Lausanne Historical Censuses Dataset HTR 35k

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Structured and grounded representation of text is typically formalized by closed information extraction, the problem of extracting an exhaustive set of (subject, relation, object) triplets that are consistent with a predefined set of entities and relations ...

Due to the increasing number of pictures captured and stored every day by and on digital devices, lossy image compression has become inevitable to limit the needed storage requirement. As a consequence, these compression methods might introduce some visual ...

Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and increase the reliability of transmitted information. ASR application can lead ...

The application of digital technologies to historical newspapers has changed the research landscape historians were used to. An Eldorado? Despite undeniable advantages, the new digital affordance of historical newspapers also transforms research practices ...

Current task-oriented dialog (TOD) systems mostly manage structured knowledge (e.g. databases and tables) to guide the goal-oriented conversations. However, they fall short of handling dialogs which also involve unstructured knowledge (e.g. reviews and doc ...

In this work, we present a simple biometric indexing scheme which is binning and retrieving cancelable deep face templates based on frequent binary patterns. The simplicity of the proposed approach makes it applicable to unprotected as well as protected, i ...

Voice communication is the main channel to exchange information between pilots and Air-Traffic Controllers (ATCos). Recently, several projects have explored the employment of speech recognition technology to automatically extract spoken key information suc ...

Face recognition has become a popular authentication tool in recent years. Modern state-of-the-art (SOTA) face recognition methods rely on deep neural networks, which extract discriminative features from face images. Although these methods have high recogn ...

Nowadays, image and video are the data types that consume most of the resources of modern communication channels, both in fixed and wireless networks. Thus, it is vital to compress visual data as much as possible, while maintaining some target quality leve ...

At the beginning of the 19th century, the Napoleonic administration introduced a new standardised description system to give an objective account of the form and functions of the city of Venice. The cadastre, deployed on a European scale, was offering for ...

In this paper, we develop Automatic Speech Recognition (ASR) systems for multi-genre speech recognition of low-resource languages where training data is predominantly conversational speech but test data can be in one of the following genres: news broadcast ...

Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions. Such pairwise functions underpin the effectiveness of non-lo ...

Lausanne Historical Censuses Dataset HTR 35k

Chattez avec Graph Search

GenIE: Generative Information Extraction

Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding

A Two-Step Approach To Leverage Contextual Data: Speech Recognition In Air-Traffic Communications

Digitised Newspapers – A New Eldorado for Historians? Reflections on Tools, Methods and Epistemology

End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications

On the Recognition Performance of BioHashing on state-of-the-art Face Recognition models

Learning-based Image Coding: Early Solutions Reviewing and Subjective Quality Evaluation

Une approche computationnelle du cadastre napoléonien de Venise

Multitask adaptation with Lattice-Free MMI for multi-genre speech recognition of low resource languages

Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials