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- abstractOctober 2018
ASMMC-MMAC 2018: The Joint Workshop of 4th the Workshop on Affective Social Multimedia Computing and first Multi-Modal Affective Computing of Large-Scale Multimedia Data Workshop
- Dong-Yan Huang,
- Sicheng Zhao,
- Björn W. Schuller,
- Hongxun Yao,
- Jianhua Tao,
- Min Xu,
- Lei Xie,
- Qingming Huang,
- Jie Yang
MM '18: Proceedings of the 26th ACM international conference on MultimediaPages 2120–2121https://doi.org/10.1145/3240508.3243724Affective social multimedia computing is an emergent research topic for both affective computing and multimedia research communities. Social multimedia is fundamentally changing how we communicate, interact, and collaborate with other people in our ...
- research-articleOctober 2018
Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder
MM '18: Proceedings of the 26th ACM international conference on MultimediaPages 537–545https://doi.org/10.1145/3240508.3240714Human conversation analysis is challenging because the meaning can be expressed through words, intonation, or even body language and facial expression. We introduce a hierarchical encoder-decoder structure with attention mechanism for conversation ...
- research-articleOctober 2018
EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions
MM '18: Proceedings of the 26th ACM international conference on MultimediaPages 1319–1327https://doi.org/10.1145/3240508.3240591Deep neural networks have performed well on various benchmark vision tasks with large-scale labeled training data; however, such training data is expensive and time-consuming to obtain. Due to domain shift or dataset bias, directly transferring models ...
- research-articleOctober 2018
Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM
MM '18: Proceedings of the 26th ACM international conference on MultimediaPages 117–125https://doi.org/10.1145/3240508.3240533Sentiment analysis on large-scale social media data is important to bridge the gaps between social media contents and real world activities including political election prediction, individual and public emotional status monitoring and analysis, and so ...