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A Transformer-based Multimodal Network for Audiovisual Depression Prediction.

, , , , , and . GCCE, page 761-764. IEEE, (2022)

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Dense Optical Flow Variation Based 3D Face Reconstruction from Monocular Video., , and . ICIP, page 2665-2669. IEEE, (2018)Multimodal Infusion Tuning for Large Models., , , , , , and . CoRR, (2024)Modality-invariant temporal representation learning for multimodal sentiment classification., , , and . Inf. Fusion, (2023)Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level., , , , , , and . Sensors, 21 (14): 4764 (2021)CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation., , , , and . ACM Multimedia, page 3722-3729. ACM, (2022)A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation., , , , , and . NTCIR, volume 11966 of Lecture Notes in Computer Science, page 151-162. Springer, (2019)Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Models in Surgery., , , and . IIMSS, volume 98 of Smart Innovation, Systems and Technologies, page 223-229. Springer, (2018)Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation., , , , and . ASRU, page 411-418. IEEE, (2021)MUG: A General Meeting Understanding and Generation Benchmark., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings., , , , , , , , and . EMNLP, page 5868-5875. Association for Computational Linguistics, (2023)