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ORCIDSofia Broomé
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2020 – today
- 2023
[j1]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): 572-590 (2023)- [c4]Sofia Broomé, Ernest Pokropek, Boyu Li, Hedvig Kjellström:
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition. WACV 2023: 4188-4198 - [i9]Ernest Pokropek, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström:
Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings. CoRR abs/2306.05311 (2023) - 2022
- [b1]Sofia Broomé:
Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior. Royal Institute of Technology, Stockholm, Sweden, 2022 - [c3]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: 152-162 - [i8]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 abs/2206.08405 (2022) - 2021
- [i7]Zhenghong Li, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström:
Automated Detection of Equine Facial Action Units. CoRR abs/2102.08983 (2021) - [i6]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 abs/2105.10313 (2021) - [i5]Ci Li, Nima Ghorbani, Sofia Broomé, Maheen Rashid, Michael J. Black, Elin Hernlund, Hedvig Kjellström, Silvia Zuffi:
hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition. CoRR abs/2106.10102 (2021) - [i4]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 abs/2108.13258 (2021) - [i3]Sofia Broomé, Ernest Pokropek, Boyu Li, Hedvig Kjellström:
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition. CoRR abs/2112.12175 (2021) - 2020
- [c2]Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting Video Features: A Comparison of 3D Convolutional Networks and Convolutional LSTM Networks. ACCV (5) 2020: 411-426 - [i2]Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks. CoRR abs/2002.00367 (2020)
2010 – 2019
- 2019
- [c1]Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics Are Important for the Recognition of Equine Pain in Video. CVPR 2019: 12667-12676 - [i1]Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics are Important for the Recognition of Equine Pain in Video. CoRR abs/1901.02106 (2019)
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