Personality traits are characteristics that can describe a person’s behavior, also reflecting their thoughts and feel ings. There are those who support the idea that traits can be strong predictors of leadership, implying emotional stability of the individual. Knowing the importance of ...

Deep Neural Networks (DNNs) require large amounts of annotated training data for a good performance. Often this data is generated using manual labeling (error-prone and time-consuming) or rendering (requiring geometry and material information). Both approaches make it difficult or uneconomic to&#...

This paper proposes a natural data augmentation method and an anomaly removal artificial neural network for accurate anomaly detection. Anomaly detection is important because the provision of high-quality products is vital in the manufacturing industry. However, it is difficult to obtain&#x...

Strokes concerned more than 795,000 individuals annually in the United States as of 20211 . Detecting thrombus (blood clot) is crucial for aiding surgeons in diagnosis, a process heavily reliant on 3D models reconstructed from medical imaging. While these models are very dense with...

Modern graphics APIs expose control over the infamously non-coherent GPU caches to application programmers through the mechanisms of pipeline barriers and render passes. A developer is then asked to group together their GPU computations based on memory access patterns such that cache fl...

In this paper, we aim to improve rendering reflections using environment maps on moving reflective objects. Such scenarios require multiple reflection probes to be positioned at various locations in a scene. During rendering, the closest reflection probe is typically chosen as the envir...

Fish motion is a very important indicator of various health conditions of fish swarms in the fish farming industry. Many researchers have successfully analyzed fish motion information with the help of special sensors or computer vision, but their research results were either limited...

We present an approach to backpropagating through minimal problem solvers in end-to-end neural network train ing. Traditional methods relying on manually constructed formulas, finite differences, and autograd are laborious, approximate, and unstable for complex minimal problem solvers. We show that&#x...

The automation of games using Deep Reinforcement Learning Strategies (DRL) is a well-known challenge in AI research. While for feature extraction in a video game typically the whole image is used, this is hardly practical for many real world games. Instead, using a smaller gam...

Fairing methods, frequently used for smoothing noisy features of surfaces, evolve a surface towards a simpler shape. The process of shaping a simple surface into a more complex object requires using a scalar field defined in the ambient space to drive the surface towards a...

We developed Beta Caller, an end-to-end system supporting the sport of rock climbing for climbers with visual impairment. Beta Caller provides real-time, audible instructions containing a prediction for the climber’s next move while they are actively climbing a rock wall. This system le...

Lacunar fractal structures reduce the material quantity and weight while improving some physics properties, such as heat transfers, and preserving good mechanical properties. Nowadays, it is possible to construct such shapes thanks to additive manufacturing. This paper focuses on automatically ge...