Fakultäten der Universität Bonn: Suche
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Generative Adversarial Networks for Semantic Image Synthesis and Unconditional Synthesis with Limited Data
(2024-02-15)
Generative modeling of images is an important task aimed at synthesizing new images that are indistinguishable from real samples. The ability to generate diverse, realistic- looking images holds numerous applications, ...
Multiple Objective Learning for Effective Knowledge Graph Embedding
(2023-03-15)
Over the past decade, knowledge graphs (KGs) have become popular for capturing structured domain knowledge. Knowledge graphs particularly allow the effortless integration of heterogeneous data into a coherent model. Besides ...
Efficient Perception and Forecasting for Autonomous Vehicles
(2024-04-29)
In recent years, autonomous driving vehicles have attracted a lot of attention. In autonomous driving, safety is the highest priority. To ensure this, scene understanding and motion forecasting play an important role in ...
Temporal Knowledge Graph Embedding and Reasoning
(2023-03-27)
Knowledge Graphs (KGs) have emerged as an efficient way to organize and represent knowledge by storing the underlying relations between entities. Recently, a large amount of research works have been devoted to KG embeddings, ...
Self-Supervised Video Representation Learning and Downstream Applications
(2023-05-12)
Video understanding is an important computer vision task with a great variety of different applications, such as autonomous driving, robotics and video surveillance. Much progress has recently been made on video understanding ...
Robot Mapping with 3D LiDARs
(2024-05-15)
Robots can assist humans in a multitude of ways. For example, robots can handle tedious tasks that humans prefer not to do, such as vacuum cleaning daily to keep a house clean. They can tackle challenging problems that, ...
Holistic Video Understanding: Spatio-Temporal Modeling and Efficiency
(2024-05-21)
Video understanding, a specialized area within computer vision, focuses on classifying human actions in video clips. The field has seen remarkable advancements, particularly with the introduction of 3D convolutional neural ...
Data Science with Foundation Models: An Evidence-Based, Comprehensive Project Methodology
(2024-05-23)
In the past decades, the interest in data science has surged across sectors and industries. Data science has been impacted by a series of paradigm shifts, such as the emergence of big data, cloud computing or the demand ...
Deep Learning for Causal Inference and Latent Dynamical Modeling in Biomedical Research
(2024-06-03)
Biological systems are ubiquitous, encompassing complex molecular networks governing single-cell organisms to expansive ecosystems profoundly impacting our planet's environment. In biology, the adoption of a systems approach ...