Recent Submissions

  • On the coordination of base stations in ultra dense cellular networks 

    Aravanis, Alexios; Muñoz Medina, Olga; Pascual Iserte, Antonio; di Renzo, Marco (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Ultra dense networks (UDNs) allow for efficient spatial reuse of the spectrum, giving rise to substantial capacity and power gains. However, recent findings have demonstrated that the reduction of inter-site distances after ...
  • The TALP-UPC machine translation systems for WMT19 news translation task: pivoting techniques for low resource MT 

    Casas Manzanares, Noé; Rodríguez Fonollosa, José Adrián; Escolano Peinado, Carlos; Basta, Christine Raouf Saad; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2019)
    Conference report
    Restricted access - publisher's policy
    In this article, we describe the TALP-UPC research group participation in the WMT19 news translation shared task for Kazakh-English. Given the low amount of parallel training data, we resort to using Russian as pivot ...
  • Terminology-aware segmentation and domain feature for the WMT19 biomedical translation task 

    Carrino, Casimiro Pio; Rafieian, Bardia; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2019)
    Conference report
    Restricted access - publisher's policy
    In this work, we give a description of the TALP-UPC systems submitted for the WMT19 Biomedical Translation Task. Our proposed strategy is NMT model-independent and relies only on one ingredient, a biomedical terminology ...
  • BERT masked language modeling for co-reference resolution 

    Alfaro, Felipe; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2019)
    Conference report
    Open Access
    This paper explains the TALP-UPC participation for the Gendered Pronoun Resolution shared-task of the 1st ACL Workshop on Gender Bias for Natural Language Processing. We have implemented two models for mask language modeling ...
  • Polar coding for common message only wiretap broadcast channel 

    Olmo Alòs, Jaume del; Rodríguez Fonollosa, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Restricted access - publisher's policy
    A polar coding scheme is proposed for the Wiretap Broadcast Channel with two legitimate receivers and one eavesdropper. We consider a model in which the transmitter wishes to send a private and a confidential message that ...
  • Publicness, privacy and confidentiality in the single-serving quantum broadcast channel 

    Salek Shishavan, Farzin; Hsieh, Min-Hsiu; Rodríguez Fonollosa, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Restricted access - publisher's policy
    The 2-receiver broadcast channel with primary and third-party receivers is studied. The messages are classified into public, private and confidential. The messages in the public class are messages intended for both receivers. ...
  • Introducing the Atmospheric Thermodynamics LidAr in Space – ATLAS 

    Di Girolamo, Paolo; Behrendt, Andreas; Wulfmeyer, Volker; Comerón Tejero, Adolfo; Keckhut, Philippe; Hauchecorne, Alain; Richard, Evelyne; Marenco, Franco; Vaughan, Geraint; Rotach, Mathias; Potthast, Roland; Geer, Alan; Demoz, Belay B.; Santanello, Joseph; Whiteman, David N.; Turner, David Dave (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2018)
    Conference lecture
    Open Access
    Our understanding of the distribution of heat and water in the atmosphere still shows critical gaps on all temporal and spatial scales. This is mainly due to a lack of accurate measurements of water vapor ...
  • Digitally stained confocal microscopy through deep learning 

    Combalia Escudero, Marc; Pérez Ankar, Javiera; García Herrera, Adriana; Alos, Llúcia; Vilaplana Besler, Verónica; Marqués Acosta, Fernando; Puig, Susana; Malvehy, Josep (Microtome Publishing, 2019)
    Conference report
    Open Access
    Specialists have used confocal microscopy in the ex-vivo modality to identify Basal Cell Carcinoma tumors with an overall sensitivity of 96.6% and specificity of 89.2% (Chung et al., 2004). However, this technology hasn’t ...
  • Wav2Pix: speech-conditioned face generation using generative adversarial networks 

    Cardoso Duarte, Amanda; Roldan, Francisco; Tubau, Miquel; Escur, Janna; Pascual de la Puente, Santiago; Salvador Aguilera, Amaia; Mohedano, Eva; McGuinness, Kevin; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Restricted access - publisher's policy
    Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker. In this work, we explore its potential to generate face images of a speaker by conditioning a ...
  • RVOS: end-to-end recurrent network for video object segmentation 

    Ventura, Carles; Bellver, Míriam; Girbau, Andreu; Salvador Aguilera, Amaia; Marqués Acosta, Fernando; Giró Nieto, Xavier (Computer Vision Foundation, 2019)
    Conference lecture
    Open Access
    Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence. ...
  • Inverse cooking: recipe generation from food images 

    Salvador Aguilera, Amaia; Drozdzal, Michal; Giró Nieto, Xavier; Romero, Adriana (Computer Vision Foundation, 2019)
    Conference report
    Open Access
    People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation ...
  • Assessing knee OA severity with CNN attention-based end-to-end architectures 

    Górriz, Marc; Antony, Joseph; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel (2019)
    Conference lecture
    Open Access
    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 ...

View more