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Author Title Year Publication Volume Pages
Debora Gil; Guillermo Torres A multi-shape loss function with adaptive class balancing for the segmentation of lung structures 2020 34th International Congress and Exhibition on Computer Assisted Radiology & Surgery
Debora Gil; Oriol Ramos Terrades; Raquel Perez Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution 2020 Women in Geometry and Topology
Debora Gil; Katerine Diaz; Carles Sanchez; Aura Hernandez-Sabate Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images 2020 Arxiv
Oriol Ramos Terrades; Albert Berenguel; Debora Gil A flexible outlier detector based on a topology given by graph communities 2020 Arxiv
Diego Porres Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks 2021 Machine Learning for Creativity and Design, Neurips Workshop
Gabriel Villalonga Leveraging Synthetic Data to Create Autonomous Driving Perception Systems 2021 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Pau Riba Distilling Structure from Imagery: Graph-based Models for the Interpretation of Document Images 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Raul Gomez Exploiting the Interplay between Visual and Textual Data for Scene Interpretation 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Sounak Dey Mapping between Images and Conceptual Spaces: Sketch-based Image Retrieval 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Marc Masana Lifelong Learning of Neural Networks: Detecting Novelty and Adapting to New Domains without Forgetting 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Lei Kang Robust Handwritten Text Recognition in Scarce Labeling Scenarios: Disentanglement, Adaptation and Generation 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Manuel Carbonell Neural Information Extraction from Semi-structured Documents A 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Riccardo Del Chiaro; Bartlomiej Twardowski; Andrew Bagdanov; Joost Van de Weijer Recurrent attention to transient tasks for continual image captioning 2020 34th Conference on Neural Information Processing Systems
Yaxing Wang; Lu Yu; Joost Van de Weijer DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs 2020 34th Conference on Neural Information Processing Systems
Yaxing Wang; Salman Khan; Abel Gonzalez-Garcia; Joost Van de Weijer; Fahad Shahbaz Khan Semi-supervised Learning for Few-shot Image-to-Image Translation 2020 33rd IEEE Conference on Computer Vision and Pattern Recognition