4 citations · 8 across the 6 of their papers we have counts for
6 papers
Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
Michael Jungo, Beat Wolf, Andrii Maksai +2
On-line handwritten character segmentation is often associated with handwriting recognition and even though recognition models include mechanisms to locate relevant positions durin…
Towards Resolving Word Ambiguity with Word Embeddings
Matthias Thurnbauer, Johannes Reisinger, Christoph Goller +1
Ambiguity is ubiquitous in natural language. Resolving ambiguous meanings is especially important in information retrieval tasks. While word embeddings carry semantic information,…
Mapping Researcher Activity based on Publication Data by means of Transformers
Zineddine Bettouche, Andreas Fischer
Modern performance on several natural language processing (NLP) tasks has been enhanced thanks to the Transformer-based pre-trained language model BERT. We employ this concept to i…
Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing
Zineddine Bettouche, Andreas Fischer
The process of transforming a raster image into a vector representation is known as image tracing. This study looks into several processing methods that include high-pass filtering…
The RPM3D project: 3D Kinematics for Remote Patient Monitoring
Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte +9
This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches. We base our analysis on the Kinematic Theory of…
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
Lars Vögtlin, Anna Scius-Bertrand, Paul Maergner +2
Deep learning methods have shown strong performance in solving tasks for historical document image analysis. However, despite current libraries and frameworks, programming an exper…