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This paper presents MMA-MRNNet, a novel deep learning architecture for dynamic multi-output Facial Expression Intensity Estimation (FEIE) from video data.
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Kollias, D., Nicolaou, M.A., Kotsia, I., Zhao, G., Zafeiriou, S.: Recognition of affect in the wild using deep neural networks. In: Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on. pp. 1972–1979. IEEE (2017)
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Kollias, D., Nicolaou, M.A., Kotsia, I., Zhao, G., Zafeiriou, S.: Recognition of affect in the wild using deep neural networks. In: Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on. pp. 1972–1979. IEEE (2017)
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Zafeiriou, S., Kollias, D., Nicolaou, M.A., Papaioannou, A., Zhao, G., Kotsia, I.: Aff-wild: Valence and arousal ‘in-the-wild’challenge. In: Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on. pp. 1980–1987. IEEE (2017)
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Kollias, D., Tzirakis, P., Nicolaou, M.A., Papaioannou, A., Zhao, G., Schuller, B., Kotsia, I., Zafeiriou, S.: Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond. International Journal of Computer Vision pp. 1–23 (2019)
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Deng, J., Guo, J., Ververas, E., Kotsia, I., Zafeiriou, S.: Retinaface: Single-shot multi-level face localisation in the wild. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5203–5212 (2020)
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Kollias, D., Schulc, A., Hajiyev, E., Zafeiriou, S.: Analysing affective behavior in the first abaw 2020 competition. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)(FG). pp. 794–800
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Kollias, D., Cheng, S., Ververas, E., Kotsia, I., Zafeiriou, S.: Deep neural network augmentation: Generating faces for affect analysis. International Journal of Computer Vision 128
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Kollias, D., Cheng, S., Ververas, E., Kotsia, I., Zafeiriou, S.: Deep neural network augmentation: Generating faces for affect analysis. International Journal of Computer Vision pp. 1–30 (2020)
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Farzaneh, A.H., Qi, X.: Facial expression recognition in the wild via deep attentive center loss. In: Proceedings of the IEEE/CVF winter conference on applications of computer vision. pp. 2402–2411 (2021)
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Kollias, D., Zafeiriou, S.: Analysing affective behavior in the second abaw2 competition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3652–3660 (2021)
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Liu, C., Zhang, X., Liu, X., Zhang, T., Meng, L., Liu, Y., Deng, Y., Jiang, W.: Facial expression recognition based on multi-modal features for videos in the wild. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5871–5878 (2023)
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Qiu, F., Ma, B., Zhang, W., Ding, Y.: Multi-modal emotion reaction intensity estimation with temporal augmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5777–5784 (2023)
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Christ, L., Amiriparian, S., Baird, A., Tzirakis, P., Kathan, A., Müller, N., Stappen, L., Meßner, E.M., König, A., Cowen, A., Cambria, E., Schuller, B.W.: The muse 2022 multimodal sentiment analysis challenge: Humor, emotional reactions, and stress. In: Proceedings of the 3rd Multimodal Sentiment Analysis Challenge. Association for Computing Machinery, Lisbon, Portugal (2022), workshop held at ACM Multimedia 2022, to appear
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Kollias, D.: Abaw: learning from synthetic data & multi-task learning challenges. In: European Conference on Computer Vision. pp. 157–172. Springer (2022)
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Luo, C., Song, S., Xie, W., Shen, L., Gunes, H.: Learning multi-dimensional edge feature-based au relation graph for facial action unit recognition. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. pp. 1239–1246 (2022)
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Vaiani, L., La Quatra, M., Cagliero, L., Garza, P.: Viper: Video-based perceiver for emotion recognition. In: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge. pp. 67–73 (2022)
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Arsenos, A., Davidhi, A., Kollias, D., Prassopoulos, P., Kollias, S.: Data-driven covid-19 detection through medical imaging. In: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). pp. 1–5. IEEE (2023)
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Kollias, D.: Abaw: Learning from synthetic data & multi-task learning challenges. In: European Conference on Computer Vision. pp. 157–172. Springer (2023)
2023
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Kollias, D.: Multi-label compound expression recognition: C-expr database & network. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5589–5598 (2023)
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Wen, Z., Lin, W., Wang, T., Xu, G.: Distract your attention: Multi-head cross attention network for facial expression recognition. Biomimetics 8
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Zhang, W., Ma, B., Qiu, F., Ding, Y.: Multi-modal facial affective analysis based on masked autoencoder. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5792–5801 (2023)
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Zhou, W., Lu, J., Xiong, Z., Wang, W.: Leveraging tcn and transformer for effective visual-audio fusion in continuous emotion recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5756–5763 (2023)
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Arsenos, A., Karampinis, V., Petrongonas, E., Skliros, C., Kollias, D., Kollias, S., Voulodimos, A.: Common corruptions for evaluating and enhancing robustness in air-to-air visual object detection. IEEE Robotics and Automation Letters (2024)
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Arsenos, A., Kollias, D., Petrongonas, E., Skliros, C., Kollias, S.: Uncertainty-guided contrastive learning for single source domain generalisation. In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 6935–6939. IEEE (2024)
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Kollias, D., Sharmanska, V., Zafeiriou, S.: Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 38, pp. 2813–2821 (2024)
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