User-independent classification of 2D versus 3D multimedia experiences through EEG and physiological signals

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The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

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 ...

To obtain a more complete understanding of material microstructure at the nanoscale and to gain profound insights into their properties, there is a growing need for more efficient and precise methods that can streamline the process of 3D imaging using a tr ...

In recent years, there has been a significant revolution in the field of deep learning, which has demonstrated its effectiveness in automatically capturing intricate patterns from large datasets. However, the majority of these successes in Computer Vision ...

Many approaches to draping individual garments on human body models are realistic, fast, and yield outputs that are differentiable with respect to the body shape on which they are draped. However, they are either unable to handle multi-layered clothing, wh ...

This work studies the nearshore hydrodynamics of a shallow turbulent flow entering a laterally unconfined quiescent ambient with a sloping bottom boundary. Examples of such flow are neutrally buoyant ebb tidal jets and hyperpycnal river plumes entering ope ...

In the past decade, optical diffraction tomography has gained a lot of attention for its ability to create label-free three-dimensional (3D) images of the refractive index distribution of biological samples using scattered fields measured through holograph ...

Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from keypoint correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with correspondence errors. T ...

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 ...

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 ...

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 ...

In this work we perform a neutron Bragg edge tomography of stainless steel 316L additive manufacturing samples, one as built via standard laser powder bed fusion, and one using the novel three-dimensional (3D) laser shock peening technique. First, we consi ...

We review the advancement of the research toward the design and implementation of quantum plenoptic cameras, radically novel 3D imaging devices that exploit both momentum–position entanglement and photon–number correlations to provide the typical refocusin ...

Progress in optics technology has enriched our daily lives in many ways. Various types of single-photon detector technologies have emerged in the last century. Among these, single-photon avalanche diode (SPAD) technology outperforms other detectors for its ...

Human visual system relies on both monocular focusness cues and binocular stereo cues to gain effective 3D perception. Correspondingly, depth from focus/defocus (DfF/DfD) and stereo matching are two most studied passive depth sensing schemes, which are tra ...

The cameras are invented by imitating the human visual system to capture the scene. The camera technologies have been substantially advanced in recent years. 108 MP resolution with 100x hybrid zoom has become standard features for smartphone flagships. In ...

Omnidirectional imaging has reached a level of widespread availability driven by recent advances in integrated circuit technology, image sensors, and computer graphics which allow now capturing, rendering and displaying of such type of immersive content in ...

CNN-based volumetric methods that label individual voxels now dominate the field of biomedical segmentation. However, 3D surface representations are often required for proper analysis. They can be obtained by post-processing the labeled volumes which typic ...

Engineering two-/three-dimensional (2D/3D) perovskite solar cells is nowadays a popular strategy for efficient and stable devices. However, the exact function of the 2D/3D interface in controlling the long-term device behavior is still obscure. Here, we re ...

Perovskite light-emitting diodes (PeLEDs) based on three-dimensional (3D) polycrystalline perovskites suffer from ion migration, which causes overshoot of luminance over time during operation and reduces its operational lifetime. Here, we demonstrate 3D/2D ...

User-independent classification of 2D versus 3D multimedia experiences through EEG and physiological signals

Chattez avec Graph Search

3D diffractive optics for linear interconnects and nonlinear processing

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

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Deep Learning for 3D Surface Modelling and Reconstruction

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Laterally unconfined neutral or negative buoyancy inflow into a quiescent ambient over sloping bottom

Exploring Novel Modalities for Optical Diffraction Tomography

Robust Isometric Non-Rigid Structure-From-Motion

Image-based geometric digital twinning for stone masonry elements

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

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

Bragg edge tomography characterization of additively manufactured 316L steel

Towards Quantum 3D Imaging Devices

Megapixel SPAD cameras for time-resolved applications

Deep eyes: Joint depth inference using monocular and binocular cues

Beyond Cameras: Real-Time High-Resolution 3D and Panoramic MultiView Vision Systems with Their Applications

Visual Attention and Perceptual Quality in Omnidirectional Imaging

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

Dynamical evolution of the 2D/3D interface: a hidden driver behind perovskite solar cell instability

Proton-transfer-induced 3D/2D hybrid perovskites suppress ion migration and reduce luminance overshoot