Towards 3D facial morphometry : facial image analysis applications in anesthesiology and 3D spectral nonrigid registration

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The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

Deep convolutional neural networks have shown remarkable results on face recognition (FR). Despite their significant progress, the performance of current face recognition techniques is often assessed in benchmarks under not always realistic conditions. The ...

We present an image-based pipeline for generating geometrical digital twins (GDTs) of stone masonry elements with detail down to the stone level. For this purpose, we acquire RGB images of the individual stones and of the wall during the construction phase ...

In this thesis, we advocate that Computer-Aided Engineering could benefit from a Geometric Deep Learning revolution, similarly to the way that Deep Learning revolutionized Computer Vision. To do so, we consider a variety of Computer-Aided Engineering pr ...

This dataset contains quantitative student data acquired during the administration of a new computational thinking assessment for upper primary school (grades 3 and 4). Over 1500 students (approximately half in grade 3 and half in grade 4) participated in ...

The human face plays an essential role in social interactions as it brings information about someone's identity, state of mind, or mood. People are, by nature, very good at catching this non-spoken information. Therefore, scientists have been interested in ...

Information retrieval (IR) systems such as search engines are important for people to find what they need among the tremendous amount of data available in their organization or on the Internet. These IR systems enable users to search in a large data collec ...

It is urgent to understand how to effectively communicate public health messages during the COVID-19 pandemic. Previous work has focused on how to formulate messages in terms of style and content, rather than on who should send them. In particular, little ...

Nowadays, transmission system operators require higher degree of observability in real-time to gain situational awareness and improve the decision-making process to guarantee a safe and reliable operation. Digitalization of energy systems allows utilities ...

In this paper, we propose a novel unsupervised approach for sequence matching by explicitly accounting for the locality properties in the sequences. In contrast to conventional approaches that rely on frame-to-frame matching, we conduct matching using sequ ...

In serial dependence (SD), features of a present stimulus are judged as similar to previously presented ones. This bias is often explained by a continuity field (CF) in perception, combining similar stimuli in an extended region of space (∼ 15°) and time ( ...

Current research of designing prosthetic robotic hands mainly focuses on improving their functionality by devising new mechanical structures and actuation systems. Most of existing work relies on a single structure/system (e.g., bone-only or tissue-only) a ...

Towards 3D facial morphometry : facial image analysis applications in anesthesiology and 3D spectral nonrigid registration

Chattez avec Graph Search

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

A Novel Framework for Assessment of Deep Face Recognition Systems in Realistic Conditions

Image-based geometric digital twinning for stone masonry elements

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Dataset for the validation of a Computational Thinking test for upper primary school (grades 3-4)

Model-based 3D Face Reconstruction

Graph Embedding for Retrieval

The effect of spokesperson attribution on public health message sharing during the COVID-19 pandemic

State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching

The time course of serial dependence: an interplay between perceptual decisions and task relevant representations

Fast 3D Modeling of Prosthetic Robotic Hands Based on a Multi-Layer Deformable Design