One-to-one set matching is a key design for DETR to establish its end-to-end capability, so
that object detection does not require a hand-crafted NMS (non-maximum suppression) to …

Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the
true kinematics of animal movement. Existing 3D measurement techniques draw on …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

Abstract 3D reconstruction of human bodies remains an important research issue in
computer vision. It is a fundamental resource for many everyday applications, including in …

We address the problem of clothed human reconstruction from a single image or
uncalibrated multi-view images. Existing methods struggle with reconstructing detailed …

Depth estimation is usually ill-posed and ambiguous for monocular camera-based 3D multi-
person pose estimation. Since LiDAR can capture accurate depth information in long-range …

Abstract 3D human pose estimation has been a long-standing challenge in computer vision
and graphics, where multi-view methods have significantly progressed but are limited by the …

Abstract 3D pose estimation is an invaluable task in computer vision with various practical
applications. Especially, 3D pose estimation for multi-person from a monocular video …

Abstract Human Pose Estimation from images allows the recognition of key daily activity
patterns in Smart Environments. Current State-of-the-art (SOTA) 3D pose estimators are built …

Estimating 3D poses and shapes in the form of meshes from monocular RGB images is
challenging. Obviously, it is more difficult than estimating 3D poses only in the form of …