Publication · 2026

On Applicability of Synthetic Datasets for Facial Expression Recognition

Ali Azmoudeh, Erdi Sarıtaş, Ömer Yıldırım, Hazım Kemal Ekenel

2026 IEEE 20th International Conference on Automatic Face and Gesture Recognition (FG)
Kyoto, Japan · pp. 1–10 · First author

Paper DOI Code & data BibTeX Case study

Research summary

Evaluates pseudo-labeling, diffusion synthesis, and GAN expression editing for facial expression recognition, including how synthetic and real data combine under cross-dataset evaluation.

DOI: 10.1109/FG67764.2026.11556946

Citation

Ali Azmoudeh, Erdi Sarıtaş, Ömer Yıldırım, Hazım Kemal Ekenel. 2026. On Applicability of Synthetic Datasets for Facial Expression Recognition. 2026 IEEE 20th International Conference on Automatic Face and Gesture Recognition (FG).

View BibTeX

@inproceedings{azmoudeh2026syntfer,
  title = {{On Applicability of Synthetic Datasets for Facial Expression Recognition}},
  author = {Ali Azmoudeh and Erdi Sarıtaş and Ömer Yıldırım and Hazım Kemal Ekenel},
  year = {2026},
  booktitle = {2026 IEEE 20th International Conference on Automatic Face and Gesture Recognition (FG)},
  doi = {10.1109/FG67764.2026.11556946},
  url = {https://arxiv.org/abs/2605.17483},
  pages = {1--10},
  publisher = {IEEE}
}