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Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence.

, , , , and . CVPR, page 8807-8817. Computer Vision Foundation / IEEE, (2019)

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Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis., , , , , and . ICMI, page 6-15. ACM, (2021)Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence., , , , and . CVPR, page 8807-8817. Computer Vision Foundation / IEEE, (2019)Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding., , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors., , , , , and . AAAI, page 7216-7223. AAAI Press, (2019)Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph., , , , and . ACL (1), page 2236-2246. Association for Computational Linguistics, (2018)Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions., , and . ACM Comput. Surv., 56 (10): 264 (October 2024)Wearable Technology and Data Science for Injury Prediction in Sports.. AMCIS, Association for Information Systems, (2019)Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors., , , , , and . CoRR, (2018)Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions., , and . CoRR, (2022)Micro-opinion Sentiment Intensity Analysis and Summarization in Online Videos.. ICMI, page 587-591. ACM, (2015)