Simple Summary Facial activity can convey valid information about the experience of pain in
a horse. However, scoring of pain in horses based on facial activity is still in its infancy and …

Understanding animals' behaviors is significant for a wide range of applications. However,
existing animal behavior datasets have limitations in multiple aspects, including limited …

We present a new loss function, namely Wing loss, for robust facial landmark localisation
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …

In this paper, we are interested in pose estimation of animals. Animals usually exhibit a wide
range of variations on poses and there is no available animal pose dataset for training and …

Facial expressions are essential for communication and emotional expression across
species. Despite the improvements brought by tools like the Horse Grimace Scale (HGS) in …

Neural networks are highly effective tools for pose estimation. However, as in other
computer vision tasks, robustness to out-of-domain data remains a challenge, especially for …

Monitoring animal behavior can facilitate conservation efforts by providing key insights into
wildlife health, population status, and ecosystem function. Automatic recognition of animals …

In this work, we focus on the task of learning and representing dense correspondences in
deformable object categories. While this problem has been considered before, solutions so …

Recent contributions have demonstrated that it is possible to recognize the pose of humans
densely and accurately given a large dataset of poses annotated in detail. In principle, the …

Several studies show that animal needs are often expressed through their faces. Though
remarkable progress has been made towards the automatic understanding of human faces …