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Emotional Speaker Recognition based on Machine and Deep Learning

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Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks

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Hierarchical Style-Aware Domain Generalization for Remote Physiological Measurement

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Feature-Level and Model-Level Audiovisual Fusion for Emotion Recognition in the Wild

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Group-Level Emotion Recognition Using Hierarchical Dual-Branch Cross Transformer with Semi-Supervised Learning

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Recognizing Induced Emotions of Movie Audiences from Multimodal Information

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Analyzing Group-Level Emotion with Global Alignment Kernel based Approach

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Automatic Prediction of Group Cohesiveness in Images

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Automatic Emotion Recognition for Groups: A Review

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Implementing the Affective Mechanism for Group Emotion Recognition With a New Graph Convolutional Network Architecture

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A Self-Fusion Network Based on Contrastive Learning for Group Emotion Recognition

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Multimodal Spatiotemporal Semisupervised Transformer Network for Video-Based Group-Level Emotion Recognition

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A Survey on Deep Learning for Group-Level Emotion Recognition

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A Spatio-Temporal Approach for Apathy Classification

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Toward Children's Empathy Ability Analysis: Joint Facial Expression Recognition and Intensity Estimation Using Label Distribution Learning

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Multimodal Framework for Analyzing the Affect of a Group of People

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Hierarchical Group-Level Emotion Recognition

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Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases

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EmotiW 2016: video and group-level emotion recognition challenges

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Group-level emotion recognition using transfer learning from face identification

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Group emotion recognition with individual facial emotion CNNs and global image based CNNs

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Facial Expression Analysis under Partial Occlusion

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Group-Level Emotion Recognition using Deep Models with A Four-stream Hybrid Network

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Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues

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Sentiment Analysis in Outdoor Images Using Deep Learning

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Resolve Domain Conflicts for Generalizable Remote Physiological Measurement

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ARTIFICIAL AND DEEP KNOWLEDGE SPIRITUAL SPEAKER RECOGNITION

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EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition

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Feature Extraction via Recurrent Random Deep Ensembles and its Application in Gruop-level Happiness Estimation

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Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition

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Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks

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