Exploració per autor "Bellver Bueno, Míriam"

Ara es mostren els items 1-11 de 11

    • A closer look at referring expressions for video object segmentation 

      Bellver Bueno, Míriam; Ventura Royo, Carles; Silberer, Carina; Kazakos, Ioannis; Torres Viñals, Jordi; Giró Nieto, Xavier (2023-01)
      Article
      Accés obert
      The task of Language-guided Video Object Segmentation (LVOS) aims at generating binary masks for an object referred by a linguistic expression. When this expression unambiguously describes an object in the scene, it is ...

    • Budget-aware semi-supervised semantic and instance segmentation 

      Bellver Bueno, Míriam; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (2019)
      Comunicació de congrés
      Accés obert
      Methods that move towards less supervised scenarios are key for image segmentation, as dense labels demand significant human intervention. Generally, the annotation burden is mitigated by labeling datasets with weaker forms ...

    • Detection-aided medical image segmentation using deep learning 

      Bellver Bueno, Míriam (Universitat Politècnica de Catalunya, 2017-08-14)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Eidgenössische Technische Hochschule Zürich
      A fully automatic technique for segmenting the liver and localizing its unhealthy tissues is a convenient tool in order to diagnose hepatic diseases and also to assess the response to the according treatments. In this ...

    • Efficient exploration of region hierarchies for semantic segmentation 

      Bellver Bueno, Míriam (Universitat Politècnica de Catalunya, 2015-07-20)
      Treball Final de Grau
      Accés obert
      The motivation of this work is the efficient exploration of hierarchical partitions for semantic segmentation as a method for locating objects in images. While many efforts have been focused on efficient image search in ...

    • Hierarchical object detection with deep reinforcement learning 

      Bellver Bueno, Míriam; Giró Nieto, Xavier; Marqués Acosta, Fernando; Torres, Jordi (2016)
      Comunicació de congrés
      Accés obert
      We present a method for performing hierarchical object detection in images guided by a deep reinforcement learning agent. The key idea is to focus on those parts of the image that contain richer information and zoom on ...

    • Image and video object segmentation in low supervision scenarios 

      Bellver Bueno, Míriam (Universitat Politècnica de Catalunya, 2021-03-26)
      Tesi
      Accés obert
      Computer vision plays a key role in Artificial Intelligence because of the rich semantic information contained in pixels and the ubiquity of cameras nowadays. Multimedia content is on a rise since social networks have such ...

    • Mask-guided sample selection for semi-supervised instance segmentation 

      Bellver Bueno, Míriam; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (2020-07-05)
      Article
      Accés obert
      Image segmentation methods are usually trained with pixel-level annotations, which require significant human effort to collect. Weakly-supervised pipelines are the most common solution to address this constraint because ...

    • Recurrent instance segmentation 

      Bellver Bueno, Míriam (2018-06-19)
      Presentació
      Accés obert

    • Recurrent instance segmentation 

      Bellver Bueno, Míriam (Universitat Politècnica de Catalunya. Biblioteca Rector Gabriel Ferraté, 2018-06-19)
      Audiovisual
      Accés obert

    • RVOS: end-to-end recurrent network for video object segmentation 

      Ventura Royo, Carles; Bellver Bueno, Míriam; Girbau Xalabarder, Andreu; Salvador Aguilera, Amaia; Marqués Acosta, Fernando; Giró Nieto, Xavier (Computer Vision Foundation, 2019)
      Comunicació de congrés
      Accés obert
      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. ...

    • The Liver Tumor Segmentation Benchmark (LiTS) 

      Bilic, Patrick; Christ, Patrick; Li, Hongwei Bran; Vorontso, Eugene; Ben Cohen, Avi; Kaissis, Georgios; Szeski, Adi; Bellver Bueno, Míriam; Giró Nieto, Xavier; Torres Viñals, Jordi (2023-02)
      Article
      Accés obert
      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 ...