Amaia Salvador

Biography

This site is no longer maintained. Find my new website here.

I am a PhD candidate at the Image Processing Group (GPI), Universitat Politècnica de Catalunya under the supervision of Xavier Giró-i-Nieto and Ferran Marqués. My research is in the field of computer vision and its intersection with natural language processing. Over the course of my PhD I interned at the National Institute of Informatics, the Massachusetts Institute of Technology and at Facebook AI Research Montreal in 2015, 2016 and 2018, respectively.

Previously, I obtained a M.S. in Computer Vision from Universitat Autònoma de Barcelona and a B.S. in Audiovisual Systems from Universitat Politècnica de Catalunya. During my studies, I visited the Insight Centre for Data Analytics in the Dublin City University and the INP-ENSEEIHT Engineering School in Toulouse, where I completed my M.S. and B.S. theses, respectively.

2020
M. Bellver, Salvador, A., Torres, J., and Giró-i-Nieto, X., “Mask-guided sample selection for Semi-Supervised Instance Segmentation”, Multimedia Tools and Applications, 2020. DOI Google Scholar BibTex (2.2 MB)

2016
A. Carlier, Salvador, A., Cabezas, F., Giró-i-Nieto, X., Charvillat, V., and Marques, O., “Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation”, Multimedia Tools and Applications, vol. 23, no. 75, 2016. DOI Google Scholar BibTex (5.05 MB)

2017
E. Mohedano, Salvador, A., McGuinness, K., Giró-i-Nieto, X., O'Connor, N., and Marqués, F., “Object Retrieval with Deep Convolutional Features”, in Deep Learning for Image Processing Applications, vol. 31, Amsterdam, The Netherlands: IOS Press, 2017. DOI Google Scholar BibTex

2019
M. Bellver, Salvador, A., Torres, J., and Giró-i-Nieto, X., “Budget-aware Semi-Supervised Semantic and Instance Segmentation”, in CVPR 2019 DeepVision Workshop, Long Beach, CA, USA, 2019. Google Scholar BibTex (6.59 MB)
A. Duarte, Roldán, F., Tubau, M., Escur, J., Pascual-deLaPuente, S., Salvador, A., Mohedano, E., McGuinness, K., Torres, J., and Giró-i-Nieto, X., “Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks”, in ICASSP, Brighton, UK, 2019. DOI Google Scholar BibTex (4.42 MB)
C. Ventura, Bellver, M., Girbau, A., Salvador, A., Marqués, F., and Giró-i-Nieto, X., “RVOS: End-to-End Recurrent Network for Video Object Segmentation”, in CVPR, Long Beach, CA, USA, 2019. Google Scholar BibTex (5.76 MB)
A. Salvador, Drozdzal, M., Giró-i-Nieto, X., and Romero, A., “Inverse Cooking: Recipe Generation from Food Images”, in CVPR, Long Beach, CA, USA, 2019. Google Scholar BibTex

2018
A. Salvador, Bellver, M., Baradad, M., Campos, V., Marqués, F., Torres, J., and Giró-i-Nieto, X., “Recurrent Neural Networks for Semantic Instance Segmentation”, in ECCV 2018 Women in Computer Vision (WiCV) Workshop, 2018. Google Scholar BibTex (2.55 MB)

2019
A. Salvador, “Computer Vision beyond the visible: Image understanding through language”, Universitat Politecnica de Catalunya, Barcelona, 2019. Google Scholar BibTex

2018
F. Roldán, “Speech-conditioned Face Generation with Deep Adversarial Networks”. 2018. Google Scholar BibTex (1.79 MB)	Ms Thesis

2017
A. Salvador, “MIT is building a system that can identify a recipe using pictures of food”, 2017. . Google Scholar BibTex	Web Article
A. Salvador, “Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients”, 2017. . Google Scholar BibTex	Web Article
A. Salvador, “Artificial intelligence suggests recipes based on food photos”, 2017. . Google Scholar BibTex	Web Article

2016
A. Ferri, “Object Tracking in Video with TensorFlow”. 2016. Google Scholar BibTex (22.63 MB)	Ms Thesis

Cross-modal Deep Learning between Vision, Language, Audio and Speech	European	Oct 2018	Sep 2021
SGR17 - Image and Video Processing Group	National	Jan 2017	Sep 2021
BigGraph - Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces.	National	Jan 2014	Dec 2017
SGR14 - Image and Video Processing Group	National	Jan 2014	Apr 2017

Language and Vision	Internal	Feb 2016	Dec 2021
Region-based image and video processing	Internal	Jan 1992	Dec 2020
Deep learning	Internal	Jun 2014	Dec 2020
Multimedia Retrieval	Internal	Sep 2001	Dec 2018
Crowdsourcing	Internal	Jan 2013	Dec 2015

UPC at CVPRW ActivityNet Challenge 2016	Software	Jun 2016
Faster R-CNN Features for Instance Search (software)	Software	May 2016
C3D Model for Keras trained over Sports 1M	Software	Apr 2016
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction (software)	Software	Mar 2016
Terrassa Buildings 4126	Dataset	Dec 2015