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Assessing the Benefits of Multimodal Feedback on Dual-Task Performance under Demanding Conditions mā Ju-Hwan Lee, Charles Spence

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Information from multiple modalities helps 5‐month‐olds learn abstract rules mā Michael C. Frank, Jonathan A. Slemmer, Gary Marcus, Scott P. Johnson

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Deep unsupervised network for multimodal perception, representation and classification mā Alain Droniou, Serena Ivaldi, Olivier Sigaud

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Infant Statistical Learning mā Jenny R. Saffran, Natasha Z. Kirkham

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Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild mā Stefano Pini, Olfa Ben Ahmed, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara, Benoît Huet

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Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities mā Mohammad A. Haque, Ruben B. Bautista, Fatemeh Noroozi, Kaustubh Kulkarni, Christian B. Laursen, Ramin Irani, Marco Bellantonio, Sérgio Escalera, Golamreza Anbarjafari, Kamal Nasrollahi, Ole Kæseler Andersen, Erika G. Spaich, Thomas B. Moeslund

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The impact of multimodal collaborative virtual environments on learning: A gamified online debate mā Ioannis Doumanis, Daphne Economou, Gavin Sim, Stuart Porter

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MEC 2017: Multimodal Emotion Recognition Challenge mā Ya Li, Jianhua Tao, Björn W. Schuller, Shiguang Shan, Dongmei Jiang, Jia Jia

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Automatic driver stress level classification using multimodal deep learning mā Mohammad Naim Rastgoo, Bahareh Nakisa, Frédéric Maire, Andry Rakotonirainy, Vinod Chandran

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MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations mā Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea

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Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment mā Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic

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Metric Learning Based Multimodal Audio-visual Emotion Recognition mā Esam Ghaleb, Mirela Popa, Stylianos Asteriadis

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Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition mā Bagus Tris Atmaja, Masato Akagi

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Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset mā Dimitrios Kollias, Stefanos Zafeiriou

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Multimodal Emotion Recognition With Transformer-Based Self Supervised Feature Fusion mā Shamane Siriwardhana, Tharindu Kaluarachchi, Mark Billinghurst, Suranga Nanayakkara

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Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection mā Shraman Pramanick, Aniket Basu Roy, Vishal M. Patel Johns

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End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild mā Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey Karpov, Wolfgang Minker

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Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations mā Sijie Mai, Ying Zeng, Haifeng Hu

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Facial Emotion Recognition with Inter-Modality-Attention-Transformer-Based Self-Supervised Learning mā Aayushi Chaudhari, Chintan Bhatt, Achyut Krishna, Carlos M. Travieso

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Text Representation through Multimodal Variational Autoencoder for One-Class Learning mā Marcos Paulo Silva Gôlo, Ricardo Marcondes Marcacini

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