Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …

Many image-based perception tasks can be formulated as detecting, associating and
tracking semantic keypoints, eg, human body pose estimation and tracking. In this work, we …

Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …

Data Assimilation (DA) is the approximation of the true state of some physical system by
combining observations with a dynamic model. DA incorporates observational data into a …

Denoising diffusion probabilistic models that were initially proposed for realistic image
generation have recently shown success in various perception tasks (eg, object detection …

In keypoint estimation tasks such as human pose estimation, heatmap-based regression is
the dominant approach despite possessing notable drawbacks: heatmaps intrinsically suffer …

Multi-frame human pose estimation has long been a compelling and fundamental problem
in computer vision. This task is challenging due to fast motion and pose occlusion that …