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Conference Papers

  • Amaia Salvador, Erhan Gundogdu, Loris Bazzani, and Michael Donoser. Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning. In CVPR 2021 [Github][PDF]

  • Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero. Inverse Cooking: Recipe Generation from Food Images. In CVPR 2019 [Github][PDF]

  • Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto. RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR 2019 [Github][PDF][Project Page]

  • Amanda Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giro-i-Nieto. Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. In ICASSP 2019 [Github][PDF][Project Page]

  • Amaia Salvador*, Nicholas Hynes*, Yusuf Aytar, Javier Marin, Ferda Ofli, Ingmar Weber, Antonio Torralba. Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. In CVPR 2017 [Github][PDF][Project Page]

  • Eva Mohedano*, Amaia Salvador*, Kevin McGuinness, Xavier Giro-i-Nieto, Noel O’Connor, and Ferran Marques. Bags of local convolutional features for scalable instance search. In ICMR, 2016. [Github][PDF][Project Page]

  • Ferran Cabezas, Axel Carlier, Amaia Salvador, Xavier Giro-i-Nieto, and Vincent Charvillat. Quality control in crowdsourced object segmentation. In ICIP, 2015 [PDF]

  • Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giro-i-Nieto, Graham Healy, Kevin McGuinness, Noel O’Connor, and Alan F Smeaton. Exploring EEG for object detection and retrieval. In ICMR, 2015. [PDF]

Workshop Papers

  • Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giro-i-Nieto. Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR Workshops, 2019 [PDF]

  • Alberto Montes, Amaia Salvador, Santiago Pascual, Xavier Giro-i-Nieto. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. In NeurIPS Workshops, 2016 [Github][PDF][Project Page]

  • Didac Suris, Amanda Duarte, Amaia Salvador, Jordi Torres, and Xavier Giro i Nieto. Cross-modal embeddings for video and audio retrieval. In ECCV Workshops, 2018. [PDF]

  • Amaia Salvador, Xavier Giro-i-Nieto, Ferran Marques, and Shin’ichi Satoh. Faster R-CNN features for instance search. In CVPR Workshops, 2016. [Github][PDF][Project Page]

  • Victor Campos, Amaia Salvador, Xavier Giro-i Nieto, and Brendan Jou. Diving deep into sentiment: Understanding fine-tuned CNNs for visual sentiment prediction. In ACM Multimedia Workshops, 2015. [Github][PDF][Project Page]

  • Amaia Salvador, Matthias Zeppelzauer, Daniel Manchon-Vizuete, Andrea Calafell, and Xavier Giro-i-Nieto. Cultural event recognition with visual convnets and temporal models. In CVPR Workshops, 2015. [PDF]

  • Axel Carlier, Vincent Charvillat, Amaia Salvador, Xavier Giro-i-Nieto, and Oge Marques. Click’n’cut: crowdsourced interactive segmentation with object candidates. In ACM Multimedia Workshops, 2014. [PDF]

  • Amaia Salvador, Axel Carlier, Xavier Giro-i-Nieto, Oge Marques, and Vincent Charvillat. Crowdsourced object segmentation with a game. In ACM Multimedia Workshops, 2013. [PDF]

Journal Papers

  • Miriam Bellver, Amaia Salvador, Jordi Torres, and Xavier Giro-i-Nieto. Mask-guided sample selection for semi-supervised instance Segmentation. In MTAP 2020 [PDF]

  • Javier Marin, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, and Antonio Torralba. Recipe1M+: A dataset for learning cross-modal embeddings for cooking recipes and food images. In TPAMI, 2019 [PDF]

  • Axel Carlier, Amaia Salvador, Ferran Cabezas, Xavier Giro-i-Nieto, Vincent Charvillat, Oge Marques. Assessment of crowdsourcing and gamification loss in user-assisted object segmentation. In MTAP, 2016 [PDF]

Book Chapters

  • Eva Mohedano, Amaia Salvador, Kevin McGuinness, Xavier Giro-i-Nieto, Noel O’Connor, Ferran Marques. Object Retrieval with Deep Convolutional Features. In Deep Learning for Image Processing Applications, 2017

Technical Reports

  • Luis Pineda*, Amaia Salvador*, Michal Drozdzal, and Adriana Romero. Elucidating image-to-set prediction: An analysis of models, losses and datasets. In CoRR, 2019 [PDF]

  • Amaia Salvador, Miriam Bellver, Victor Campos, Manel Baradad, Ferran Marques, Jordi Torres, Xavier Giro-i-Nieto. Recurrent Neural Networks for Semantic Instance Segmentation. In CoRR, 2017 [Github][PDF][Project Page]

Written Theses

PhD thesis: Computer Vision beyond the visible: Image understanding through language [PDF][slides], 2019

MSc Thesis: Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation [PDF][slides], 2014

BSc Thesis: Crowdsourced object segmentation with a game [slides], 2013