1 code implementation • 22 Feb 2024 • David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming.
1 code implementation • 13 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.
Ranked #1 on Sign Language Translation on How2Sign
1 code implementation • 2 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.
Ranked #1 on FocusNews (test) on WMT-SLT
1 code implementation • 29 Sep 2022 • Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Learning representations of neural network weights given a model zoo is an emerging and challenging area with many potential applications from model inspection, to neural architecture search or knowledge distillation.
1 code implementation • 29 Sep 2022 • Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of NN models for further research.
1 code implementation • 22 Jul 2022 • Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Learning representations of neural network weights given a model zoo is an emerging and challenging area with many potential applications from model inspection, to neural architecture search or knowledge distillation.
no code implementations • CVPR 2022 • Amanda Duarte, Samuel Albanie, Xavier Giró-i-Nieto, Gül Varol
Systems that can efficiently search collections of sign language videos have been highlighted as a useful application of sign language technology.
no code implementations • 21 Jun 2021 • Andreu Girbau, Xavier Giró-i-Nieto, Ignasi Rius, Ferran Marqués
In this work, we show that trajectory estimation can become a key factor for tracking, and present TrajE, a trajectory estimator based on recurrent mixture density networks, as a generic module that can be added to existing object trackers.
Ranked #26 on Multi-Object Tracking on MOT17 (MOTA metric)
1 code implementation • 15 Aug 2020 • Maria Gonzalez-i-Calabuig, Carles Ventura, Xavier Giró-i-Nieto
Video object segmentation can be understood as a sequence-to-sequence task that can benefit from the curriculum learning strategies for better and faster training of deep neural networks.
1 code implementation • 23 Aug 2019 • Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor
This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervised fine-grained detectors of the region of interest (ROI).
1 code implementation • 16 Aug 2019 • Eduard Ramon, Guillermo Ruiz, Thomas Batard, Xavier Giró-i-Nieto
This work proposes novel hyperparameter-free losses for single view 3D reconstruction with morphable models (3DMM).
6 code implementations • 13 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.
1 code implementation • 7 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.
1 code implementation • 2 Nov 2015 • Aniol Lidon, Marc Bolaños, Mariella Dimiccoli, Petia Radeva, Maite Garolera, Xavier Giró-i-Nieto
With the rapid increase of users of wearable cameras in recent years and of the amount of data they produce, there is a strong need for automatic retrieval and summarization techniques.
1 code implementation • 20 Aug 2015 • Victor Campos, Amaia Salvador, Brendan Jou, Xavier Giró-i-Nieto
Visual media are powerful means of expressing emotions and sentiments.
1 code implementation • 6 Jul 2015 • Junting Pan, Xavier Giró-i-Nieto
The prediction of saliency areas in images has been traditionally addressed with hand crafted features based on neuroscience principles.
no code implementations • 27 May 2015 • Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
This paper explores novel approaches for improving the spatial codification for the pooling of local descriptors to solve the semantic segmentation problem.
1 code implementation • 5 May 2015 • Marc Bolaños, Ricard Mestre, Estefanía Talavera, Xavier Giró-i-Nieto, Petia Radeva
Building a visual summary from an egocentric photostream captured by a lifelogging wearable camera is of high interest for different applications (e. g. memory reinforcement).
no code implementations • 1 May 2015 • Ferran Cabezas, Axel Carlier, Amaia Salvador, Xavier Giró-i-Nieto, Vincent Charvillat
This paper explores processing techniques to deal with noisy data in crowdsourced object segmentation tasks.
no code implementations • 29 Apr 2015 • Jennifer Roldan-Carlos, Mathias Lux, Xavier Giró-i-Nieto, Pia Muñoz, Nektarios Anagnostopoulos
In endoscopic procedures, surgeons work with live video streams from the inside of their subjects.
no code implementations • 9 Apr 2015 • Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto, Graham Healy, Kevin McGuinness, Noel O'Connor, Alan F. Smeaton
We show that it is indeed possible to detect such objects in complex images and, also, that users with previous knowledge on the dataset or experience with the RSVP outperform others.