Height And Weight Estimation From Unconstrained Images

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This manuscript details and extends the system identification methods leveraging the backpropagation (SIMBa) toolbox presented in previous work, which uses well-established machine learning tools for discrete-time linear multistep-ahead state-space system ...

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We propose InNeRF360, an automatic system that accurately removes text-specified objects from 360 • Neural Radiance Fields (NeRF). The challenge is to effectively remove objects while inpainting perceptually consistent content for the missing regions, whic ...

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

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Providing adequate glare protection and a view to the outside through fabric shading devices is challenging because these two objectives require conflicting material properties for a fully lowered shading. In a semi -controlled office-like experiment invol ...

Non-linear partial differential Kolmogorov equations are successfully used to describe a wide range of time dependent phenomena, in natural sciences, engineering or even finance. For example, in physical systems, the Allen-Cahn equation describes pattern f ...

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Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in human-centric fields. We im ...

The present bi-partite work describes the development and validation of a mechanistic kinetic model of SODIS E. coli inactivation, enhanced with H2O2. In this first part, the mechanism of the baseline dark phenomena is modelled. A mechanistic model involvi ...

Magnetic manipulation is a method used for biomedical applications to remotely control micro-robots in a contactless manner. The electromagnet manipulator should control a magnetic field with 3 degrees of freedom inside a region of interest. In various cas ...

Deep learning-based approaches to delineating 3D structure depend on accurate annotations to train the networks. Yet in practice, people, no matter how conscientious, have trouble precisely delineating in 3D and on a large scale, in part because the data i ...

Height And Weight Estimation From Unconstrained Images

Chattez avec Graph Search

Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting

Capturing behavioral and neural variability in multi-area spiking neuronal network models

SIMBa: System Identification Methods Leveraging Backpropagation

Reliable data-driven decision-making through optimal transport

Drone‐Based Solar Cell Inspection With Autonomous Deep Learning

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360° Neural Radiance Fields

Aggregating Spatial and Photometric Context for Photometric Stereo

Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions

Euclid: Identification of asteroid streaks in simulated images using deep learning

User assessment of fabric shading devices with a low openness factor

Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Toward higher-performance bionic limbs for wider clinical use

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Large-scale detection of marine debris in coastal areas with Sentinel-2

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Topology Optimization of an Electromagnet Manipulator for 3D Uniform Magnetic Field

Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate