Publications by Pascal Frossard

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The computation of the geometric transformation between a reference and a target image, known as image registration or alignment, corresponds to the projection of the target image onto the transformation manifold of the reference image (the set of images g ...

Light field imaging enables a user to navigate and observe a static 3D scene from different viewpoints. Downloading the entire data prior to navigation would incur a large startup delay. Instead, previous works propose an interactive light field streaming ...

Despite the vast success neural networks have achieved in different application domains, they have been proven to be vulnerable to adversarial perturbations (small changes in the input), which lead them to produce the wrong output. In this paper, we propos ...

We consider streaming of pre-encoded and packetized media over best-effort networks in presence of acknowledgment feedback. Given an estimation of future transmission resources and knowing about past transmissions and received acknowledgments, a scheduling algorithm is defined as a mechanism that selects the data to send over the network at any given time, so as to minimize the end-to-end distortion. Our work first reveals the suboptimality of popular greedy schedulers, which might be strongly penalized by

In multiview systems, color plus depth format builds 3D representations of scenes within which the users can freely navigate by changing their viewpoints. In this paper we present a framework for view synthesis when the user requests an arbitrary viewpoint ...

We address the problem of distribution shifts in test-time data with a principled data augmentation scheme for the task of content-level classification. In such a task, properties such as shape or transparency of test-time containers (cup or drinking glass ...

In recent years Deep Neural Networks (DNNs) have been rapidly developed in various applications, together with increasingly complex architectures. The performance gain of these DNNs generally comes with high computational costs and large memory consumption ...

This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3D face point clouds. These point clouds are then represented as signals on th ...

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-of-the-art classifiers are invariant to basic transformations such as rotatio ...

We consider in this paper the problem of image inpainting, where the objective is to reconstruct large continuous regions of missing or deteriorated parts of an image. Traditional inpainting algorithms are unfortunately not well adapted to handle such corr ...

Unions of graph Fourier multipliers are an important class of linear operators for processing signals defined on graphs. We present a novel method to efficiently distribute the application of these operators to the high-dimensional signals collected by sen ...

Multiple description coding (MDC) o®ers a competitive so- lution for video transmission over lossy packet networks, with a graceful degradation of the reproduced quality as the loss rate increases. This paper illustrates how redundant pictures, an error re ...

In real-world classification problems, nuisance variables can cause wild variability in the data. Nuisance corresponds for example to geometric distortions of the image, occlusions, illumination changes or any other deformations that do not alter the groun ...

Multi-State Video Coding (MSVC) is a multiple description scheme based on frame-wise splitting of the video sequence into two or more subsequences. Each subsequence is encoded separately to generate descriptions which can be decoded independently. Due to s ...

In this paper, we design a new approach for coding the geometry information in a multiview image scenario. As an alternative to depth-based schemes, we propose a representation that captures the dependencies between pixels in different frames in the form o ...

This paper describes the ARMS system which enables secure and adaptive rich media streaming to a large-scale, heterogeneous client population. The secure streaming algorithms ensure end-to-end security while the content is adapted and streamed via intermediate, potentially untrusted servers. ARMS streaming is completely standards compliant and to our knowledge is the first such end-to-end MPEG-4-based system.

In multiview video systems, multiple cameras generally acquire the same scene from different perspectives, such that users have the possibility to select their preferred viewpoint. This results in large amounts of highly redundant data, which needs to be p ...

Stereo confidence estimation aims to estimate the reliability of the estimated disparity by stereo matching. Different from the previous methods that exploit the limited input modality, we present a novel method that estimates confidence map of an initial ...

Fragment-based drug discovery has been an effective paradigm in early-stage drug development. An open challenge in this area is designing linkers between disconnected molecular fragments of interest to obtain chemically relevant candidate drug molecules. I ...

In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods proposed in the literature attack this problem by distributed linear iterative algorithms, wi ...

Pascal Frossard

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Analysis of Image Registration with Tangent Distance

Optimizing Landmark Insertions for Interactive Light Field Streaming

Universal Adversarial Attacks on Text Classifiers

The Virtue of Patience when Scheduling Media in Presence of Feedback

Graph-Based Interpolation for Zooming in 3D Scenes

Data augmentation with mixtures of max-entropy transformations for filling-level classification

Adaptive Quantization for Deep Neural Network

3D Face Recognition using Sparse Spherical Representations

Manitest: Are classifiers really invariant?

Image Inpainting through Neural Networks Hallucinations

Chebyshev Polynomial Approximation for Distributed Signal Processing

Multiple Description H.264 Video Coding with Redundant Pictures

Measuring the effect of nuisance variables on classifiers

Unbalanced Quantized Multiple State Video Coding

Multiview image coding using graph-based approach

Securing Media for Adaptive Streaming

Optimized Packet Scheduling in Multiview Video Navigation Systems

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

Equivariant 3D-conditional diffusion model for molecular linker design

Accelerating Distributed Consensus Using Extrapolation