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Sánchez-Escué J. Bundling interest points for object classification. Ventura C, Giró-i-Nieto X. 2014.  (2.15 MB)
Sanchez-Escobedo D, Lin X, Casas J, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.  (1.14 MB)
Sánchez I, Vilaplana V. 3D Medical Image Synthesis using Generative Adversarial Networks. In ACM Europe Celebration of Women in Computing, womENcourage 2017, Barcelona, Spain. 2017.
Sánchez I, Vilaplana V. Brain MRI Super-Resolution using Generative Adversarial Networks. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
Salvador J, Casas J. A compact 3D representation for multi-view video. In 2011 International Conference on 3D Imaging. 2011. pp. 1–8.  (4.14 MB)
Salvador A. MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
Salvador J, Rivero D, Kochale A, Ruiz-Hidalgo J. Variational Reconstruction and Restoration for Video Super-Resolution. In International Conference on Pattern Recognition (ICPR). Tsukuba, Japan; 2012.  (672.9 KB)
Salvador A, Carlier A, Giró-i-Nieto X, Marques O, Charvillat V. Crowdsourced Object Segmentation with a Game. In ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Barcelona; 2013.  (1.22 MB)
Salvador A, Zeppelzauer M, Manchon-Vizuete D, Calafell A, Giró-i-Nieto X. Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015.  (1.09 MB)
Salvador J, Casas J. Image-adapted voxelization in multicamera settings. In International Workshop on Multimedia Signal Processing. 2006. pp. 161–165.
Salvador A, Bellver M, Baradad M, Campos V, Marqués F, Torres J, et al.. Recurrent Neural Networks for Semantic Instance Segmentation. In ECCV 2018 Women in Computer Vision (WiCV) Workshop. 2018.  (2.55 MB)
Salvador A. Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation. Giró-i-Nieto X, McGuinness K. 2014.  (8.97 MB)
Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.  (1.34 MB)
Salvador A. Computer Vision beyond the visible: Image understanding through language. Giró-i-Nieto X, Marqués F. Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019.
Salvador J, Casas J. Shape from Probability Maps with Image-Adapted Voxelization. In ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2). 2008. pp. 1–12.
Salvador A. Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.
Salvador J, Casas J. Photo-consistent surfaces from a sparse set of viewpoints. In 2010 IEEE International Conference on Image Processing. 2010. pp. 4045–4048.
Salvador A. Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.
Salvador A, Giró-i-Nieto X, Marqués F, Satoh S'ichi. Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016.  (2.77 MB)
Salvador J, Suau X, Casas J. From silhouettes to 3D points to mesh: towards free viewpoint video. In ACM Workshop on 3D Video Processing (3DVP). 2010. pp. 19–24.
Salvador A, Hynes N, Aytar Y, Marin J, Ofli F, Weber I, et al.. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017.  (3.37 MB)
Salvador A, Bellver M, Baradad M, Campos V, Marqués F, Torres J, et al.. Recurrent Neural Networks for Semantic Instance Segmentation. In CVPR 2018 DeepVision Workshop. 2018.  (199.14 KB)
Salvador J, Casas J. Joint estimation of shape and motion from silhouettes. In 2010 IEEE International Conference on Image Processing. 2010. pp. 4069–4072.
Salvador J, Casas J. Multi-View Video Representation Based on Fast Monte Carlo Surface Reconstruction. IEEE Transactions on Image Processing. 2013;22(9):3342 - 3352.  (6.16 MB)
Salvador A, Baradad M, Giró-i-Nieto X, Marqués F. Recurrent Semantic Instance Segmentation. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.  (1.15 MB)

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