activity
20182026
most citedOffline Signature Verification by Combining Graph Edit Distance and Triplet Networks

16 citations · 30 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning

Aixiu An, Michael Jungo, Eloi Eynard +4

Neural machine translation (NMT) in the legal domain is a linguistically and conceptually demanding task, primarily due to the complexity of legal language and the high level of pr…

cs.CV2020

Learning Graph Edit Distance by Graph Neural Networks

Pau Riba, Andreas Fischer, Josep Lladós +1

The emergence of geometric deep learning as a novel framework to deal with graph-based representations has faded away traditional approaches in favor of completely new methodologie…

cs.CL2019★ 5 cited

Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German

Lucy Linder, Michael Jungo, Jean Hennebert +2

This paper presents SwissCrawl, the largest Swiss German text corpus to date. Composed of more than half a million sentences, it was generated using a customized web scraping tool…

cs.CL2019

Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes

Noémien Kocher, Christian Scuito, Lorenzo Tarantino +3

In sequence modeling tasks the token order matters, but this information can be partially lost due to the discretization of the sequence into data points. In this paper, we study t…

cs.CV2019★ 9 cited

Graph-Based Offline Signature Verification

Paul Maergner, Nicholas R. Howe, Kaspar Riesen +2

Graphs provide a powerful representation formalism that offers great promise to benefit tasks like handwritten signature verification. While most state-of-the-art approaches to sig…

cs.CV2019

A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis

Linda Studer, Michele Alberti, Vinaychandran Pondenkandath +5

Automatic analysis of scanned historical documents comprises a wide range of image analysis tasks, which are often challenging for machine learning due to a lack of human-annotated…