S. Winkler, L. Zhang, S. Peng.
PersEmoN: A deep network for joint analysis of apparent personality, emotion and their relationship.
IEEE Transactions on Affective Computing, to appear.

S. Winkler, V. Vonikakis, D. Neo.
MorphSet: Augmenting categorical emotion datasets with dimensional affect labels using face morphing.
eprint arXiv:2103.02854, March 2021.

S. Winkler V. Vonikakis.
Identity-invariant facial landmark frontalization for facial expression analysis.
Proc. IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct. 25-28, 2020.

S. Winkler S. Peng, L. Zhang, Y. Ban, M. Fang.
A deep network for arousal-valence emotion prediction with acoustic-visual cues.
One Minute Gradual (OMG) Emotion Behavior Challenge (1st/2nd place), eprint arXiv:1805.00638, May 2018.

S. Winkler V. Vonikakis, Y. Yazıcı, V. D. Nguyen.
Group happiness assessment using geometric features and dataset balancing.
Proc. 18th ACM International Conference on Multimodal Interaction (ICMI), Emotion Recognition in the Wild Challenge (2nd place), Tokyo, Japan, Nov. 12-16, 2016.

S. Winkler, H.-W. Ng, V. D. Nguyen, V. Vonikakis.
Deep learning for emotion recognition on small datasets using transfer learning.
Proc. 17th ACM International Conference on Multimodal Interaction (ICMI), Emotion Recognition in the Wild Challenge (3rd place), Seattle, WA, Nov. 9-13, 2015.