Search Results for author: Alberto Montes

Found 4 papers, 1 papers with code

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

no code implementations2 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).

Semantic Segmentation Video Object Segmentation +1

The 2018 DAVIS Challenge on Video Object Segmentation

no code implementations1 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).

Interactive Segmentation Semantic Segmentation +2

Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks

3 code implementations29 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.

Action Detection Activity Detection

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