activity
20082023
most citedThe Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains

4.6k citations · 7.9k across the 144 of their papers we have counts for

collaborators
Showing 2015Show all

9 papers · 1 filter

cs.LG2015★ 113 cited

DeepFool: a simple and accurate method to fool deep neural networks

Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard

State-of-the-art deep neural networks have achieved impressive results on many image classification tasks. However, these same architectures have been shown to be unstable to small…

cs.MM2015★ 1 cited

In-Network View Synthesis for Interactive Multiview Video Systems

Laura Toni, Gene Cheung, Pascal Frossard

To enable Interactive multiview video systems with a minimum view-switching delay, multiple camera views are sent to the users, which are used as reference images to synthesize add…

cs.CV2015

Manitest: Are classifiers really invariant?

Alhussein Fawzi, Pascal Frossard

Invariance to geometric transformations is a highly desirable property of automatic classifiers in many image recognition tasks. Nevertheless, it is unclear to which extent state-o…

cs.MM2015★ 3 cited

Optimal Layered Representation for Adaptive Interactive Multiview Video Streaming

Ana De Abreu, Laura Toni, Nikolaos Thomos +3

We consider an interactive multiview video streaming (IMVS) system where clients select their preferred viewpoint in a given navigation window. To provide high quality IMVS, many h…

cs.CV2015★ 231 cited

Graph-based compression of dynamic 3D point cloud sequences

Dorina Thanou, Philip A. Chou, Pascal Frossard

This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud…

cs.NI2015★ 11 cited

Improved Utility-based Congestion Control for Delay-Constrained Communication

Stefano D'Aronco, Laura Toni, Sergio Mena +2

Due to the presence of buffers in the inner network nodes, each congestion event leads to buffer queueing and thus to an increasing end-to-end delay. In the case of delay sensitive…