Xavier Giró

Positionsort descending e-mail
Associate Professor xavier.giro@upc.edu
Office Phone


NOTICE: Since July 2022, I am on leave for a full-time job at Amazon Science Barcelona. I have published my teaching material in this site. If you are a master or PhD student interested in an internship at Amazon, you can apply here.

Xavier Giro-i-Nieto is an applied scientist at Amazon Barcelona, in the research team lead by Aleix Martinez. Until 2022, he was an associate professor at the Universitat Politecnica de Catalunya (UPC) in Barcelona, member of the Image Processing Group (GPI), Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and the Institute of Industrial Robotics (IRI UPC-CSIC). He graduated in Telecommunications Engineering at ETSETB (UPC) in 2000, after completing his master thesis on image compression at the Vrije Universiteit in Brussels (VUB) with Prof. Peter Schelkens. After working one year in Sony Brussels, he returned to UPC to obtain a PhD on computer vision, supervised by Prof. Ferran Marqués and Prof. Shih-Fu Chang from the Digital Video and MultiMedia laboratory at Columbia University, that he repeatedly visited between 2008-2014. Dr. Giró was the director of the Postgraduate on Artificial Intelligence with Deep Learning at UPC School, and also taught undergradute and graduate course on deep learning at ESEIAAT and ETSETB schools at UPC, as well as the Master in Computer Vision of BarcelonaHe regularly collaborated with the Insight Center of Data Analytics at Dublin City Universityand is a member of the Governance Committee of the Science Foundation Ireland Centre for Research Training in Machine Learning. From a transfer technology perspective, he collaborated with Barcelona-based company Crisalix, and was a member of the scientific advisory committee of Vilynx (acquired by Apple in 2020). He is a member of the ELLIS Barcelona unit and the Computer Vision Foundation. He reviews for top tier conferences in machine learning (NeurIPS, ICML) and,computer vision (CVPR, ECCV, ICCV).

Scientific IDs:  Google ScholarWoK Researcher ID: M-5834-2013, ORCID: 0000-0002-9935-5332, Scopus Author ID35098596700, UPC Futur

External activities



Book Chapters and Bookstop

V. Campos, Giró-i-Nieto, X., Jou, B., Torres, J., and Chang, S. - F., Sentiment concept embedding for visual affect recognition, in Multimodal Behavior Analysis in theWild, 1st ed., Elsevier, 2018.
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.
M. Bellver, Giró-i-Nieto, X., Marqués, F., and Torres, J., Hierarchical Object Detection with Deep Reinforcement Learning, in Deep Learning for Image Processing Applications, vol. 31, Amsterdam, The Netherlands: IOS Press, 2017.
C. Ventura, Martos, M., Giró-i-Nieto, X., Vilaplana, V., and Marqués, F., Hierarchical Navigation and Visual Search for Video Keyframe Retrieval, in Advances in Multimedia Modeling, vol. 7131, Springer Berlin / Heidelberg, 2012, pp. 652-654.
E. Carcel, Martos, M., Giró-i-Nieto, X., and Marqués, F., Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes, in Computational Intelligence for Multimedia Understanding, vol. 7242, Pisa, Italy: Springer-Verlag, 2012, pp. 172-182. (6.93 MB)

Conference Papers top

D. Bonet, Mas-Montserrat, D., Giró-i-Nieto, X., and Ioannidis, A. G., HyperFast: Instant Classification for Tabular Data, in 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. (3.15 MB)
M. Barrabés, Mas-Montserrat, D., Geleta, M., Giró-i-Nieto, X., and Ioannidis, A. G., Adversarial Learning for Feature Shift Detection and Correction, in Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.
P. Caselles, Ramon, E., Garcia, J., Giró-i-Nieto, X., Moreno, F., and Triginer, G., SIRA: Relightable Avatars from a Single Image, in Winter Conference on Applications of Computer Vision (WACV), 2023.
L. Tarrés, Gállego, G. I., Duarte, A., Torres, J., and Giró-i-Nieto, X., Sign Language Translation from Instructional Videos, in CVPR 2023 Women in Computer Vision Workshop, Vancouver, Canada, 2023. (4.64 MB)
A. Duarte, Albanie, S., Giró-i-Nieto, X., and Varol, G., Sign Language Video Retrieval with Free-Form Textual Queries, in CVPR 2022 - CVF/IEEE Conference on Computer Vision and Pattern Recognition, 2022. (3.22 MB)

Research Areas top

Sign Language Recognition, Translation and Production Internal May
Population Genomics Internal Jan
Steganography Internal Sep
Language and Vision Internal Feb
Multimodal Deep Reinforcement Learning Internal Sep

Teaching top

Acronym Title Level College
AIDL Artificial Intelligence with Deep Learning Postgraduate UPC School
ARAP Deep and Reinforcement Learning Bachelor ETSETB TelecomBCN
DLMM Deep Learning for Multimedia Master & PhD Dublin City University
IDL Introduction to Deep Learning BSc ETSETB TelecomBCN
GDSA Multimedia Content Management and Delivery Degree in Audiovisual Systems (3rd year) Escola Superior d'Enginyeries Industrials, Aeroespacial i Audiovisual de Terrassa (ESEIAAT)
VA Video Analysis Master in Computer Vision (MCV) UAB, UOC, UPC & UPF