Publications associées à Anaglyphe

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

In the current deep learning paradigm, the amount and quality of training data are as critical as the network architecture and its training details. However, collecting, processing, and annotating real data at scale is difficult, expensive, and time-consum ...

Ieee Computer Soc2023

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Sahand Jamal Rahi, Kseniia Korchagina

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

Berlin2023

Edoardo Charbon, Claudio Bruschini, Paul Mos, Arin Can Ülkü

The correlation properties of light provide an outstanding tool to overcome the limitations of traditional imaging techniques. A relevant case is represented by correlation plenoptic imaging (CPI), a quantum-inspired volumetric imaging protocol employing s ...

NATURE PORTFOLIO2023

Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks

Pascal Fua, Cécile Hébert, Emad Oveisi, Gulnaz Ganeeva, Anastasiia Mishchuk, Okan Altingövde

Efficient analysis of the three-dimensional (3D) shape and distribution of curvilinear crystal defects, namely dislocations, is an open research topic in material science and computer vision. In order to determine the structural and opto-electrical charact ...

2021

Object identity determines trans-saccadic integration

Michael Herzog, Leila Drissi Daoudi - Kleinbauer

Humans make two to four rapid eye movements (saccades) per second, which, surprisingly, does not lead to abrupt changes in vision. To the contrary, we perceive a stable world. Hence, an important question is how information is integrated across saccades. T ...

2020

Self-Blinking Dyes Unlock High-Order and Multiplane Super-Resolution Optical Fluctuation Imaging

Theo Lasser, Aleksandra Radenovic, Tomas Lukes

Most diffraction-unlimited super-resolution imaging critically depends on the switching of fluorophores between at least two states, often induced using intense laser light and specialized buffers or UV radiation. Recently, so-called self-blinking dyes tha ...

AMER CHEMICAL SOC2020

Fast generation of ultrastable computer glasses by minimization of an augmented potential energy

Matthieu Wyart, Carolina Brito Carvalho dos Santos, Wencheng Ji

We present a model and protocol that enable the generation of extremely stable computer glasses at minimal computational cost. The protocol consists of an instantaneous quench in an augmented potential energy landscape, with particle radii as additional de ...

AMER PHYSICAL SOC2019

Multi-spectral image priniting method

Martin Vetterli, Yves Bellouard, Arnaud Latty, Adam James Scholefield, Gilles Baechler, Michalina Wanda Pacholska

The present disclosure concerns a multi-spectral image printing method. The method includes the steps of: - providing a multi-spectral image; - providing a material; - determining changes in a refractive index value of the material permitting to reproduce ...

2019

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Anaglyphe

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Correlated-photon imaging at 10 volumetric images per second

Deep eyes: Joint depth inference using monocular and binocular cues

Megapixel SPAD cameras for time-resolved applications

Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks

Object identity determines trans-saccadic integration

Self-Blinking Dyes Unlock High-Order and Multiplane Super-Resolution Optical Fluctuation Imaging

Fast generation of ultrastable computer glasses by minimization of an augmented potential energy

Multi-spectral image priniting method

Graph Chatbot

Chattez avec Graph Search

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Correlated-photon imaging at 10 volumetric images per second

Deep eyes: Joint depth inference using monocular and binocular cues

Megapixel SPAD cameras for time-resolved applications

Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks

Object identity determines trans-saccadic integration

Self-Blinking Dyes Unlock High-Order and Multiplane Super-Resolution Optical Fluctuation Imaging

Fast generation of ultrastable computer glasses by minimization of an augmented potential energy

Multi-spectral image priniting method