Ines Rieger

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Head Pose Estimation

Facial Expressions

Top Venues

Publications

Bettina Finzel, Ines Rieger, Simon Kuhn, Ute Schmid
Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition. CD-MAKE (2023)
Ines Rieger, Jaspar Pahl, Bettina Finzel, Ute Schmid
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition. CoRR (2022)
Jaspar Pahl, Ines Rieger, Anna Möller, Thomas Wittenberg, Ute Schmid
Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces. FAccT (2022)
Ines Rieger, Jaspar Pahl, Bettina Finzel, Ute Schmid
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition. ICPR (2022)
Bettina Finzel, René Kollmann, Ines Rieger, Jaspar Pahl, Ute Schmid
Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification. LWDA (2021)
Ines Rieger, Jaspar Pahl, Dominik Seuss
Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection. FG (2020)
Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid
Verifying Deep Learning-based Decisions for Facial Expression Recognition. ESANN (2020)
Jaspar Pahl, Ines Rieger, Dominik Seuss
Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets. CoRR (2020)
Jaspar Pahl, Ines Rieger, Dominik Seuss
Multi-Label Class Balancing Algorithm for Action Unit Detection. CoRR (2020)
Jessica Deuschel, Bettina Finzel, Ines Rieger
Uncovering the Bias in Facial Expressions. CoRR (2020)
Ines Rieger, Jaspar Pahl, Dominik Seuss
Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection. CoRR (2020)
Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid
Verifying Deep Learning-based Decisions for Facial Expression Recognition. CoRR (2020)
Ines Rieger, Thomas Hauenstein, Sebastian Hettenkofer, Jens-Uwe Garbas
Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets. CoRR (2019)
Ines Rieger, Thomas Hauenstein, Sebastian Hettenkofer, Jens-Uwe Garbas
Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets. IEA/AIE (2019)