We propose an approach to automatically extract the 3D pose of dogs from single-view RGB
images using only synthetic data for training. Due to the lack of suitable 3D datasets …

Preserving endangered species is a critical component of maintaining a balanced and
healthy ecosystem. Animal pose, especially for rare animals, allows an understanding of …

Numerous fields, such as ecology, biology, and neuroscience, use animal recordings to
track and measure animal behaviour. Over time, a significant volume of such data has been …

Animal pose estimation has become a crucial area of research, but the scarcity of annotated
data is a significant challenge in developing accurate models. Synthetic data has emerged …

Evaluating autonomous ground vehicles requires evaluating their mobility performance.
Since autonomous vehicles are envisioned to make decisions in a variety of situations and …

Modern autonomous systems require extensive testing to ensure reliability and build trust in
ground vehicles. However, testing these systems in the real-world is challenging due to the …

The world is experiencing a biodiversity crisis. Ecological data is urgently required to grasp
the full extent and severity of this crisis, while also guiding conservation management efforts …

Assessing the mobility performance of autonomous ground vehicles is essential since these
vehicles are designed to operate in a wide range of situations and environments. However …

Analysis of bovine movement and behavior is crucial in detecting their motor disorders and
maintaining their welfare. Quantitative gait analysis methods have been designed to …