Deep learning has recently gained popularity achieving state-of-the-art performance in tasks
involving text, sound, or image processing. Due to its outstanding performance, there have …

The documentation and information representation of heritage sites is rapidly evolving. With
the advancements in remote sensing technology, increasingly more heritage projects look to …

Depth perception is paramount for tackling real-world problems, ranging from autonomous
driving to consumer applications. For the latter, depth estimation from a single image would …

Clustering technique plays a critical role in data mining, and has received great success to
solve application problems like community analysis, image retrieval, personalized …

The accuracy of data-driven learning approaches is often unsatisfactory when the training
data is inadequate either in quantity or quality. Manually labeled privileged information (PI) …

Equip** visitors of a cultural site with a wearable device allows to easily collect
information about their preferences which can be exploited to improve the fruition of cultural …

Query expansion is a technique widely used in image search consisting in combining highly
ranked images from an original query into an expanded query that is then reissued …

The digital documentation of cultural heritage (CH) often requires interpretation and
classification of a huge amount of images. The INCEPTION European project focuses on the …

Outdoor large-scale cultural sites are mostly sensitive to environmental, natural and human
made factors, implying an imminent need for a spatio-temporal assessment to identify …

In this paper, we propose a new framework to optimally tone map the high dynamic range
(HDR) content for image matching under drastic illumination variations. Since tone map** …