We propose density independent hydrodynamics model (DIHM) which is a novel and
automatic method for coherency detection in crowded scenes. One of the major advantages …

This paper presents a Markov random field (MRF)-based image inpainting algorithm using
patch selection from groups of similar patches and optimal patch assignment through joint …

Most state-of-the-art motion segmentation algorithms draw their potential from modeling
motion differences of local entities such as point trajectories in terms of pairwise potentials in …

We present an approach to reconstruct the 3D shape of multiple deforming objects from
incomplete 2D trajectories acquired by a single camera. Additionally, we simultaneously …

In this paper, we present a kernel subspace clustering method that can handle non-linear
models. In contrast to recent kernel subspace clustering methods which use predefined …

Most state-of-the-art subspace clustering methods only work with linear (or affine)
subspaces. In this paper, we present a kernel subspace clustering method that can handle …

We present a general framework that addresses manifolds with singularities and multiple
intersecting manifolds, which is also robust against a large number of outliers. We suggest a …

Trajectory association and clustering are two key problems in motion analysis. While
association links the points of interest to form trajectories, clustering discovers motion …

In this paper, we deal with geometric model fitting problems on graphs, where each vertex
represents a model hypothesis, and each edge represents the similarity between two model …

Pour tenter de faire sens des masses de données disponibles en quantité croissante, il est
nécessaire de disposer d'outils performants limitant l'implication, souvent chronophage, de …