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Object Shape Approximation & Contour Adaptive Depth Image Coding for Virtual View Synthesis
Yuan Yuan, Gene Cheung, Patrick Le Callet +2
A depth image provides partial geometric information of a 3D scene, namely the shapes of physical objects as observed from a particular viewpoint. This information is important whe…
Learning heat diffusion graphs
Dorina Thanou, Xiaowen Dong, Daniel Kressner +1
Effective information analysis generally boils down to properly identifying the structure or geometry of the data, which is often represented by a graph. In some applications, this…
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi +1
Given a state-of-the-art deep neural network classifier, we show the existence of a universal (image-agnostic) and very small perturbation vector that causes natural images to be m…
Optimal Representations for Adaptive Streaming in Interactive Multi-View Video Systems
Laura Toni, Pascal Frossard
Interactive multi-view video streaming (IMVS) services permit to remotely immerse within a 3D scene. This is possible by transmitting a set of reference camera views (anchor views)…
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Several recent works have shown that state-of-the-art classifiers are vulnerable to worst-case (i.e., adversarial) perturbations of the datapoints. On the other hand, it has been e…
Multi-modal image retrieval with random walk on multi-layer graphs
Renata Khasanova, Xiaowen Dong, Pascal Frossard
The analysis of large collections of image data is still a challenging problem due to the difficulty of capturing the true concepts in visual data. The similarity between images co…