Publications associées à Stereo Vision Matching using Characteristics Vectors

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Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

François Fleuret, Anton Ivanov, Stepan Tulyakov

End-to-end deep-learning networks recently demonstrated extremely good performance for stereo matching. However, existing networks are difficult to use for practical applications since (1) they are memory-hungry and unable to process even modest-size image ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Large-Scale Image Segmentation with Convolutional Networks

Pedro Henrique Oliveira Pinheiro

Object recognition is one of the most important problems in computer vision. However, visual recognition poses many challenges when tried to be reproduced by artificial systems. A main challenge is the problem of variability: objects can appear across huge ...

EPFL2017

Large-Scale Image Segmentation with Convolutional Networks

Pedro Henrique Oliveira Pinheiro

Sciences et Techniques de l’Ingénieur (STI)2017

Iterative image subset processing for image reconstruction

Paul Hurley, Matthieu Martin Jean-André Simeoni, Giovanni Cherubini, Sanaz Kazemi

The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest a ...

2017

Exploiting Large Image Sets for Road Scene Parsing

Mathieu Salzmann

There is an increasing interest in exploiting multiple images for scene understanding, with great progress in areas such as cosegmentation and video segmentation. Jointly analyzing the images in a large set offers the opportunity to exploit a greater sourc ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Building Scene Models by Completing and Hallucinating Depth and Semantics

Mathieu Salzmann

Building 3D scene models has been a longstanding goal of computer vision. The great progress in depth sensors brings us one step closer to achieving this in a single shot. However, depth sensors still produce imperfect measurements that are sparse and cont ...

Springer Int Publishing Ag2016

RF inductive probe to measure plasma complex conductivity

Ivo Furno, Alan Howling, Philippe Frédérique Bruno Guittienne, Rémy Jacquier

Invited talk, publication in 2017: Electromagnetic, complex image model of a large area RF resonant antenna as inductive plasma source Ph Guittienne, R Jacquier, A A Howling, and I Furno. Plasma Sources, Sci. Technol. 26, 035010 (2017). ...

2016

Template-free 3D Reconstruction of Poorly-textured Nonrigid Surfaces

Mathieu Salzmann, Xinchao Wang, Fei Wang

Two main classes of approaches have been studied to perform monocular nonrigid 3D reconstruction: Template-based methods and Non-rigid Structure from Motion techniques. While the first ones have been applied to reconstruct poorly-textured surfaces, they as ...

Springer Int Publishing Ag2016

Stereo Vision Matching using Characteristics Vectors

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Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

Tracking Skyrmion Motion with matlab

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Iterative image subset processing for image reconstruction

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

Exploiting Large Image Sets for Road Scene Parsing

Building Scene Models by Completing and Hallucinating Depth and Semantics

RF inductive probe to measure plasma complex conductivity

Template-free 3D Reconstruction of Poorly-textured Nonrigid Surfaces

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Template-free 3D Reconstruction of Poorly-textured Nonrigid Surfaces

Building Scene Models by Completing and Hallucinating Depth and Semantics

Iterative image subset processing for image reconstruction

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

Exploiting Large Image Sets for Road Scene Parsing

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

Tracking Skyrmion Motion with matlab

RF inductive probe to measure plasma complex conductivity