Publications de Pascal Frossard

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The construction of low-dimensional models explaining high-dimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern transformation manifold models generated by in-plane geometric transformation ...

Autonomous vehicles (AVs) rely on accurate and robust sensor observations for safety-critical decision making in a variety of conditions. The fundamental building blocks of such systems are sensors and classifiers that process ultrasound, radar, GPS, lidar ...

The 3D localisation of an object and the estimation of its properties, such as shape and dimensions, are challenging under varying degrees of transparency and lighting conditions. In this paper, we propose a method for jointly localising container-like obj ...

Accurate and fast segmentation of nuclei in histopathological images plays a crucial role in cancer research for detection and grading, as well as personal treatment. Despite the important efforts, current algorithms are still suboptimal in terms of speed, ...

Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and functions defined on the vertex set of the graph. We propose a regularization ...

We propose a new method for the visual quality assessment of 360-degree (omnidirectional) videos. The proposed method is based on computing multiple spatio-temporal objective quality features on viewports extracted from 360-degree videos. A new model is le ...

We consider streaming of pre-encoded and packetized media over best-effort networks in presence of acknowledgment feedbacks. We first review the rate-distortion optimization framework in such scenarios. Given an estimation of future transmission resources, ...

Deep Neural Networks have achieved extraordinary results on image classification tasks, but have been shown to be vulnerable to attacks with carefully crafted perturbations of the input data. Although most attacks usually change values of many image's pixe ...

Graph inference methods have recently attracted a great interest from the scientific community, due to the large value they bring in data interpretation and analysis. However, most of the available state-of-the-art methods focus on scenarios where all avai ...

This paper addresses the problem of optimizing the playback delay experienced by a population of heterogeneous clients, in video streaming applications. We consider a typical broadcast scenario, where clients subscribe to different portions of a scalable v ...

In this paper, we propose a distributed rate allocation algorithm for delay minimal data delivery in overlay networks where multiple sources compete simultaneously for the available network resources. In order to efficiently utilize the network resources, ...

We consider a multi-source delivery system, where Raptor coding at sources and linear network coding in overlay nodes work in concert for efficient data delivery in networks with diversity. Such a combination permits to increase throughput and loss resilie ...

For certain infinitely-wide neural networks, the neural tangent kernel (NTK) theory fully characterizes generalization, but for the networks used in practice, the empirical NTK only provides a rough first-order approximation. Still, a growing body of work ...

Pascal Frossard

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Approximation of Pattern Transformation Manifolds with Parametric Dictionaries

Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective

Multi-View Shape Estimation of Transparent Containers

Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

Error control for Video Streaming with Small Data Units

A Regularization Framework for Mobile Social Network Analysis

Multi-Feature 360 Video Quality Estimation

Graph Transform Learning for Image Compression

The virtue of patience in low complexity scheduling of packetized media with feedback

SparseFool: a few pixels make a big difference

A Performance Study of the Tangent Distance Method in Transformation-Invariant Image Classification

Graph Heat Mixture Model Learning

Playback Delay Optimization in Scalable Video Streaming

Distributed Rate Allocation With Intersession Network Coding

Degree Distribution Optimization in Raptor Network Coding

Finding “Who is talking to whom” in VoIP Networks via Progressive Stream Clustering

Joint Network and Rate Allocation for Video Streaming over Multiple Wireless Networks

A non-stationary hidden Markov model for multiview video traffic

What can linearized neural networks actually say about generalization?

Analysis of classifiers' robustness to adversarial perturbations