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Multimodal research is an emerging field of artificial intelligence, and one of the main research problems in this field is multimodal fusion.
Integration of acoustic and visual speech signals using neural networks
Ben P Yuhas, Moise H Goldstein, and Terrence J Sejnowski. 1989 · 1989
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Support-vector networks
Corinna Cortes and Vladimir Vapnik. 1995 · 1995
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Facial emotion recognition using multi-modal information
Liyanage C De Silva, Tsutomu Miyasato, and Ryohei Nakatsu. 1997 · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Multimodal human emotion/expression recognition
Lawrence S Chen, Thomas S Huang, Tsutomu Miyasato, and Ryohei Nakatsu. 1998 · 1998
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Fast human detection using a cascade of histograms of oriented gradients
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng, and Shai Avidan. 2006 · 2006
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Iemocap: Interactive emotional dyadic motion capture database
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette Chang, Sungbok Lee, and Shrikanth S. Narayanan. 2008 · 2008
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A tensor approximation approach to dimensionality reduction
Hongcheng Wang and Narendra Ahuja. 2008 · 2008
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Speaker identification on the scotus corpus
Jiahong Yuan and Mark Liberman. 2008 · 2008
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Dynamical tensor approximation
Othmar Koch and Christian Lubich. 2010 · 2010
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Towards multimodal sentiment analysis: Harvesting opinions from the web
Louis-Philippe Morency, Rada Mihalcea, and Payal Doshi. 2011 · 2011
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Utterance-level multimodal sentiment analysis
Verónica Pérez-Rosas, Rada Mihalcea, and Louis-Philippe Morency. 2013 · 2013
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Youtube movie reviews: Sentiment analysis in an audio-visual context
Martin Wöllmer, Felix Weninger, Tobias Knaup, Björn Schuller, Congkai Sun, Kenji Sagae, and Louis-Philippe Morency. 2013 · 2013
Cited alongside, same era.
Covarep—a collaborative voice analysis repository for speech technologies
Gilles Degottex, John Kane, Thomas Drugman, Tuomo Raitio, and Stefan Scherer. 2014 · 2014
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Low-rank tensors for scoring dependency structures
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, and Tommi Jaakkola. 2014 · 2014
Convolutional mkl based multimodal emotion recognition and sentiment analysis
Soujanya Poria, Iti Chaturvedi, Erik Cambria, and Amir Hussain. 2016 · 2016
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Extending long short-term memory for multi-view structured learning
Shyam Sundar Rajagopalan, Louis-Philippe Morency, Tadas Baltrušaitis, and Roland Goecke. 2016 · 2016
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Weighted low rank approximations with provable guarantees
Ilya Razenshteyn, Zhao Song, and David P Woodruff. 2016 · 2016
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Select-additive learning: Improving cross-individual generalization in multimodal sentiment analysis
Haohan Wang, Aaksha Meghawat, Louis-Philippe Morency, and Eric P Xing. 2016 · 2016
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Multimodal sentiment analysis with word-level fusion and reinforcement learning
Minghai Chen, Sen Wang, Paul Pu Liang, Tadas Baltrušaitis, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
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Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Cited alongside, same era.
Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach. 2016 · 2016
Cited alongside, same era.
Deep multimodal fusion for persuasiveness prediction
Behnaz Nojavanasghari, Deepak Gopinath, Jayanth Koushik, Tadas Baltrušaitis, and Louis-Philippe Morency. 2016 · 2016
Cited alongside, same era.
Computational analysis of persuasiveness in social multimedia: A novel dataset and multimodal prediction approach
Sunghyun Park, Han Suk Shim, Moitreya Chatterjee, Kenji Sagae, and Louis-Philippe Morency. 2014a
Cited in the paper.
Computational analysis of persuasiveness in social multimedia: A novel dataset and multimodal prediction approach
Sunghyun Park, Han Suk Shim, Moitreya Chatterjee, Kenji Sagae, and Louis-Philippe Morency. 2014b
Cited in the paper.
Memory fusion network for multi-view sequential learning
Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2018a
Cited in the paper.
Attribute-enhanced face recognition with neural tensor fusion networks
Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S Mukherjee, Timothy M Hospedales, Neil M Robertson, and Yongxin Yang. 2017 · 2017
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What really matters—an information gain analysis of questions and reactions in automated ptsd screenings
Torsten Wortwein and Stefan Scherer. 2017 · 2017
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Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2017 · 2017
Later among the works it cites.