We have provided a compact formula for the derivative of a rotation matrix in exponential coordinates. The formula is not only simpler than existing ones but it also has an intuitive interpretation according to the geometric decomposition that it pr…

We present a compact formula for the derivative of a 3-D rotation matrix with respect to its exponential coordinates. A geometric interpretation of t…

In the current mobile app development, novel and emerging DevOps practices (e.g., Continuous Delivery, Integration, and user feedback analysis) and t…

Code smells represent sub-optimal implementation choices applied by developers when evolving software systems. The negative impact of code smells has…

Frictional influences in tendon-driven robotic systems are generally unwanted, with efforts towards minimizing them where possible. In the human hand…

The motivation of semantic wikis is to make acquisition, maintenance, and mining of formal knowledge simpler, faster, and more flexible. However, mos…

We propose an adversarial contextual model for detecting moving objects in images. A deep neural network is trained to predict the optical flow in a …

We performed an extensive evaluation of a neural encoder–decoder model on the task of historical text normalization, using mostly little or even no training data for the target language, and using multi-task learning strategies to improve the normal…

Historical text normalization often relies on small training datasets. Recent work has shown that multi-task learning can sometimes lead to significa…

In this paper we suggest a new algorithm for the computation of a best rank one approximation of tensors, called alternating singular value decomposi…

Bipedal locomotion is a phenomenon that still eludes a fundamental and concise mathematical understanding. Conceptual models that capture some releva…

Current approaches for visual-inertial odometry (VIO) are able to attain highly accurate state estimation via nonlinear optimization. However, real-t…

When designing a new presentation front-end called FlexiView for requirements modeling tools, we encountered a general problem: designing such an int…

AceWiki is a prototype that shows how a semantic wiki using controlled natural language - Attempto Controlled English (ACE) in our case - can make on…

Insightful visualization of multidimensional scalar fields, in particular parameter spaces, is key to many fields in computational science and engine…

Cloud computing providers must handle customer workloads that wish to scale their use of resources, such as virtual machines, up and down over time. …

Graph drawing and visualisation techniques are important tools for the exploratory analysis of complex systems. While these methods are regularly app…

Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control. We introdu…

Visual-Inertial odometry (VIO) is the process of estimating the state (pose and velocity) of an agent (e.g., an aerial robot) by using only the input…

Reasoning is essential for the development of large knowledge graphs, especially for completion, which aims to infer new triples based on existing on…

Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and the…

One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacl…

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