ERD

Affective Image Content Analysis: A Comprehensive Survey

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

300 Faces In-The-Wild Challenge: database and results

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Robust statistical frontalization of human and animal faces

Project: SEWA

Updated at: 29-04-2024

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Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units

Project: SEWA

Updated at: 29-04-2024

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Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation

Project: SEWA

Updated at: 29-04-2024

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FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge

Project: SEWA

Updated at: 29-04-2024

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Gaussian Process Domain Experts for Modeling of Facial Affect

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Nonnegative Decompositions for Dynamic Visual Data Analysis

Project: SEWA

Updated at: 29-04-2024

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A survey of multimodal sentiment analysis

Project: SEWA

Updated at: 29-04-2024

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Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Deep Structured Learning for Facial Action Unit Intensity Estimation

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Automatic Analysis of Facial Actions: A Survey

Project: SEWA

Updated at: 29-04-2024

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A Bag-of-Audio-Words Approach for Snore Sounds’ Excitation Localisation

Project: SEWA

Updated at: 29-04-2024

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Variable-state Latent Conditional Random Field models for facial expression analysis

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis

Project: SEWA

Updated at: 29-04-2024

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From Hard to Soft - Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

TensorLy: Tensor Learning in Python.

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

“You sound ill, take the day off”: Automatic recognition of speech affected by upper respiratory tract infection

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Behavioral cues help predict impact of advertising on future sales

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Recognising Guitar Effects – Which Acoustic Features Really Matter?

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Robust Correlated and Individual Component Analysis

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Towards a Common Linked Data Model for Sentiment and Emotion Analysis

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Netwo...

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Resources

Selected filters:

Affective Image Content Analysis: A Comprehensive Survey

300 Faces In-The-Wild Challenge: database and results

Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition

Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models

Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images

Robust statistical frontalization of human and animal faces

Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units

Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation

FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge

Gaussian Process Domain Experts for Modeling of Facial Affect

Nonnegative Decompositions for Dynamic Visual Data Analysis

A survey of multimodal sentiment analysis

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning

Deep Structured Learning for Facial Action Unit Intensity Estimation

Automatic Analysis of Facial Actions: A Survey

A Bag-of-Audio-Words Approach for Snore Sounds’ Excitation Localisation

Variable-state Latent Conditional Random Field models for facial expression analysis

Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis

From Hard to Soft - Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty

TensorLy: Tensor Learning in Python.

“You sound ill, take the day off”: Automatic recognition of speech affected by upper respiratory tract infection

Behavioral cues help predict impact of advertising on future sales

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge

Recognising Guitar Effects – Which Acoustic Features Really Matter?

Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data

Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio

Robust Correlated and Individual Component Analysis

A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity

Towards a Common Linked Data Model for Sentiment and Emotion Analysis

Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Netwo...