Pia Haubro Andersen

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 9

Top Topics

Video Based Face Recognition

Automated Detection

Facial Action Units

Statistical Data Mining

Top Venues

Int. J. Comput. Vis.

Publications

Sofia Broomé, Marcelo Feighelstein, Anna Zamansky, Gabriel Carreira Lencioni, Pia Haubro Andersen, Francisca Pessanha, Marwa Mahmoud, Hedvig Kjellström, Albert Ali Salah
Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions. Int. J. Comput. Vis. 131 (2) (2023)
Ernest Pokropek, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström
Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings. CoRR (2023)
Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. WACV (2022)
Sofia Broomé, Marcelo Feighelstein, Anna Zamansky, Gabriel Carreira Lencioni, Pia Haubro Andersen, Francisca Pessanha, Marwa Mahmoud, Hedvig Kjellström, Albert Ali Salah
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States. CoRR (2022)
Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. CoRR (2021)
Sofia Broomé, Katrina Ask, Maheen Rashid, Pia Haubro Andersen, Hedvig Kjellström
Sharing Pain: Using Domain Transfer Between Pain Types for Recognition of Sparse Pain Expressions in Horses. CoRR (2021)
Zhenghong Li, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström
Automated Detection of Equine Facial Action Units. CoRR (2021)
Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström
Dynamics Are Important for the Recognition of Equine Pain in Video. CVPR (2019)
Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström
Dynamics are Important for the Recognition of Equine Pain in Video. CoRR (2019)
Emil Olsen, Pia Haubro Andersen, Thilo Pfau
Accuracy and Precision of Equine Gait Event Detection during Walking with Limb and Trunk Mounted Inertial Sensors. Sensors 12 (6) (2012)