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papers

Publications (87)

cs.MM2016

Optimal Representations for Adaptive Streaming in Interactive Multi-View Video Systems

Laura Toni, Pascal Frossard

stat.ML2018

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise

Arun Venkitaraman, Pascal Frossard, Saikat Chatterjee

cs.LG2014

Learning parametric dictionaries for graph signals

Dorina Thanou, David I Shuman, Pascal Frossard

cs.IT2008

Polynomial Filtering for Fast Convergence in Distributed Consensus

Effrosyni Kokiopoulou, Pascal Frossard

cs.LG2018

Robustness via curvature regularization, and vice versa

Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato +1

cs.MM2012

Network Coding Meets Multimedia: a Review

Enrico Magli, Mea Wang, Pascal Frossard +1

cs.MM2016

Object Shape Approximation & Contour Adaptive Depth Image Coding for Virtual View Synthesis

Yuan Yuan, Gene Cheung, Patrick Le Callet +2

stat.ML2015

Multi-task additive models with shared transfer functions based on dictionary learning

Alhussein Fawzi, Mathieu Sinn, Pascal Frossard

cs.MM2015

Optimal Layered Representation for Adaptive Interactive Multiview Video Streaming

Ana De Abreu, Laura Toni, Nikolaos Thomos +3

cs.SI2015

Multiscale Event Detection in Social Media

Xiaowen Dong, Dimitrios Mavroeidis, Francesco Calabrese +1

cs.CV2012

Rate-Distortion Analysis of Multiview Coding in a DIBR Framework

Boshra Rajaei, Thomas Maugey, Hamid-Reza Pourreza +1

cs.MM2012

Interactive multiview video system with non-complex navigation at the decoder

Thomas Maugey, Pascal Frossard

cs.CV2015

Graph-based compression of dynamic 3D point cloud sequences

Dorina Thanou, Philip A. Chou, Pascal Frossard

cs.MM2012

Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice-Parallel Video Decoders on Multicore Systems

Nicholas Mastronarde, Karim Kanoun, David Atienza +2

cs.LG2016

Learning heat diffusion graphs

Dorina Thanou, Xiaowen Dong, Daniel Kressner +1

cs.DC2011

Chebyshev Polynomial Approximation for Distributed Signal Processing

David I Shuman, Pierre Vandergheynst, Pascal Frossard

cs.IT2012

Decoding Delay Minimization in Inter-Session Network Coding

Eirina Bourtsoulatze, Nikolaos Thomos, Pascal Frossard

cs.NI2011

Distributed sensor failure detection in sensor networks

Tamara Tosic, Nikolaos Thomos, Pascal Frossard

cs.LG2019

A geometry-inspired decision-based attack

Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

cs.MM2015

In-Network View Synthesis for Interactive Multiview Video Systems

Laura Toni, Gene Cheung, Pascal Frossard

cs.CV2019

SparseFool: a few pixels make a big difference

Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

cs.NI2011

Approximate Decoding Approaches for Network Coded Correlated Data

Hyunggon Park, Nikolaos Thomos, Pascal Frossard

cs.LG2011

Clustering with Multi-Layer Graphs: A Spectral Perspective

Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst +1

cs.CV2011

Correlation Estimation from Compressed Images

Vijayaraghavan Thirumalai, Pascal Frossard

cs.CV2017

Light Field Super-Resolution Via Graph-Based Regularization

Mattia Rossi, Pascal Frossard

cs.CV2017

Graph-Based Classification of Omnidirectional Images

Renata Khasanova, Pascal Frossard

cs.IT2014

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

Nikolaos Thomos, Eymen Kurdoglu, Pascal Frossard +1

cs.CV2015

Manitest: Are classifiers really invariant?

Alhussein Fawzi, Pascal Frossard

cs.DM2013

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

David I Shuman, Sunil K. Narang, Pascal Frossard +2

cs.LG2019

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

cs.IT2015

Reconstruction of Network Coded Sources From Incomplete Datasets

Eirina Bourtsoulatze, Nikolaos Thomos, Pascal Frossard

cs.IT2018

IRSA Transmission Optimization via Online Learning

Laura Toni, Pascal Frossard

cs.CV2013

Image registration with sparse approximations in parametric dictionaries

Alhussein Fawzi, Pascal Frossard

cs.LG2019

Graph heat mixture model learning

Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard

cs.LG2016

Learning Laplacian Matrix in Smooth Graph Signal Representations

Xiaowen Dong, Dorina Thanou, Pascal Frossard +1

cs.DS2009

A note on the data-driven capacity of P2P networks

Jacob Chakareski, Pascal Frossard, Hervé Kerivin +2

cs.MM2011

Selection of network coding nodes for minimal playback delay in streaming overlays

Nicolae Cleju, Nikolaos Thomos, Pascal Frossard

cs.CV2017

Universal adversarial perturbations

Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi +1

eess.SP2018

Graph Signal Representation with Wasserstein Barycenters

Effrosyni Simou, Pascal Frossard

cs.CV2012

Learning Smooth Pattern Transformation Manifolds

Elif Vural, Pascal Frossard

cs.DC2017

Distributed Signal Processing via Chebyshev Polynomial Approximation

David I Shuman, Pierre Vandergheynst, Daniel Kressner +1

cs.CV2011

Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements

Vijayaraghavan Thirumalai, Pascal Frossard

cs.IT2019

Graph Transform Optimization with Application to Image Compression

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

The paper introduces a graph‑based transform that jointly optimizes signal and graph coding for image compression, using a novel graph estimation method that treats edge weights as…

#graph signal processing#transform coding#image compression#rate-distortion optimization
cs.NI2012

Thresholding-based reconstruction of compressed correlated signals

Alhussein Fawzi, Tamara Tosic, Pascal Frossard

cs.CV2009

Graph-based classification of multiple observation sets

Effrosyni Kokiopoulou, Pascal Frossard

cs.NI2017

Price-based Controller for Quality-Fair HTTP Adaptive Streaming (Extended Version)

Stefano D'Aronco, Laura Toni, Pascal Frossard

cs.MM2012

Collaborative P2P Streaming of Interactive Live Free Viewpoint Video

Dongni Ren, S. -H. Gary Chan, Gene Cheung +2

cs.MM2016

Optimal Lagrange Multipliers for Dependent Rate Allocation in Video Coding

Ana De Abreu, Gene Cheung, Pascal Frossard +1

cs.CV2014

Dictionary learning for fast classification based on soft-thresholding

Alhussein Fawzi, Mike Davies, Pascal Frossard

cs.IT2011

Correlation-aware Resource Allocation in Multi-Cell Networks

Dorna Bandari, Gregory Pottie, Pascal Frossard

cs.MM2013

A Poisson Hidden Markov Model for Multiview Video Traffic

Lorenzo Rossi, Jacob Chakareski, Pascal Frossard +1

stat.CO2013

Tangent space estimation for smooth embeddings of Riemannian manifolds

Hemant Tyagi, Elif Vural, Pascal Frossard

cs.MM2013

Graph-based representation for multiview image coding

Thomas Maugey, Antonio Ortega, Pascal Frossard

cs.LG2013

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst +1

cs.MM2013

Navigation domain representation for interactive multiview imaging

Thomas Maugey, Ismael Daribo, Gene Cheung +1

cs.LG2016

Robustness of classifiers: from adversarial to random noise

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

cs.LG2019

Learning graphs from data: A signal representation perspective

Xiaowen Dong, Dorina Thanou, Michael Rabbat +1

cs.MM2017

Optimized Data Representation for Interactive Multiview Navigation

Rui Ma, Thomas Maugey, Pascal Frossard

cs.CV2017

Classification regions of deep neural networks

Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard +1

cs.CV2017

Graph-based Isometry Invariant Representation Learning

Renata Khasanova, Pascal Frossard

cs.IT2015

Prioritized Random MAC Optimization via Graph-based Analysis

Laura Toni, Pascal Frossard

cs.IT2016

Finite Length Performance of Random Slotted ALOHA Strategies

Konstantinos Dovelos, Laura Toni, Pascal Frossard

cs.CV2011

Discretization of Parametrizable Signal Manifolds

Elif Vural, Pascal Frossard

cs.CV2018

Isometric Transformation Invariant Graph-based Deep Neural Network

Renata Khasanova, Pascal Frossard

cs.IT2018

Supervised Linear Regression for Graph Learning from Graph Signals

Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee +1

cs.IR2016

Multi-modal image retrieval with random walk on multi-layer graphs

Renata Khasanova, Xiaowen Dong, Pascal Frossard

cs.MM2012

Joint Reconstruction of Multi-view Compressed Images

Vijayaraghavan Thirumalai, Pascal Frossard

cs.MM2014

Optimized Packet Scheduling in Multiview Video Navigation Systems

Laura Toni, Thomas Maugey, Pascal Frossard

cs.DM2018

Convolutional neural networks on irregular domains based on approximate vertex-domain translations

Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte +2

cs.CV2017

Geometric robustness of deep networks: analysis and improvement

Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

cs.CV2014

A Study of Image Analysis with Tangent Distance

Elif Vural, Pascal Frossard

cs.MM2018

Adaptive Streaming in Interactive Multiview Video Systems

Xue Zhang, Laura Toni, Pascal Frossard +2

cs.LG2016

Analysis of classifiers' robustness to adversarial perturbations

Alhussein Fawzi, Omar Fawzi, Pascal Frossard

cs.IT2012

Intermediate Performance Analysis of Growth Codes

Nikolaos Thomos, Rethnakaran Pulikkoonattu, Pascal Frossard

cs.NI2013

Distributed Rate Allocation in Inter-Session Network Coding

Eirina Bourtsoulatze, Nikolaos Thomos, Pascal Frossard

cs.MM2014

Optimized Adaptive Streaming Representations based on System Dynamics

Laura Toni, Ramon Aparicio-Pardo, Karine Pires +3

cs.MM2013

Multi-View Video Packet Scheduling

Laura Toni, Thomas Maugey, Pascal Frossard

cs.MM2013

Multiview Navigation based on Extended Layered Depth Image Representation

Uday Takyar, Thomas Maugey, Pascal Frossard

cs.LG2016

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

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

cs.DC2012

Progressive quantization in distributed average consensus

Dorina Thanou, Effrosyni Kokiopoulou, Pascal Frossard

cs.LG2017

Adaptive Quantization for Deep Neural Network

Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung +1

cs.LG2012

Tangent-based manifold approximation with locally linear models

Sofia Karygianni, Pascal Frossard

cs.CV2013

Analysis of Descent-Based Image Registration

Elif Vural, Pascal Frossard

cs.LG2017

Graph learning under sparsity priors

Hermina Petric Maretic, Dorina Thanou, Pascal Frossard

cs.NI2017

Improved Utility-based Congestion Control for Delay-Constrained Communication

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

cs.NI2018

Online Resource Inference in Network Utility Maximization Problems

Stefano D'Aronco, Pascal Frossard

eess.SP2018

Graph Signal Processing: Overview, Challenges and Applications

Antonio Ortega, Pascal Frossard, Jelena Kovačević +2