A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
Computer Vision and Pattern Recognition
2019-06-26 v2
Abstract
In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018.
Keywords
Cite
@article{arxiv.1805.00638,
title = {A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues},
author = {Songyou Peng and Le Zhang and Yutong Ban and Meng Fang and Stefan Winkler},
journal= {arXiv preprint arXiv:1805.00638},
year = {2019}
}
Related papers
View all related →
Computer Vision and Pattern Recognition · Computer Science
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs
Tianlin Liu, Arvid Kappas
2018-05-23
Artificial Intelligence · Computer Science
Multimodal Emotion Recognition for One-Minute-Gradual Emotion Challenge
Ziqi Zheng, Chenjie Cao, Xingwei Chen, Guoqiang Xu
2018-05-04
Artificial Intelligence · Computer Science
Dimensional emotion recognition using visual and textual cues
Pedro M. Ferreira, Diogo Pernes, Kelwin Fernandes, Ana Rebelo +1
2018-05-04
Computer Vision and Pattern Recognition · Computer Science
An Ensemble Approach for Facial Expression Analysis in Video
Hong-Hai Nguyen, Van-Thong Huynh, Soo-Hyung Kim
2022-03-25
Computer Vision and Pattern Recognition · Computer Science
OMG - Emotion Challenge Solution
Yuqi Cui, Xiao Zhang, Yang Wang, Chenfeng Guo +1
2018-05-02
Computer Vision and Pattern Recognition · Computer Science
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild
Dimitrios Kollias, Stefanos Zafeiriou
2019-12-17
Machine Learning · Computer Science
MAVEN: Multi-modal Attention for Valence-Arousal Emotion Network
Vrushank Ahire, Kunal Shah, Mudasir Nazir Khan, Nikhil Pakhale +3
2025-05-05
Human-Computer Interaction · Computer Science
The OMG-Emotion Behavior Dataset
Pablo Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira +2
2018-05-23
Computer Vision and Pattern Recognition · Computer Science
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition
Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
2021-09-15
Machine Learning · Computer Science
Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild
Valentin Richer, Dimitrios Kollias
2019-12-17
Computer Vision and Pattern Recognition · Computer Science
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
Andrey V. Savchenko
2022-05-25
Human-Computer Interaction · Computer Science
Transformer for Emotion Recognition
Jean-Benoit Delbrouck
2018-05-31
Computer Vision and Pattern Recognition · Computer Science
Emotion Recognition Using Transformers with Masked Learning
Seongjae Min, Junseok Yang, Sangjun Lim, Junyong Lee +2
2024-08-06
Computation and Language · Computer Science
Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers
Gonçalo Azevedo Mendes, Bruno Martins
2023-02-28
Image and Video Processing · Electrical Eng. & Systems
Multimodal Utterance-level Affect Analysis using Visual, Audio and Text Features
Didan Deng, Yuqian Zhou, Jimin Pi, Bertram E. Shi
2018-05-07
Computer Vision and Pattern Recognition · Computer Science
Emotion Recognition with CLIP and Sequential Learning
Weiwei Zhou, Chenkun Ling, Zefeng Cai
2025-03-14
Computer Vision and Pattern Recognition · Computer Science
Neuromorphic Valence and Arousal Estimation
Lorenzo Berlincioni, Luca Cultrera, Federico Becattini, Alberto Del Bimbo
2024-01-30
Audio and Speech Processing · Electrical Eng. & Systems
Multi-Modal Continuous Valence And Arousal Prediction in the Wild Using Deep 3D Features and Sequence Modeling
Sowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra
2020-03-02
Machine Learning · Computer Science
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification
Michael Mitsios, Georgios Vamvoukakis, Georgia Maniati, Nikolaos Ellinas +12
2024-04-03
Computer Vision and Pattern Recognition · Computer Science
HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction
Andrey V. Savchenko
2024-03-19
Computer Vision and Pattern Recognition · Computer Science
Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers
Weiwei Zhou, Jiada Lu, Chenkun Ling, Weifeng Wang +1
2024-03-19
Machine Learning · Computer Science
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Peitong Li +2
2024-03-20
Sound · Computer Science
Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal Burst
Dang-Linh Trinh, Minh-Cong Vo, Guee-Sang Lee
2022-09-27
Audio and Speech Processing · Electrical Eng. & Systems
Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech
Enting Zhou, You Zhang, Zhiyao Duan
2024-02-07
Computer Vision and Pattern Recognition · Computer Science
Multi-modal Emotion Estimation for in-the-wild Videos
Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang +4
2022-04-01