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Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Report on performance evaluation, usage and usability of SEWA applications

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Annual Report 2

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Deep Structured Ordinal Regression for Facial Action Unit Intensity Estimation

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Dynamic Behavior Analysis via Structured Rank Minimization

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Prediction-based learning for continuous emotion recognition in speech

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

End-to-end visual speech recognition with LSTMS

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Audio-visual object localization and separation using low-rank and sparsity

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Reconstruction-error-based learning for continuous emotion recognition in speech

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Temporal Archetypal Analysis for Action Segmentation

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

The Conflict Escalation Resolution (CONFER) Database

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

You sound ill, take the day off: Classification of speech affected by Upper Respiratory Tract Infection

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

AV+EC 2015 - The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Modelling User Affect and Sentiment in Intelligent User Interfaces - A Tutorial Overview

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Summary for AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Detection of negative emotions in speech signals using bags-of-audio-words

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Cross-language acoustic emotion recognition: An overview and some tendencies

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Latent trees for estimating intensity of Facial Action Units

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Fast and exact bi-directional fitting of active appearance models

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Speech Analysis in the Big Data Era

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Probabilistic Slow Features for Behavior Analysis

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Sentiment apprehension in human-robot interaction with NAO

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Variable-state latent conditional random fields for facial expression recognition and action unit detection

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Prediction-based Audiovisual Fusion for Classification of Non-Linguistic Vocalisations

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Face Reading from Speech - Predicting Facial Action Units from Audio Cues

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Neural conditional ordinal random fields for agreement level estimation

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

An array of physical sensors and an adaptive regression strategy for emotion recognition in a noisy scenario

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

AVEC 2017 - Real-life Depression, and Affect Recognition Workshop and Challenge

Project: SEWA

Updated at: 29-04-2024

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Project acronym SEWA

Resources

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Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals

Report on performance evaluation, usage and usability of SEWA applications

Annual Report 2

Deep Structured Ordinal Regression for Facial Action Unit Intensity Estimation

Dynamic Behavior Analysis via Structured Rank Minimization

Prediction-based learning for continuous emotion recognition in speech

End-to-end visual speech recognition with LSTMS

Audio-visual object localization and separation using low-rank and sparsity

Reconstruction-error-based learning for continuous emotion recognition in speech

Temporal Archetypal Analysis for Action Segmentation

The Conflict Escalation Resolution (CONFER) Database

You sound ill, take the day off: Classification of speech affected by Upper Respiratory Tract Infection

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

AV+EC 2015 - The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

Modelling User Affect and Sentiment in Intelligent User Interfaces - A Tutorial Overview

Summary for AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Detection of negative emotions in speech signals using bags-of-audio-words

Cross-language acoustic emotion recognition: An overview and some tendencies

Latent trees for estimating intensity of Facial Action Units

Fast and exact bi-directional fitting of active appearance models

Speech Analysis in the Big Data Era

Probabilistic Slow Features for Behavior Analysis

Sentiment apprehension in human-robot interaction with NAO

Variable-state latent conditional random fields for facial expression recognition and action unit detection

Prediction-based Audiovisual Fusion for Classification of Non-Linguistic Vocalisations

Face Reading from Speech - Predicting Facial Action Units from Audio Cues

Neural conditional ordinal random fields for agreement level estimation

An array of physical sensors and an adaptive regression strategy for emotion recognition in a noisy scenario

End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

AVEC 2017 - Real-life Depression, and Affect Recognition Workshop and Challenge