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Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion.

, , , , and . CoRR, (2020)

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Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion., , , , and . CoRR, (2020)Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing., , and . ACL (1), page 481-492. Association for Computational Linguistics, (2019)Adapted Dynamic Memory Network for Emotion Recognition in Conversation., , and . IEEE Trans. Affect. Comput., 13 (3): 1426-1439 (2022)End-to-end Semantic-centric Video-based Multimodal Affective Computing., , , and . CoRR, (2024)Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis., , , and . CoRR, (2021)Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion., , and . AAAI, page 164-172. AAAI Press, (2020)Graph Capsule Aggregation for Unaligned Multimodal Sequences., , and . ICMI, page 521-529. ACM, (2021)Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning., , and . EMNLP, page 3191-3203. Association for Computational Linguistics, (2022)Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis., , and . EMNLP (Findings), page 1262-1274. Association for Computational Linguistics, (2021)Analyzing Multimodal Sentiment Via Acoustic- and Visual-LSTM With Channel-Aware Temporal Convolution Network., , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)