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Sofia Broomé
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Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning
FM Serra Braganca, S Broomé, M Rhodin, S Björnsdóttir, V Gunnarsson, ...
Scientific reports 10 (1), 1-9, 2020
122020
Dynamics are Important for the Recognition of Equine Pain in Video
S Broomé, KB Gleerup, PH Andersen, H Kjellström
IEEE Conference on Computer Vision and Pattern Recognition, 2019
122019
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
J Mänttäri, S Broomé, J Folkesson, H Kjellström
Computer Vision - ACCV 2020, 15th Asian Conference on Computer Vision, 2020
92020
Can a Machine Learn to See Horse Pain? An Interdisciplinary Approach Towards Automated Decoding of Facial Expressions of Pain in the Horse
PH Andersen, KB Gleerup, J Wathan, B Coles, H Kjellström, S Broomé, ...
Measuring Behavior 2018, 2018
92018
Towards machine recognition of facial expressions of pain in horses
PH Andersen, S Broomé, M Rashid, J Lundblad, K Ask, Z Li, E Hernlund, ...
Animals 11 (6), 1643, 2021
72021
What should I annotate? An automatic tool for finding video segments for EquiFACS annotation
M Rashid, S Broome, PH Andersen, KB Gleerup, YJ Lee
Measuring Behavior 2018, 2018
52018
Automated Detection of Equine Facial Action Units
Z Li, S Broomé, PH Andersen, H Kjellström
arXiv preprint arXiv:2102.08983, 2021
42021
hSMAL: Detailed horse shape and pose reconstruction for motion pattern recognition
C Li, N Ghorbani, S Broomé, M Rashid, MJ Black, E Hernlund, ...
arXiv preprint arXiv:2106.10102, 2021
32021
Objectively recognizing human activity in body-worn sensor data with (more or less) deep neural networks
S Broomé
Robotics, Perception and Learning; KTH Royal Institute of Technology, 2017
22017
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
M Rashid, S Broomé, K Ask, E Hernlund, PH Andersen, H Kjellström, ...
IEEE Winter Conference on Applications of Computer Vision, 2022
12022
Sharing pain: Using domain transfer between pain types for recognition of sparse pain expressions in horses
S Broomé, K Ask, M Rashid, PH Andersen, H Kjellström
arXiv preprint arXiv:2105.10313, 2021
12021
Sharing pain: Using pain domain transfer for video recognition of low grade orthopedic pain in horses
S Broomé, K Ask, M Rashid-Engström, P Haubro Andersen, H Kjellström
PloS one 17 (3), e0263854, 2022
2022
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition
S Broomé, E Pokropek, B Li, H Kjellström
arXiv preprint arXiv:2112.12175, 2021
2021
[Re] Unsupervised Scalable Representation Learning for Multivariate Time Series
F Liljefors, MM Sorkhei, S Broomé
ReScience C 6 (NeurIPS 2019 Reproducibility Challenge), 2020
2020
A PDE Perspective on Climate Modeling
S Broomé, J Ridenour
Department of Mathematics, KTH Royal Institute of Technology, 2014
2014
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Articles 1–15