Publications de Pascal Frossard

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BackgroundAngiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).AIMSWe compared the ability of humans, angiographic parameters and deep learning (DL ...

Graph signals offer a very generic and natural representation for data that lives on networks or irregular structures. The actual data structure is however often unknown a priori but can sometimes be estimated from the knowledge of the application domain. ...

We examine the problem of image registration when images have a sparse representation in a dictionary of geometric features. We propose a novel algorithm for aligning images by pairing their sparse components. We show numerically that this algorithm works well in practice and analyze key properties on the dictionary that drive the registration performance. We compare these properties to existing characterizations of redundant dictionaries (i.e., coherence, restricted isometry property) and show that the new

In contrary to traditional media streaming services where a unique media content is delivered to different users, interactive multiview navigation applications enable users to choose their own viewpoints and freely navigate in a three-dimensional scene. Th ...

We are interested in multilayer graph clustering, which aims at dividing the graph nodes into categories or communities. To do so, we propose to learn a clustering-friendly embedding of the graph nodes by solving an optimization problem that involves a fid ...

Several multiview video coding standards have been developed to efficiently compress images from different camera views capturing the same scene by exploiting the spatial, the temporal and the interview correlations. However, the compressed texture and dep ...

This paper addresses the problem of sensing or recovering a signal s, captured by distributed low-complexity sensors. Each sensor observes a noisy version of the signal of interest, and independently forms an approximant of its observation. This approximan ...

This paper addresses the problem of interpolating signals defined on a 2-d sphere from non-uniform samples. We present an interpolation method based on locally weighted linear and nonlinear regression, which takes into account the differences in importance ...

This paper presents a receiver-driven video delivery algorithm that exploits a novel Randomized Network Coding (RNC) scheme for unequal error protection (UEP). The main idea of our approach is to account for the unequal importance of media packets in the n ...

This paper addresses the problem of correct recovery of multiple sparse correlated signals using distributed thresholding. We consider the scenario where multiple sensors capture the same event, but observe different signals that are correlated by local tr ...

This paper proposes a tree-based pursuit algorithm that efficiently trades off complexity and approximation performance for overcomplete signal expansions. Finding the sparsest representation of a signal using a redundant dictionary is, in general, a NP-Ha ...

This paper presents a method for multiple description coding, by clustering generic redundant dictionaries into blocks of N atoms. Since these blocks are likely to gather coherent atoms, the encoder can distribute atoms from the same coherent block to different descriptions, without important penalty on the side distortion. In the same time, atoms from the same blocks are sufficiently different, such that they contribute together to efficiently lowering the central distortion. As opposed to state-of-the-art

This paper presents a new method for learning overcomplete dictionaries adapted to efficient joint representation of stereo images. We first formulate a sparse stereo image model where the multi-view correlation is described by local geometric transforms o ...

HTTP adaptive streaming (HAS) has become the universal technology for video streaming over the Internet. Many HAS system designs aim at sharing the network bandwidth in a rate-fair manner. However, rate fairness is in general not equivalent to quality fair ...

We present a new descriptor and feature matching solution for omnidirectional images. The descriptor builds on the log-polar planar descriptors, but adapts to the specific geometry and non-uniform sampling density of spherical images. We further propose a ...

Here we catalog, visually demonstrate, and discuss the main causes of commonly encountered visual distortions into current 360-degree video processing pipelines. The main goal of the samples in this dataset is to demonstrate the visual distortions discusse ...

We propose a new viewport-based multi-metric fusion (MMF) approach for visual quality assessment of 360-degree (omnidirectional) videos. Our method is based on computing multiple spatio-temporal objective quality metrics (features) on viewports extracted f ...

In this work, we borrow tools from the field of adversarial robustness, and propose a new framework that permits to relate dataset features to the distance of samples to the decision boundary. Using this framework we identify the subspace of features used ...

Deep neural networks have recently shown impressive classification performance on a diverse set of visual tasks. When deployed in real-world (noise-prone) environments, it is equally important that these classifiers satisfy robustness guarantees: small per ...

Intra-session network coding has been shown to offer significant gains in terms of achievable throughput and delay in settings where one source multicasts data to several clients. In this paper, we consider a more general scenario where multiple sources tr ...

Pascal Frossard

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Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

Graph learning under sparsity priors

A geometric framework for registration of sparse images

Optimized Data Representation for Interactive Multiview Navigation

Multilayer Graph Clustering With Optimized Node Embedding

Optimizing Multiview Video plus Depth Prediction Structures for Interactive Multiview Video Streaming

Distributed sensing of noisy signals by thresholding of redundant expansions

Nonparametric Least Squares Regression for Image Reconstruction on the Sphere

Randomized network coding for UEP video delivery in overlay networks

Conditions for recovery of sparse signals correlated by local transforms

Tree-Based Pursuit: Algorithm and Properties

Multiple Description Image Coding with Block-Coherent Redundant Dictionaries

Dictionary learning in stereo imaging

Price-based Controller for Quality-Fair HTTP Adaptive Streaming

Sampling-aware Polar Descriptors on the Sphere

Visual Distortions in 360-degree videos (Dataset)

A Viewport-driven Multi-metric Fusion Approach for 360-Degree Video Quality Assessment

Redundant features can hurt robustness to distribution shift

The Robustness of Deep Networks - A geometric perspective

Decoding Delay Minimization in Inter-Session Network Coding