Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges

Fabian Benitez-Quiroz, C., Srinivasan, R., Martinez, A.M.: Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016)

2016

Earlier work this paper cites.

Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2818–2826 (2016)

2016

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: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. pp. 26–33 (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: Proceedings of the IEEE conference on computer vision and pattern recognition workshops. pp. 34–41 (2017)

2017

Earlier work this paper cites.

Ding, H., Sricharan, K., Chellappa, R.: Exprgan: Facial expression editing with controllable expression intensity. In: Proceedings of the AAAI conference on artificial intelligence. vol. 32 (2018)

2018

Earlier work this paper cites.

Kollias, D., Cheng, S., Pantic, M., Zafeiriou, S.: Photorealistic facial synthesis in the dimensional affect space. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops. pp. 0–0 (2018)

2018

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

Cited alongside, same era.

Mollahosseini, A., Hasani, B., Mahoor, M.H.: Affectnet: A database for facial expression, valence, and arousal computing in the wild. IEEE Transactions on Affective Computing 10

2019

Cited alongside, same era.

Cubuk, E.D., Zoph, B., Shlens, J., Le, Q.V.: Randaugment: Practical automated data augmentation with a reduced search space. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops. pp. 702–703 (2020)

2020

Cited alongside, same era.

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

2020

Cited alongside, same era.

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

Later among the works it 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

Later among the works it cites.

Kollias, D., Zafeiriou, S.: Analysing affective behavior in the second abaw2 competition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. pp. 3652–3660 (October 2021)

2021

Later among the works it cites.

Zhang, W., Ji, X., Chen, K., Ding, Y., Fan, C.: Learning a facial expression embedding disentangled from identity. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 6759–6768 (2021)

2021

Later among the works it cites.