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ORCIDMuSe@ACM Multimedia 2022: Lisboa, Portugal
- Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller:
MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, Lisboa, Portugal, 10 October 2022. ACM 2022, ISBN 978-1-4503-9484-0 - Alan Cowen:
Uncovering the Nuanced Structure of Expressive Behavior Across Modalities. 1 - Shahin Amiriparian
:
The Dos and Don'ts of Affect Analysis. 3 - Lukas Christ, Shahin Amiriparian, Alice Baird, Panagiotis Tzirakis, Alexander Kathan, Niklas Müller, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller:
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. 5-14 - Haojie Xu, Weifeng Liu, Jiangwei Liu, Mingzheng Li, Yu Feng, Yasi Peng, Yunwei Shi, Xiao Sun, Meng Wang:
Hybrid Multimodal Fusion for Humor Detection. 15-21 - Chengxin Chen, Pengyuan Zhang:
Integrating Cross-modal Interactions via Latent Representation Shift for Multi-modal Humor Detection. 23-28 - Alexander Kathan, Shahin Amiriparian, Lukas Christ, Andreas Triantafyllopoulos, Niklas Müller, Andreas König, Björn W. Schuller:
A Personalised Approach to Audiovisual Humour Recognition and its Individual-level Fairness. 29-36 - Sarthak Yadav, Tilak Purohit, Zohreh Mostaani, Bogdan Vlasenko, Mathew Magimai-Doss:
Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition. 37-45 - Ho-min Park, Ilho Yun, Ajit Kumar, Ankit Kumar Singh, Bong Jun Choi, Dhananjay Singh, Wesley De Neve:
Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder. 47-54 - Yiping Liu, Wei Sun, Xing Zhang, Yebao Qin:
Improving Dimensional Emotion Recognition via Feature-wise Fusion. 55-60 - Yu He, Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao, Meng Wang, Yuan Cheng:
Multimodal Temporal Attention in Sentiment Analysis. 61-66 - Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
ViPER: Video-based Perceiver for Emotion Recognition. 67-73 - Kexin Wang, Zheng Lian, Licai Sun, Bin Liu, Jianhua Tao, Yin Fan:
Emotional Reaction Analysis based on Multi-Label Graph Convolutional Networks and Dynamic Facial Expression Recognition Transformer. 75-80 - Jia Li, Ziyang Zhang, Junjie Lang, Yueqi Jiang, Liuwei An, Peng Zou, Yangyang Xu, Sheng Gao, Jie Lin, Chunxiao Fan, Xiao Sun, Meng Wang:
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis. 81-88 - Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Baralis:
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders. 89-94 - Dominik Schiller, Silvan Mertes, Pol van Rijn, Elisabeth André:
Bridging the Gap: End-to-End Domain Adaptation for Emotional Vocalization Classification using Adversarial Learning. 95-100 - Yang Wu, Zhenyu Zhang, Pai Peng, Yanyan Zhao, Bing Qin:
Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition. 101-109
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