Ines Rieger

According to our database, Ines Rieger authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition.

Bettina Finzel, Ines Rieger, Simon Kuhn, Ute Schmid

Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022

CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition.

Ines Rieger, Jaspar Pahl, Bettina Finzel, Ute Schmid

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces.

Jaspar Pahl, Ines Rieger, Anna Möller, Thomas Wittenberg, Ute Schmid

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification.

Bettina Finzel, René Kollmann, Ines Rieger, Jaspar Pahl, Ute Schmid

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

2020

Uncovering the Bias in Facial Expressions.

Jessica Deuschel, Bettina Finzel, Ines Rieger

CoRR, 2020

Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets.

Jaspar Pahl, Ines Rieger, Dominik Seuss

CoRR, 2020

Multi-Label Class Balancing Algorithm for Action Unit Detection.

Jaspar Pahl, Ines Rieger, Dominik Seuss

CoRR, 2020

Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection.

Ines Rieger, Jaspar Pahl, Dominik Seuss

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Verifying Deep Learning-based Decisions for Facial Expression Recognition.

Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets.

Ines Rieger, Thomas Hauenstein, Sebastian Hettenkofer, Jens-Uwe Garbas

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019