A Multimodal LSTM for Predicting Listener Empathic Responses Over Time

Long short-term memory

S. Hochreiter and J. Schmidhuber · 1997

Earlier work this paper cites.

Recent developments in opensmile, the munich open-source multimedia feature extractor

F. Eyben, F. Weninger, F. Gross, and B. Schuller · 2013

Earlier work this paper cites.

Lstm-modeling of continuous emotions in an audiovisual affect recognition framework

M. Wöllmer, M. Kaiser, F. Eyben, B. Schuller, and G. Rigoll · 2013

Earlier work this paper cites.

Glove: Global vectors for word representation

J. Pennington, R. Socher, and C. D. Manning · 2014

Earlier work this paper cites.

Empathy: A motivated account

J. Zaki · 2014

Earlier work this paper cites.

Effective approaches to attention-based neural machine translation

T. Luong, H. Pham, and C. D. Manning · 2015

Earlier work this paper cites.

Affective cognition: Exploring lay theories of emotion

D. C. Ong, J. Zaki, and N. D. Goodman · 2015

Cited alongside, same era.

Deep face recognition

O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015

Cited alongside, same era.

An appraisal theory of empathy and other vicarious emotional experiences

J. D. Wondra and P. C. Ellsworth · 2015

Cited alongside, same era.

Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages

A. Zadeh, R. Zellers, E. Pincus, and L.-P. Morency · 2016

Cited alongside, same era.

A review of affective computing: From unimodal analysis to multimodal fusion

S. Poria, E. Cambria, R. Bajpai, and A. Hussain · 2017

Cited alongside, same era.

Event detection in continuous video: An inference in point process approach

Z. Qin and C. R. Shelton · 2017

Cited alongside, same era.

The OMG-Emotion Behavior Dataset

P. Barros, N. Churamani, E. Lakomkin, H. Sequeira, A. Sutherland, and S. Wermter · 2018

Closest in time.

Multimodal utterance-level affect analysis using visual, audio and text features

Original

D. Deng, Y. Zhou, J. Pi, and B. E. Shi · 2018

Closest in time.

Group-level emotion recognition using hybrid deep models based on faces, scenes, skeletons and visual attentions

X. Guo, B. Zhu, L. F. Polanía, C. Boncelet, and K. E. Barner · 2018

Closest in time.

Computational models of emotion inference in theory of mind: A review and roadmap

D. C. Ong, J. Zaki, and N. D. Goodman · 2018

Closest in time.

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues

S. Peng, L. Zhang, Y. Ban, M. Fang, and S. Winkler · 2018

Closest in time.