The Faculty of Mathematics and Natural Sciences: Search
Now showing items 111-115 of 115
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 ...
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 ...