Search Publication

Salvador J, Casas JR. 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.

• Google Scholar
• BibTex

Salvador A. Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.

• Google Scholar
• BibTex

Salvador J, Casas JR. Photo-consistent surfaces from a sparse set of viewpoints. In 2010 IEEE International Conference on Image Processing. 2010. pp. 4045–4048.

• DOI
• Google Scholar
• BibTex

Salvador A. Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.

• Google Scholar
• BibTex

Salvador J, Suau X, Casas JR. From silhouettes to 3D points to mesh: towards free viewpoint video. In ACM Workshop on 3D Video Processing (3DVP). 2010. pp. 19–24.

• DOI
• Google Scholar
• BibTex

Salvador A, Giró-i-Nieto X, Marqués F, Satoh S'ichi. Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016.

• Google Scholar
• BibTex

 (2.77 MB)

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.

• DOI
• Google Scholar
• BibTex

 (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.

• Google Scholar
• BibTex

 (199.14 KB)

Salvador J, Casas JR. Joint estimation of shape and motion from silhouettes. In 2010 IEEE International Conference on Image Processing. 2010. pp. 4069–4072.

• DOI
• Google Scholar
• BibTex

Salvador J, Casas JR. Multi-View Video Representation Based on Fast Monte Carlo Surface Reconstruction. IEEE Transactions on Image Processing. 2013;22(9):3342 - 3352.

• DOI
• Google Scholar
• BibTex

 (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.

• Google Scholar
• BibTex

 (1.15 MB)

Salvador J. Surface Reconstruction for Multi-View Video. Casas JR. Universitat Politècnica de Catalunya (UPC); 2011.

• Google Scholar
• BibTex

 (4.74 MB)

Salvador J, Casas JR. Voxelització Adaptada a les Imatges en Entorns Multicàmera. In 2ones Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 1–6.

• Google Scholar
• BibTex

Salvador A, Drozdzal M, Giró-i-Nieto X, Romero A. Inverse Cooking: Recipe Generation from Food Images. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

Sanchez-Escobedo D, Lin X, Casas JR, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.

• DOI
• Google Scholar
• BibTex

 (1.14 MB)

Sánchez-Escué J. Bundling interest points for object classification. Ventura C, Giró-i-Nieto X. 2014.

• Google Scholar
• BibTex

 (2.15 MB)

Sanchez-Riera J, Salvador J, Casas JR. Indoor PTZ camera calibration with concurrent PT axes. In Fourth International Conference on Computer Vision Theory and Applications. 2009. pp. 45–50.

• DOI
• Google Scholar
• BibTex

Santamarta VMarcos. Machine learning for recommendation systems in job postings selection. Vidal J, Vilaplana V. 2016.

• Google Scholar
• BibTex

Sanz P, Ribas B, Cobo E, Gadea E, Marqués F, Solé E, et al.. Aspectos Clínicos-toxicológicos en los trabajadores de una industria productora de cromatos. Annual review of pharmacology and toxicology. 1990;7:1:13–1:20.

• Google Scholar
• BibTex

Sayrol E, Gasull A. Image analysis using higher-order statistics and the random transfor. In WORKSHOP ON HIGHER-ORDER STATISTICS. 1993.

• Google Scholar
• BibTex

Sayrol E, Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, et al.. Mixed integration of CDIO skills into telecommunication engineering curricula. Elektronika ir elektrotechnika. 2010;102(6):127–130.

• Google Scholar
• BibTex

Sayrol E, Gasull A, R. Fonollosa J. Fourth-order statistics cost functions: applications to time delay estimation and image motion estimation. In VI SPANISH SYMPOSIUM ON PATTERN RECOGNITION AND IMAGE ANALYSIS. 1995. pp. 543–548.

• Google Scholar
• BibTex

Sayrol E, Fischi O, Pardàs M. Color Inititialization for Lip Tracking. In International Conference on Augmented, Virtual Environments and 3D Imaging. 2001. pp. 351–354.

• Google Scholar
• BibTex