Text line segmentation is one of the key steps in historical document understanding. It is
challenging due to the variety of fonts, contents, writing styles and the quality of documents …

This paper describes the system submitted by A2iA to the second Maurdor evaluation for
multi-lingual text recognition. A system based on recurrent neural networks and weighted …

There is a recent trend in handwritten text recognition with deep neural networks to replace
2D recurrent layers with 1D and in some cases even completely remove the recurrent layers …

Contention for shared memory, in the forms of true sharing and false sharing, is a
challenging performance bug to discover and to repair. Understanding cache contention …

A novel metric for the detection and classification of different areas in scanned documents is
presented in this paper. This metric, ZoneMap, aims at evaluating both page segmentation …

In this paper we propose a structured prediction based system for text/non-text classification
and printed/handwritten texts separation at connected component (CC) level in complex …

The ROSE Challenge is the first robotics and artificial intelligence competition worldwide to
implement a third-party performance evaluation of intra-row weeding robots in real …

In this thesis, we study multiple tasks related to document layout analysis such as the
detection of text lines, the splitting into acts or the detection of the writing support. Thus, we …

This paper presents the data sets acquired in the context of the ROSE agricultural robotics
challenge. This database represents crop plants (maize and bean) associated with different …

Competitions are a proven and cost-effective method to quickly develop new disruptive
technologies for new markets. However, artificial intelligence and robotics competitions are …