Search Results for author: Jordi Torres

Found 21 papers, 17 papers with code

Towards Pareto Optimal Throughput in Small Language Model Serving

no code implementations4 Apr 2024 Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll. Berral

Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks.

Language Modelling

Sign Language Translation from Instructional Videos

1 code implementation13 Apr 2023 Laia Tarrés, Gerard I. Gállego, Amanda Duarte, Jordi Torres, Xavier Giró-i-Nieto

We report a result of 8. 03 on the BLEU score, and publish the first open-source implementation of its kind to promote further advances.

Sign Language Translation

Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22

1 code implementation2 Dec 2022 Laia Tarrés, Gerard I. Gàllego, Xavier Giró-i-Nieto, Jordi Torres

This paper describes the system developed at the Universitat Polit\`ecnica de Catalunya for the Workshop on Machine Translation 2022 Sign Language Translation Task, in particular, for the sign-to-text direction.

Data Augmentation FocusNews (test) +4

Topic Detection in Continuous Sign Language Videos

1 code implementation1 Sep 2022 Alvaro Budria, Laia Tarres, Gerard I. Gallego, Francesc Moreno-Noguer, Jordi Torres, Xavier Giro-i-Nieto

Significant progress has been made recently on challenging tasks in automatic sign language understanding, such as sign language recognition, translation and production.

Sign Language Recognition Translation

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.

Image Segmentation Referring Expression Segmentation +2

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 Image Segmentation +4

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

1 code implementation 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.

Image Segmentation Instance Segmentation +2

The Liver Tumor Segmentation Benchmark (LiTS)

6 code implementations13 Jan 2019 Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivantik, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Míriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Gruen, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yu, Liping Zhang, Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern Menze

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018.

Benchmarking Computed Tomography (CT) +3

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.

reinforcement-learning Reinforcement Learning (RL)

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 Object +2

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 +1

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 object-detection +4

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