Faculties of University Bonn: Search
Now showing items 91-100 of 131
Temporal Action Segmentation: Weak Supervision and Efficiency
(2023-08-24)
Action segmentation deals with the temporal understanding of actions that occur in an untrimmed video. The output of action segmentation is an action label for each frame of the input video. This task has recently received ...
Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs
(2023-11-03)
Knowledge Graphs (KGs) have become a fundamental approach to represent structured data and are employed in academic and industrial applications.
KGs are used in various machine learning applications, such as question ...
Deconstructing and Approaching Heterogeneities in the Biomedical Field via Computational Modeling
(2022-12-06)
Natural variation between human characteristics as well as differences across collected datasets in disparate medical or research centers on various levels (e.g., semantical and technical) lead to high heterogeneity in ...
Quantitative and intuitive liver tumor treatment with multi-constrained planning and holographic augmented reality
(2022-12-15)
In recent years, thermal ablation has become a widely accepted minimal invasive treatment for liver tumor patients. However, surgical planning and performing are still challenging tasks in two aspects: on one hand, surgical ...
Scalable 3D Reconstruction for Immersive Virtual Reality Applications
(2022-12-19)
The recent advances in Augmented Reality (AR) and Virtual Reality (VR) technology and their growing popularity in the past years has significantly influenced emerging trends towards more intuitive and user-centric applications ......
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 ......
Automated analysis of flow cytometry using deep learning for the detection of B-cell neoplasms
(2023-07-21)
B-cell neoplasms are the most prevalent type of non-Hodgkin lymphoma, including a diverse and heterogenous group of entities. Immunophenotyping with a high-throughput technology like flow cytometry is a standard diagnostic ...
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 ...
Scalable Distributed Machine Learning for Knowledge Graphs
(2023-07-17)
Due to the increasing progress of digitization, immense amounts of data are accumulating, which can be summarized under the term Big Data and form an exciting basis for data analyses. Since the data are heterogeneous and ...
Physically Based Modeling of Micro-Appearance
(2023-07-11)
This dissertation addresses the challenges of creating photorealistic images by focusing on generating and rendering microscale details and irregularities, because a lack of such imperfections is usually the key aspect of ...