no code implementations • 2 May 2019 • Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc van Gool
We present the 2019 DAVIS Challenge on Video Object Segmentation, the third edition of the DAVIS Challenge series, a public competition designed for the task of Video Object Segmentation (VOS).
no code implementations • CVPR 2018 • Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc van Gool
This paper tackles the problem of video object segmentation, given some user annotation which indicates the object of interest.
Ranked #62 on Semi-Supervised Video Object Segmentation on DAVIS 2016
no code implementations • 1 Mar 2018 • Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yu-Hua Chen, Luc van Gool, Federico Perazzi, Jordi Pont-Tuset
Motivated by the analysis of the results of the 2017 edition, the main track of the competition will be the same than in the previous edition (segmentation given the full mask of the objects in the first frame -- semi-supervised scenario).
3 code implementations • 29 Aug 2016 • Alberto Montes, Amaia Salvador, Santiago Pascual, Xavier Giro-i-Nieto
This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation to achieve it has been proposed.