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Related publications (15)

Computational Imaging SPAD Cameras

Vision systems built around conventional image sensors have to read, encode and transmit large quantities of pixel information, a majority of which is redundant. As a result, new computational imaging sensor architectures were developed to preprocess the r ...

EPFL2023

Human Detection and Segmentation via Multi-view Consensus

Pascal Fua, Mathieu Salzmann, Isinsu Katircioglu, Helge Jochen Rhodin

Self-supervised detection and segmentation of foreground objects aims for accuracy without annotated training data. However, existing approaches predominantly rely on restrictive assumptions on appearance and motion. For scenes with dynamic activities and ...

IEEE2021

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation

Alexandre Massoud Alahi, Radu Timofte

Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces due to their ability to scale to different resolutions. However, despite the success of deep learning-based models applied to rasterized images, the problem of vector graphics representa ...

2020

pyGenomeTracks: reproducible plots for multivariate genomic datasets

Lucille Delisle

Motivation Generating publication ready plots to display multiple genomic tracks can pose a serious challenge. Making desirable and accurate figures requires considerable effort. This is usually done by hand or using a vector graphic software. ...

2020

Point cloud quality evaluation: Towards a definition for test conditions

Touradj Ebrahimi, Evangelos Alexiou, Rafael Xavier Meriade Duarte

Recently stakeholders in the area of multimedia representation and transmission have been looking at plenoptic technologies to improve immersive experience. Among these technologies, point clouds denote a volumetric information representation format with i ...

2019

A method for voxel ray-casting of scenes on a whole screen

Robin Mange

A method for screen-space voxel ray-casting of scenes on a whole screen. The method comprises providing a graphics card; rendering seamlessly any one of the following list of primitives containing at least polygons, voxels; using a GPU pipeline of the grap ...

2019

Compressed imaging by sparse random convolution

Theo Lasser, Aurélien Bourquard, Antonio Lopez

The theory of compressed sensing (CS) shows that signals can be acquired at sub-Nyquist rates if they are sufficiently sparse or compressible. Since many images bear this property, several acquisition models have been proposed for optical CS. An interestin ...

Optical Society of America2016

Automatic Color Palette Creation from Words

Sabine Süsstrunk, Albrecht Johannes Lindner

We present an automatic framework to extract color palettes from words. This is a novel approach in comparison to existing solutions, e.g. manual creation or extraction from images. The associations between words and colors are deduced from a large databas ...

2013

Semantic Awareness for Automatic Image Interpretation

Albrecht Johannes Lindner

Finding relations between image semantics and image characteristics is a problem of long standing in computer vision and related fields. Despite persistent efforts and significant advances in the field, today’s computers are still strikingly unable to achi ...

EPFL2013

Semantic-Driven Selection of Printer Color Rendering Intents

Sabine Süsstrunk, Albrecht Johannes Lindner

In this paper we introduce a unified framework that automatically selects the optimal color rendering intent for a given print job. We first present how we extract information from both the image features and the semantic information contained in keywords ...

2012

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