Transformers are emerging as the new gold standard in various computer vision applications, and have already been used in face anti-spoofing demonstrating competitive performance. In this paper, we propose a network with the ViT transformer and ResNet as the backbone for anomaly&...

This paper presents a framework and mobile video editing app for interactive artistic augmentation of human motion in videos. While creating motion effects with industry-standard software is time-intensive and requires expertise, and popular video ef fect apps have limited customization opt...

We present a pipeline for realistic embedding of virtual objects into footage of indoor scenes with focus on real-time AR applications. Our pipeline consists of two main components: A light estimator and a neural soft shadow texture generator. Our light estimation is based&#...

We consider the problem of memory consumption by a real-time GPU-accelerated graphical application. A history of a resource is defined for a particular frame to be the final contents of such a resource at the end of the previ ous frame. When organizing a graphical a...

A major problem with using automated classification systems is that if they are not engineered correctly and with fairness considerations, they could be detrimental to certain populations. Furthermore, while engineers have developed cutting-edge technologies for image classification, there is&#...

Reconstruction from real images has evolved very differently from reconstruction from sketches. Even though both present similarities, the latter aims to surpass the subjectivity that drawings present, increasing the task's uncertainty and complexity. In this work, we draw inspi...

Learning sign language has many advantages ranging from being able to communicate with millions of hearing impaired people, to improving cognitive function and communication skills. Sign language is recognised as an official language in 74 countries, including Germany, Japan, and the&...

The analysis and understanding of artifact properties and their relationships is a key objective in the archaeological analysis of cultural heritage objects. There are many aspects of concern, including both shape properties of the objects as a whole and appearances stemming from painti...

Image acquisition in low-light conditions suffers from poor quality and significant degradation in visual aesthetics. This affects the visual perception of the acquired image and the performance of computer vision and image pro cessing algorithms applied after acquisition. Especially for vi...

The manual processing and analysis of videos from camera traps is time-consuming and includes several steps, ranging from the filtering of falsely triggered footage to identifying and re-identifying individuals. In this study, we developed a pipeline to automatically analyze videos&#...