E-Dissertationen: Search
Now showing items 1-6 of 6
Knowledge Context for Entity and Relation Linking
(2021-10-28)
Knowledge graphs (KGs) are structures that provide a compendious representation of real world facts about entities and their relationships. The last decade has seen an increase in the number, size and application of knowledge ...
On Modeling and Assessing Uncertainty Estimates in Neural Learning Systems
(2023-04-20)
While neural networks are universal function approximators when looked at from a theoretical perspective, we face, in practice, model size constraints and highly sparse data samples from open-world contexts. These limitations ......
3D Hand Pose Estimation from Single RGB Images with Auxiliary Information
(2022-12-14)
3D hand pose estimation from monocular RGB inputs is critical for augmented and virtual reality applications, and has achieved remarkable progress due to the revolution of deep learning. Existing deep-learning-based hand ...
Robust and Interpretable Visual Perception Using Deep Neural Networks
(2023-01-11)
Autonomous vehicles promise to revolutionize the transportation of people and goods by increasing road safety, reducing resource consumption, and improving quality of life. To achieve an unrestricted and large-scale ......
Time Filter Assisted Deep Learning to Predict Air Pollution
(2023-07-13)
Exposure to ground-level ozone harms human health as well as the entire ecosystem, so accurate prediction of ozone exposure is of particular importance. Machine learning (ML), and deep learning (DL) in particular, has ...
Approaching Partial Differential Equations with Physics-Driven Deep Learning
(2023-12-14)
Partial Differential Equations (PDEs) play an important role in describing continuous physical systems such as fluids, air-flows, waves and many more. Thus, by solving these equations, one can simulate smoke and water ...