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 …

We present a novel method for simultaneous learning of depth, egomotion, object motion,
and camera intrinsics from monocular videos, using only consistency across neighboring …

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

The lack of large-scale, labeled data sets impedes progress in develo** robust and
generalized predictive models for on-body sensor-based human activity recognition (HAR) …

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 …

Monocular visual odometry (VO) suffers severely from error accumulation during frame-to-
frame pose estimation. In this paper, we present a self-supervised learning method for VO …

Accurate sensor calibration is a prerequisite for autonomous vehicles' multi-sensor
perception. Even though there are many open-source projects related to sensor calibration …

Accurate intrinsic calibration is essential for camera-based 3D perception, yet, it typically
requires targets of well-known geometry. Here, we propose a camera self-calibration …

In fisheye images, rich distinct distortion patterns are regularly distributed in the image
plane. These distortion patterns are independent of the visual content and provide …

Casual videos, such as those captured in daily life using a hand-held camera, pose
problems for conventional structure-from-motion (SfM) techniques: the camera is often …