1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2019
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
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…