Search Results for author: Jordi Torres

Found 15 papers, 11 papers with code

RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation

2 code implementations1 Oct 2020 Miriam Bellver, Carles Ventura, Carina Silberer, Ioannis Kazakos, Jordi Torres, Xavier Giro-i-Nieto

The task of video object segmentation with referring expressions (language-guided VOS) is to, given a linguistic phrase and a video, generate binary masks for the object to which the phrase refers.

Referring Expression Segmentation Video Object Segmentation

Mask-guided sample selection for Semi-Supervised Instance Segmentation

no code implementations25 Aug 2020 Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giro-i-Nieto

Our method consists in first predicting pseudo-masks for the unlabeled pool of samples, together with a score predicting the quality of the mask.

Active Learning Instance Segmentation +2

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

no code implementations CVPR 2021 Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giro-i-Nieto

Towards this end, we introduce How2Sign, a multimodal and multiview continuous American Sign Language (ASL) dataset, consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English transcripts, and depth.

Sign Language Production Sign Language Translation +1

Improving accuracy and speeding up Document Image Classification through parallel systems

1 code implementation16 Jun 2020 Javier Ferrando, Juan Luis Dominguez, Jordi Torres, Raul Garcia, David Garcia, Daniel Garrido, Jordi Cortada, Mateo Valero

This paper presents a study showing the benefits of the EfficientNet models compared with heavier Convolutional Neural Networks (CNNs) in the Document Classification task, essential problem in the digitalization process of institutions.

Document Classification Document Image Classification +4

Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

1 code implementation ICML 2020 Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-i-Nieto, Jordi Torres

We perform an extensive evaluation of skill discovery methods on controlled environments and show that EDL offers significant advantages, such as overcoming the coverage problem, reducing the dependence of learned skills on the initial state, and allowing the user to define a prior over which behaviors should be learned.

Budget-aware Semi-Supervised Semantic and Instance Segmentation

no code implementations14 May 2019 Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giro-i-Nieto

Methods that move towards less supervised scenarios are key for image segmentation, as dense labels demand significant human intervention.

Instance Segmentation Semantic Segmentation

Importance Weighted Evolution Strategies

no code implementations12 Nov 2018 Víctor Campos, Xavier Giro-i-Nieto, Jordi Torres

Evolution Strategies (ES) emerged as a scalable alternative to popular Reinforcement Learning (RL) techniques, providing an almost perfect speedup when distributed across hundreds of CPU cores thanks to a reduced communication overhead.

Cross-modal Embeddings for Video and Audio Retrieval

1 code implementation7 Jan 2018 Didac Surís, Amanda Duarte, Amaia Salvador, Jordi Torres, Xavier Giró-i-Nieto

The increasing amount of online videos brings several opportunities for training self-supervised neural networks.

Recurrent Neural Networks for Semantic Instance Segmentation

1 code implementation2 Dec 2017 Amaia Salvador, Miriam Bellver, Victor Campos, Manel Baradad, Ferran Marques, Jordi Torres, Xavier Giro-i-Nieto

We present a recurrent model for semantic instance segmentation that sequentially generates binary masks and their associated class probabilities for every object in an image.

Instance Segmentation Semantic Segmentation

Detection-aided liver lesion segmentation using deep learning

2 code implementations29 Nov 2017 Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Xavier Giro-i-Nieto, Jordi Torres, Luc van Gool

A fully automatic technique for segmenting the liver and localizing its unhealthy tissues is a convenient tool in order to diagnose hepatic diseases and assess the response to the according treatments.

Computed Tomography (CT) Lesion Segmentation

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

3 code implementations ICLR 2018 Victor Campos, Brendan Jou, Xavier Giro-i-Nieto, Jordi Torres, Shih-Fu Chang

We introduce the Skip RNN model which extends existing RNN models by learning to skip state updates and shortens the effective size of the computational graph.

Disentangling Motion, Foreground and Background Features in Videos

1 code implementation13 Jul 2017 Xunyu Lin, Victor Campos, Xavier Giro-i-Nieto, Jordi Torres, Cristian Canton Ferrer

This paper introduces an unsupervised framework to extract semantically rich features for video representation.

Hierarchical Object Detection with Deep Reinforcement Learning

1 code implementation11 Nov 2016 Miriam Bellver, Xavier Giro-i-Nieto, Ferran Marques, Jordi Torres

We argue that, while this loss seems unavoidable when working with large amounts of object candidates, the much more reduced amount of region proposals generated by our reinforcement learning agent allows considering to extract features for each location without sharing convolutional computation among regions.

Object Detection Region Proposal

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