Many learning-based algorithms have been developed to solve the inverse problem of
coded aperture snapshot spectral imaging (CASSI). However, CNN-based methods show …

Trajectories are fundamental to winning in alpine skiing. Tools enabling the analysis of such
curves can enhance the training activity and enrich broadcasting content. In this paper, we …

Analyses based on the body posture are crucial for top-class athletes in many sports
disciplines. If at all, coaches label only the most important keypoints, since manual …

Lameness affects animal mobility, causing pain and discomfort. Lameness in early stages
often goes undetected due to a lack of observation, precision, and reliability. Automated and …

Skiing is a popular winter sport discipline with a long history of competitive events. In this
domain, computer vision has the potential to enhance the understanding of athletes' …

Abstract Nearly all Human Pose Estimation (HPE) datasets consist of a fixed set of
keypoints. Standard HPE models trained on such datasets can only detect these keypoints. If …

Skiing is a globally popular winter sport discipline with a rich history of competitive events.
This domain offers ample opportunities for the application of computer vision to enhance the …

A Manhattan world lying along cuboid buildings is useful for camera angle estimation.
However accurate and robust angle estimation from fisheye images in the Manhattan world …

In panoptic scene graph generation (PSGG), models retrieve interactions between objects in
an image which are grounded by panoptic segmentation masks. Previous evaluations on …

Accurate human pose estimation is essential for further human action recognition and
behavioral analysis. Existing convolutional networks can extract local feature information but …