Xavier Giró

Positionsort descending e-mail
Associate Professor xavier.giro@upc.edu
Office Phone
D5-117 (Barcelona - Campus Nord)
TR2-102 (Terrassa - ESEIAAT)
+34 934 015 769


Xavier Giro-i-Nieto is 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 is the director of the Postgraduate on Artificial Intelligence with Deep Learning at UPC School, and also teaches 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 collaborates 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 collaborates with Barcelona-based companies Crisalix and Viume, and was a member of the scientific advisory committee of Vilynx (acquired by Apple in 2020). He is a member iof ACM SIGMM and IEEE SPS, serves as associate editor at IEEE Transactions on Multimedia and reviews for top tier conferences in machine learning (NeurIPS, ICML), computer vision (CVPR, ECCV, ICCV) and multimedia (ACMMM, ICMR). 


Latest News

External activities

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


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)

Research Areas top

Deep Genomics Internal Jan
Sign Language Recognition, Translation and Production Internal May
Language and Vision Internal Feb
Multimodal Deep Reinforcement Learning Internal Sep
Remote Sensing Image Processing Internal Jan

Teaching top

Acronym Title Level College
AIDL Artificial Intelligence with Deep Learning Postgraduate UPC School
ARAP Deep and Reinforcement Learning Bachelor ETSETB TelecomBCN
DLAI Deep Learning for Artificial Intelligence Master MET 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