Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

Traditional color images only depict color intensities in red, green and blue channels, often
making object trackers fail in challenging scenarios, eg, background clutter and rapid …

This paper presents a new benchmark dataset for validating vision-based methods that
automatically identifies visually distinctive working activities of excavators and dump trucks …

Self-supervised learning aims to learn image feature representations without the usage of
manually annotated labels. It is often used as a precursor step to obtain useful initial network …

Although adherence to project schedules and budgets is most highly valued by project
owners, more than 53% of typical construction projects are behind schedule and more than …

Quality management is a fundamental component of a manufacturing process. In this paper,
we propose a promising learning-based approach for automatic defect detection based on …

Neural Network (CNN) has been extensively employed by diversified applications
concerned images or videos data. Because training a specific CNN model for an application …

Automatic building material classification has been a popular research interest over the past
decades because it is useful for construction management and facility management …

Recent learning-based multi-view stereo (MVS) methods show excellent performance with
dense cameras and small depth ranges. However, non-learning based approaches still …

Material recognition for real-world outdoor surfaces has become increasingly important for
computer vision to support its operation" in the wild." Computational surface modeling that …