516 citations
- Fraunhofer Institute for Industrial MathematicsDE4 papers
- Carl von Ossietzky Universität OldenburgDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- CIC nanoGUNEES2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- École PolytechniqueFR2 papers
- IkerbasqueES2 papers
- University of MannheimDE2 papers
- Active Technologies (Italy)IT1 paper
- Cochlear (Australia)AU1 paper
- Computing CenterRU1 paper
- Delft University of TechnologyNL1 paper
21 papers
Intelligent Character Recognition of Handwritten Forms with Deep Neural Networks
Hartwig Grabowski
The automatic processing of handwritten forms remains a challenging task, wherein detection and subsequent classification of handwritten characters are essential steps. We describe…
Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs
Pius Horn, Janis Keuper
Correctly parsing mathematical formulas from PDFs is critical for training large language models and building scientific knowledge bases from academic literature, yet existing benc…
Eye-tracking-Driven Shared Control for Robotic Arms: Wizard of Oz Studies to Assess Design Choices
Anke Fischer-Janzen, Thomas M. Wendt, Daniel Görlich +1
Advances in eye-tracking control for assistive robotic arms provide intuitive interaction opportunities for people with physical disabilities. Shared control has gained interest in…
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption
Marcus Rüb, Philipp Tuchel, Axel Sikora +1
A new algorithm for incremental learning in the context of Tiny Machine learning (TinyML) is presented, which is optimized for low-performance and energy efficient embedded devices…
Unleashing Modified Deep Learning Models in Efficient COVID19 Detection
Md Aminul Islam, Shabbir Ahmed Shuvo, Mohammad Abu Tareq Rony +2
The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may…
Retail-786k: a Large-Scale Dataset for Visual Entity Matching
Bianca Lamm, Janis Keuper
Entity Matching (EM) defines the task of learning to group objects by transferring semantic concepts from example groups (=entities) to unseen data. Despite the general availabilit…