Andreas Dengel

A study on enhancing crop classification using diverse data sources and deep learning models.

A new method that enhances image generation quality and training stability.

DocXplain improves transparency and fairness in document image classification.

A study on enhancing crop mapping using advanced satellite imagery and machine learning.

Using data and technology to forecast crop yields effectively.

Researchers create a webcam-based dataset for pupil size measurement.

A new method for generating realistic handwritten text across languages.

Researchers develop new methods to enhance model accuracy despite absent sensor data.

A new method enhances speed and quality in creating panorama images.

Introducing a tool for evaluating unsupervised anomaly detection methods in federated learning.

Enhancing image quality leads to better pupil size assessments.

A novel method to create high-quality synthetic table images for better recognition tools.

Using quantum annealing to group LEO satellites for better communication.

Research highlights the importance of data features in model accuracy.

KnoWoGen offers a novel system for creating datasets in knowledge work, addressing key limitations.

A new model improves image compression without losing quality.

TaylorIR improves image clarity with less computing power.

A new method improves efficiency in machine learning data processing.

Hierarchical Diffusion Classifier speeds up image classification by organizing label choices.

New methods enhance image quality and resolution significantly.

Discover how WordVIS simplifies document classification using color.