Markerless methods for animal posture tracking have been rapidly developing recently, but
frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To …

Precise segmentation is an important computer vision task for the automated animal
monitoring, with potential application in the quantitative analysis of piglet crushing. However …

While diffusion models have shown impressive performance in 2D image/video generation,
diffusion-based Text-to-Multi-view-Video (T2MVid) generation remains underexplored. The …

We introduce a new benchmark analysis focusing on 3D canine pose estimation from
monocular in-the-wild images. A multi-modal dataset 3DDogs-Lab was captured indoors …

Collection of large behavioral data-sets on wild animals in natural habitats is vital in ecology
and evolution studies. Recent progress in machine learning and computer vision, combined …

Social interaction is crucial for survival in primates. For the study of social vision in monkeys,
highly controllable macaque face avatars have recently been developed, while body avatars …

The common marmoset has become an important experimental animal model in scientific
research. The ability to capture and quantify behaviors of marmosets in natural environment …

The common marmoset has become an important experimental animal model in scientific
research. The ability to capture and quantify behaviors of marmosets in natural environment …

Deep learning-based markerless motion capture allows us to measure the kinematics of
behavior at unprecedented resolution. SLEAP (Social LEAP Estimates Animal Poses) is a …