7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition

Han, S., Meng, Z., Khan, A.S., Tong, Y.: Incremental boosting convolutional neural network for facial action unit recognition. In: Advances in neural information processing systems. pp. 109–117 (2016)

2016

Earlier work this paper cites.

Chang, W.Y., Hsu, S.H., Chien, J.H.: Fatauva-net : An integrated deep learning framework for facial attribute recognition, action unit (au) detection, and valence-arousal estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (2017)

2017

Earlier work this paper cites.

Chen, S., Jin, Q., Zhao, J., Wang, S.: Multimodal multi-task learning for dimensional and continuous emotion recognition. In: Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge. pp. 19–26. ACM (2017)

2017

Earlier work this paper cites.

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)

2017

Earlier work this paper cites.

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)

2017

Earlier work this paper cites.

Kollias, D., Cheng, S., Pantic, M., Zafeiriou, S.: Photorealistic facial synthesis in the dimensional affect space. In: European Conference on Computer Vision. pp. 475–491. Springer (2018)

2018

Earlier work this paper cites.

Kollias, D., Sharmanska, V., Zafeiriou, S.: Face behavior a la carte: Expressions, affect and action units in a single network. arXiv preprint arXiv:1910.11111 (2019)

Original

2019

Earlier work this paper cites.

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)

2019

Earlier work this paper cites.

Kollias, D., Zafeiriou, S.: Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface. arXiv preprint arXiv:1910.04855 (2019)

Original

2019

Earlier work this paper cites.

Deng, D., Chen, Z., Shi, B.E.: Fau, facial expressions, valence and arousal: A multi-task solution. arXiv preprint arXiv:2002.03557 (2020)

Original

2020

Earlier work this paper cites.

Deng, D., Chen, Z., Shi, B.E.: Multitask emotion recognition with incomplete labels. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). pp. 592–599. IEEE (2020)

2020

Earlier work this paper cites.

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)

2020

Earlier work this paper cites.

Do, N.T., Nguyen-Quynh, T.T., Kim, S.H.: Affective expression analysis in-the-wild using multi-task temporal statistical deep learning model. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). pp. 624–628. IEEE (2020)

2020

Earlier work this paper cites.

Dresvyanskiy, D., Ryumina, E., Kaya, H., Markitantov, M., Karpov, A., Minker, W.: An audio-video deep and transfer learning framework for multimodal emotion recognition in the wild. arXiv preprint arXiv:2010.03692 (2020)

Original

2020

Earlier work this paper cites.

Gera, D., Balasubramanian, S.: Affect expression behaviour analysis in the wild using spatio-channel attention and complementary context information. arXiv preprint arXiv:2009.14440 (2020)

Original

2020

Earlier work this paper cites.

Ji, X., Ding, Y., Li, L., Chen, Y., Fan, C.: Multi-label relation modeling in facial action units detection. arXiv preprint arXiv:2002.01105 (2020)

Original

2020

Earlier work this paper cites.

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)

2020

Earlier work this paper cites.

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. IEEE Computer Society (2020)

2020

Earlier work this paper cites.

Kollias, D., Zafeiriou, S.: Va-stargan: Continuous affect generation. In: International Conference on Advanced Concepts for Intelligent Vision Systems. pp. 227–238. Springer (2020)

2020

Earlier work this paper cites.

Kuhnke, F., Rumberg, L., Ostermann, J.: Two-stream aural-visual affect analysis in the wild. arXiv preprint arXiv:2002.03399 (2020)

Original

2020

Earlier work this paper cites.

Liu, H., Zeng, J., Shan, S., Chen, X.: Emotion recognition for in-the-wild videos. arXiv preprint arXiv:2002.05447 (2020)

Original

2020

Earlier work this paper cites.

Pahl, J., Rieger, I., Seuss, D.: Multi-label class balancing algorithm for action unit detection. arXiv preprint arXiv:2002.03238 (2020)

Original

2020

Earlier work this paper cites.

Youoku, S., Toyoda, Y., Yamamoto, T., Saito, J., Kawamura, R., Mi, X., Murase, K.: A multi-term and multi-task analyzing framework for affective analysis in-the-wild. arXiv preprint arXiv:2009.13885 (2020)

Original

2020

Earlier work this paper cites.

Zhang, Y.H., Huang, R., Zeng, J., Shan, S., Chen, X.: m 3 m^{3} t: Multi-modal continuous valence-arousal estimation in the wild. arXiv preprint arXiv:2002.02957 (2020)

Original

2020

Earlier work this paper cites.

Antoniadis, P., Pikoulis, I., Filntisis, P.P., Maragos, P.: An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild. arXiv preprint arXiv:2107.03465 (2021)

Original

2021

Earlier work this paper cites.

Deng, D., Wu, L., Shi, B.E.: Towards better uncertainty: Iterative training of efficient networks for multitask emotion recognition. arXiv preprint arXiv:2108.04228 (2021)

Original

2021

Earlier work this paper cites.

Gera, D., Balasubramanian, S.: Affect expression behaviour analysis in the wild using consensual collaborative training. arXiv preprint arXiv:2107.05736 (2021)

Original

2021

Earlier work this paper cites.

Jin, Y., Zheng, T., Gao, C., Xu, G.: A multi-modal and multi-task learning method for action unit and expression recognition. arXiv preprint arXiv:2107.04187 (2021)

Original

2021

Earlier work this paper cites.

Kollias, D., Sharmanska, V., Zafeiriou, S.: Distribution matching for heterogeneous multi-task learning: a large-scale face study. arXiv preprint arXiv:2105.03790 (2021)

Original

2021

Earlier work this paper cites.

Kollias, D., Zafeiriou, S.: Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework. arXiv preprint arXiv:2103.15792 (2021)

Original

2021

Earlier work this paper cites.

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)

2021

Earlier work this paper cites.

Li, I., et al.: Technical report for valence-arousal estimation on affwild2 dataset. arXiv preprint arXiv:2105.01502 (2021)

Original

2021

Earlier work this paper cites.

Mao, S., Fan, X., Peng, X.: Spatial and temporal networks for facial expression recognition in the wild videos. arXiv preprint arXiv:2107.05160 (2021)

Original

2021

Earlier work this paper cites.

Oh, G., Jeong, E., Lim, S.: Causal affect prediction model using a facial image sequence. arXiv preprint arXiv:2107.03886 (2021)

Original

2021

Earlier work this paper cites.

Saito, J., Mi, X., Uchida, A., Youoku, S., Yamamoto, T., Murase, K.: Action units recognition using improved pairwise deep architecture. arXiv preprint arXiv:2107.03143 (2021)

Original

2021

Earlier work this paper cites.

Vu, M.T., Beurton-Aimar, M.: Multitask multi-database emotion recognition. arXiv preprint arXiv:2107.04127 (2021)

Original

2021

Earlier work this paper cites.

Wang, L., Wang, S.: A multi-task mean teacher for semi-supervised facial affective behavior analysis. arXiv preprint arXiv:2107.04225 (2021)

Original

2021

Earlier work this paper cites.

Xie, H.X., Li, I., Lo, L., Shuai, H.H., Cheng, W.H., et al.: Technical report for valence-arousal estimation in abaw2 challenge. arXiv preprint arXiv:2107.03891 (2021)

Original

2021

Earlier work this paper cites.

Zhang, S., Ding, Y., Wei, Z., Guan, C.: Audio-visual attentive fusion for continuous emotion recognition. arXiv preprint arXiv:2107.01175 (2021)

Original

2021

Cited alongside, same era.

Zhang, W., Guo, Z., Chen, K., Li, L., Zhang, Z., Ding, Y.: Prior aided streaming network for multi-task affective recognitionat the 2nd abaw2 competition. arXiv preprint arXiv:2107.03708 (2021)

Original

2021

Cited alongside, same era.

Chang, Y., Wu, Y., Miao, X., Wang, J., Wang, S.: Multi-task learning for emotion descriptors estimation at the fourth abaw challenge. arXiv preprint arXiv:2207.09716 (2022)

Original

2022

Cited alongside, same era.

Deng, D.: Multiple emotion descriptors estimation at the abaw3 challenge. arXiv preprint arXiv:2203.12845 (2022)

Original

2022

Cited alongside, same era.

Kollias, D., Arsenos, A., Kollias, S.: A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging. Neurocomputing 542

2023

Later among the works it cites.

Kollias, D., Psaroudakis, A., Arsenos, A., Theofilou, P.: Facernet: a facial expression intensity estimation network. arXiv preprint arXiv:2303.00180 (2023)

Original

2023

Later among the works it cites.

Kollias, D., Tzirakis, P., Baird, A., Cowen, A., Zafeiriou, S.: Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5888–5897 (2023)

2023

Later among the works it cites.

Mutlu, O.C., Honarmand, M., Surabhi, S., Wall, D.P.: Tempt: Temporal consistency for test-time adaptation. arXiv preprint arXiv:2303.10536 (2023)

Original

2023

Later among the works it cites.