Search Results for author:
Found 19 papers, 11 papers with code
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
We evaluate them on different Document Image Binarization Contest (DIBCO) datasets and obtain very heterogeneous results.
Efficient Annotation of Medieval Charters
Diplomatics, the analysis of medieval charters, is a major field of research in which paleography is applied.
Writer Retrieval and Writer Identification in Greek Papyri
The analysis of digitized historical manuscripts is typically addressed by paleographic experts.
TorMentor: Deterministic dynamic-path, data augmentations with fractals
We propose the use of fractals as a means of efficient data augmentation.
Ranked #1 on
No real Data Binarization
on DIBCO and H_DIBCO 2009
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
As a strong baseline, we propose a two-stage DL-based method: first, we create automatically labeled training data by applying a standard sentiment classifier to tweet replies and aggregating its predictions for each original tweet; our rationale is that individual errors made by the classifier are likely to cancel out in the aggregation step.
Ranked #1 on
Tweet-Reply Sentiment Analysis
on RETWEET
Differentiable Data Augmentation with Kornia
In this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors.
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
In particular, we investigate the performance of large-scale retrieval of historical document fragments in terms of style and writer identification.
Spatio-Temporal Handwriting Imitation
Then, a method for online handwriting synthesis is used to produce a new realistic-looking text primed with the online input sequence.
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
This competition investigates the performance of large-scale retrieval of historical document images based on writing style.
Deep Generalized Max Pooling
Global pooling layers are an essential part of Convolutional Neural Networks (CNN).
Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings
Embedding data into vector spaces is a very popular strategy of pattern recognition methods.
The Robust Reading Competition Annotation and Evaluation Platform
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.
Improving Text Proposals for Scene Images with Fully Convolutional Networks
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.
Redefining Binarization and the Visual Archetype
Although binarization is considered passe, it still remains a highly popular research topic.
Evaluation of the Effect of Improper Segmentation on Word Spotting
Word spotting is an important recognition task in historical document analysis.
Local Binary Pattern for Word Spotting in Handwritten Historical Document
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.
Improving patch-based scene text script identification with ensembles of conjoined networks
Instead of resizing input images to a fixed aspect ratio as in the typical use of holistic CNN classifiers, we propose here a patch-based classification framework in order to preserve discriminative parts of the image that are characteristic of its class.
Visual Script and Language Identification
In this paper we introduce a script identification method based on hand-crafted texture features and an artificial neural network.
Sparse Radial Sampling LBP for Writer Identification
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.
