96 citations · 216 across the 21 of their papers we have counts for
21 papers
TextileNet: Towards Zero-shot Text-style Segmentation of Manuscripts
Anguelos Nicolaou, Antonella Ambrosio, Desiree Di Donato +1
Automatic writer identification systems have progressed remarkably in recent years, yet their deployment in archival paleography remains limited by the scarcity of labeled training…
Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Text
Anguelos Nicolaou, Maria Pia Tiseo, Tamas Kovacs +2
Medieval document transcribers have very different practices; on top of that, heterogeneous digitization policies have resulted in corpora where the character-set must be viewed as…
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
Richin Sukesh, Mathias Seuret, Anguelos Nicolaou +2
Binarization of document images is an important pre-processing step in the field of document analysis. Traditional image binarization techniques usually rely on histograms or local…
Efficient Annotation of Medieval Charters
Anguelos Nicolaou, Daniel Luger, Franziska Decker +3
Diplomatics, the analysis of medieval charters, is a major field of research in which paleography is applied. Annotating data, if performed by laymen, needs validation and correcti…
Writer Retrieval and Writer Identification in Greek Papyri
Vincent Christlein, Isabelle Marthot-Santaniello, Martin Mayr +2
The analysis of digitized historical manuscripts is typically addressed by paleographic experts. Writer identification refers to the classification of known writers while writer re…
TorMentor: Deterministic dynamic-path, data augmentations with fractals
Anguelos Nicolaou, Vincent Christlein, Edgar Riba +3
We propose the use of fractals as a means of efficient data augmentation. Specifically, we employ plasma fractals for adapting global image augmentation transformations into contin…
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein +5
Twitter sentiment analysis, which often focuses on predicting the polarity of tweets, has attracted increasing attention over the last years, in particular with the rise of deep le…
Differentiable Data Augmentation with Kornia
Jian Shi, Edgar Riba, Dmytro Mishkin +2
In this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors. This module leverages different…
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann +2
This competition succeeds upon a line of competitions for writer and style analysis of historical document images. In particular, we investigate the performance of large-scale retr…
Spatio-Temporal Handwriting Imitation
Martin Mayr, Martin Stumpf, Anguelos Nicolaou +3
Most people think that their handwriting is unique and cannot be imitated by machines, especially not using completely new content. Current cursive handwriting synthesis is visuall…
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
Vincent Christlein, Anguelos Nicolaou, Mathias Seuret +2
This competition investigates the performance of large-scale retrieval of historical document images based on writing style. Based on large image data sets provided by cultural her…
Deep Generalized Max Pooling
Vincent Christlein, Lukas Spranger, Mathias Seuret +3
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They are used to aggregate activations of spatial locations to produce a fixed-size vector in se…
Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings
Anguelos Nicolaou, Sounak Dey, Vincent Christlein +2
Embedding data into vector spaces is a very popular strategy of pattern recognition methods. When distances between embeddings are quantized, performance metrics become ambiguous.…
The Robust Reading Competition Annotation and Evaluation Platform
Dimosthenis Karatzas, Lluis Gómez, Anguelos Nicolaou +1
The ICDAR Robust Reading Competition (RRC), initiated in 2003 and re-established in 2011, has become a de-facto evaluation standard for robust reading systems and algorithms. Concu…
Improving Text Proposals for Scene Images with Fully Convolutional Networks
Dena Bazazian, Raul Gomez, Anguelos Nicolaou +3
Text Proposals have emerged as a class-dependent version of object proposals - efficient approaches to reduce the search space of possible text object locations in an image. Combin…
Redefining Binarization and the Visual Archetype
Anguelos Nicolaou, Liwicki Marcus
Although binarization is considered passe, it still remains a highly popular research topic. In this paper we propose a rethinking of what binarization is. We introduce the notion…
Evaluation of the Effect of Improper Segmentation on Word Spotting
Sounak Dey, Anguelos Nicolaou, Josep Llados +1
Word spotting is an important recognition task in historical document analysis. In most cases methods are developed and evaluated assuming perfect word segmentations. In this paper…
Local Binary Pattern for Word Spotting in Handwritten Historical Document
Sounak Dey, Anguelos Nicolaou, Josep Llados +1
Digital libraries store images which can be highly degraded and to index this kind of images we resort to word spot- ting as our information retrieval system. Information retrieval…
Improving patch-based scene text script identification with ensembles of conjoined networks
Lluis Gomez, Anguelos Nicolaou, Dimosthenis Karatzas
This paper focuses on the problem of script identification in scene text images. Facing this problem with state of the art CNN classifiers is not straightforward, as they fail to a…
Visual Script and Language Identification
Anguelos Nicolaou, Andrew Bagdanov, Lluis Gomez-Bigorda +1
In this paper we introduce a script identification method based on hand-crafted texture features and an artificial neural network. The proposed pipeline achieves near state-of-the-…
Sparse Radial Sampling LBP for Writer Identification
Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki +1
In this paper we present the use of Sparse Radial Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture classification. By adapting and exten…