Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …

Reconstructing accurate 3D scenes from images is a long-standing vision task. Due to the ill-
posedness of the single-image reconstruction problem, most well-established methods are …

To facilitate the monitoring and management of modern transportation systems, monocular
visual traffic surveillance systems have been widely adopted for speed measurement …

Despite significant progress in monocular depth estimation in the wild, recent state-of-the-art
methods cannot be used to recover accurate 3D scene shape due to an unknown depth shift …

Due to the lack of camera parameter information for in-the-wild images, existing 3D human
pose and shape (HPS) estimation methods make several simplifying assumptions: weak …

Geometric camera calibration is often required for applications that understand the
perspective of the image. We propose perspective fields as a representation that models the …

One of the main and most effective measures to contain the recent viral outbreak is the
maintenance of the so-called Social Distancing (SD). To comply with this constraint …

Despite significant progress made in the past few years, challenges remain for depth
estimation using a single monocular image. First, it is nontrivial to train a metric-depth …

Human pose estimation from single images is a challenging problem that is typically solved
by supervised learning. Unfortunately, labeled training data does not yet exist for many …

Calibration of wide field-of-view cameras is a fundamental step for numerous visual media
production applications, such as 3D reconstruction, image undistortion, augmented reality …