activity
20142023
most citedEM-driven unsupervised learning for efficient motion segmentation

27 citations · 41 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 1 cited

Segmenting the motion components of a video: A long-term unsupervised model

Etienne Meunier, Patrick Bouthemy

Human beings have the ability to continuously analyze a video and immediately extract the motion components. We want to adopt this paradigm to provide a coherent and stable motion…

cs.CV2022★ 27 cited

EM-driven unsupervised learning for efficient motion segmentation

Etienne Meunier, Anaïs Badoual, Patrick Bouthemy

In this paper, we present a CNN-based fully unsupervised method for motion segmentation from optical flow. We assume that the input optical flow can be represented as a piecewise s…

cs.CV2020★ 1 cited

Trajectory saliency detection using consistency-oriented latent codes from a recurrent auto-encoder

L. Maczyta, P. Bouthemy, O. Le Meur

In this paper, we are concerned with the detection of progressive dynamic saliency from video sequences. More precisely, we are interested in saliency related to motion and likely…

cs.CV2019★ 7 cited

Unsupervised motion saliency map estimation based on optical flow inpainting

L. Maczyta, P. Bouthemy, O. Le Meur

The paper addresses the problem of motion saliency in videos, that is, identifying regions that undergo motion departing from its context. We propose a new unsupervised paradigm to…

cs.CV2018★ 3 cited

Learning how to be robust: Deep polynomial regression

Juan-Manuel Perez-Rua, Tomas Crivelli, Patrick Bouthemy +1

Polynomial regression is a recurrent problem with a large number of applications. In computer vision it often appears in motion analysis. Whatever the application, standard methods…

cs.CV2016★ 1 cited

Tubelets: Unsupervised action proposals from spatiotemporal super-voxels

Mihir Jain, Jan van Gemert, Hervé Jégou +2

This paper considers the problem of localizing actions in videos as a sequences of bounding boxes. The objective is to generate action proposals that are likely to include the acti…

cs.CV2014★ 1 cited

Aggregation of local parametric candidates with exemplar-based occlusion handling for optical flow

Denis Fortun, Patrick Bouthemy, Charles Kervrann

Handling all together large displacements, motion details and occlusions remains an open issue for reliable computation of optical flow in a video sequence. We propose a two-step a…