1 code implementation • 30 Aug 2021 • Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
Consequently, a pragmatic equine pain classification system would use video of the unobserved horse and weak labels.
no code implementations • 18 Jun 2021 • Ci Li, Nima Ghorbani, Sofia Broomé, Maheen Rashid, Michael J. Black, Elin Hernlund, Hedvig Kjellström, Silvia Zuffi
In this paper we present our preliminary work on model-based behavioral analysis of horse motion.
1 code implementation • 21 May 2021 • Sofia Broomé, Katrina Ask, Maheen Rashid, Pia Haubro Andersen, Hedvig Kjellström
Moreover, we present a human expert baseline for the problem, as well as an extensive empirical study of various domain transfer methods and of what is detected by the pain recognition method trained on clean experimental pain in the orthopedic dataset.
no code implementations • 4 Feb 2020 • Maheen Rashid, Hedvig Kjellström, Yong Jae Lee
We present a method for weakly-supervised action localization based on graph convolutions.
1 code implementation • CVPR 2017 • Maheen Rashid, Xiuye Gu, Yong Jae Lee
Instead of directly finetuning a network trained to detect keypoints on human faces to animal faces (which is sub-optimal since human and animal faces can look quite different), we propose to first adapt the animal images to the pre-trained human detection network by correcting for the differences in animal and human face shape.