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SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition.

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End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild., , , , , and . Multimodal Technol. Interact., 6 (2): 11 (2022)Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics., , , , , , , , , and . AVEC@MM, page 27-35. ACM, (2019)Deep Learning Based Engagement Recognition in Highly Imbalanced Data., , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 166-178. Springer, (2021)DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game Recordings., , , , , and . SPECOM, volume 13721 of Lecture Notes in Computer Science, page 163-177. Springer, (2022)Application of Clustering Methods to Anomaly Detection in Fibrous Media., , , , , , and . CoRR, (2018)An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild., , , , , and . CoRR, (2020)SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition., , , , , and . CoRR, (2024)In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study., , and . Neurocomputing, (2022)Detecting anomalies in fibre systems using 3-dimensional image data., , , , , and . Stat. Comput., 30 (4): 817-837 (2020)Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges., , , , , and . INTERSPEECH, page 2072-2076. ISCA, (2020)