Publications associées à Structure tensor

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Pascal Frossard, Chenglin Li, Li Wei, Qin Yang, Yuelei Li

Viewers of 360-degree videos are provided with both visual modality to characterize their surrounding views and audio modality to indicate the sound direction. Though both modalities are important for saliency prediction, little work has been done by joint ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Learned Compressive Representations for Single-Photon 3D Imaging

Edoardo Charbon, Claudio Bruschini, Andrei Ardelean, Mohit Gupta

Single-photon 3D cameras can record the time-of-arrival of billions of photons per second with picosecond accuracy. One common approach to summarize the photon data stream is to build a per-pixel timestamp histogram, resulting in a 3D histogram tensor that ...

Ieee Computer Soc2023

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Edoardo Charbon, Andrei Ardelean, Mohit Gupta

Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devices. Photon ...

Ieee Computer Soc2023

Investigating the effects of pre-stimulus activity on spatio-temporal feature integration

Michael Herzog, David Pascucci, Maëlan Quentin Menétrey

Pre-stimulus brain activity is thought to modulate visual perception. However, the underlying processes are strongly debated. Moreover, the role of pre-stimulus activity beyond tasks with single, simple stimuli is largely unknown. Here, we analyzed electro ...

2021

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by a composite framewise ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2020

Expedited Screening of Active and Regioselective Catalysts for the Hydroformylation Reaction

Matthew Wodrich, Michael Markus Busch

The discovery of new homogeneous catalysts that preferentially form one product over another in regio- or enantioselective chemical reactions has traditionally been the province of experimental chemists. Today, computational-based approaches have carved an ...

WILEY-V C H VERLAG GMBH2018

Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks

Michael Stefan Daniel Liebling, Adrian Shajkofci

We present a semi-blind, spatially-variant deconvolution technique aimed at optical microscopy that combines a local estimation step of the point spread function (PSF) and deconvolution using a spatially variant, regularized Richardson-Lucy algorithm. To f ...

2018

Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks

Michael Stefan Daniel Liebling, Adrian Shajkofci

Idiap2018

Transforms and Operators for Directional Bioimage Analysis: A Survey

Michaël Unser, Daniel Sage, Zsuzsanna Püspöki, Martin Kurt Storath

We give a methodology-oriented perspective on directional image analysis and rotation-invariant processing. We review the state of the art in the field and make connections with recent mathematical developments in functional analysis and wavelet theory. We ...

Springer International Publishing2016

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Structure tensor

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Learned Compressive Representations for Single-Photon 3D Imaging

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Investigating the effects of pre-stimulus activity on spatio-temporal feature integration

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Expedited Screening of Active and Regioselective Catalysts for the Hydroformylation Reaction

Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks

Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks

3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms

Transforms and Operators for Directional Bioimage Analysis: A Survey

Graph Chatbot

Chattez avec Graph Search

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Learned Compressive Representations for Single-Photon 3D Imaging

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Investigating the effects of pre-stimulus activity on spatio-temporal feature integration

Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks

Transforms and Operators for Directional Bioimage Analysis: A Survey

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Expedited Screening of Active and Regioselective Catalysts for the Hydroformylation Reaction

Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks

3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms