Xavier Giró


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 company Crisalix, and was a member of the scientific advisory committee of Vilynx (acquired by Apple in 2020). He is a member of ELLIS, ACM SIGMM and IEEE SPS, reviews for top tier conferences in machine learning (NeurIPS, ICML), computer vision (CVPR, ECCV, ICCV) and multimedia (ACMMM, ICMR). 


Latest News

  • June 2022: Attending CVPR 2022 presenting our work in sign language video retrieval. Joint work with University of Cambridge and École des Ponts ParisTech.
  • May 2022: Teaching a course on Deep Learning without Labels at Dublin City University.
  • April 2022: Two papers on population genomics accepted at the IEEE Engineering in Medicine and Biology Society, one on generative models and another one on predicting dog breed from DNA sequences. Joint work with Stanford University.
  • February 2022: Joined ELLIS, the European Laboratory for Learning and Intelligent Systems.
  • January 2022: Area chair for ACM Multimedia 2022.
  • December 2021: Co-organizer of the Deep Learning Barcelona Symposium 2021.
  • December 2021: Invited talk at the NIST TRECVID 2021 workshop.
  • October 2021: Recognized among the top 8% reviewers for NeurIPS 2021.
  • October 2021: Two papers presented in ICCV 2021. One on 3D head reconstruction, and another one of self-supervised learnig for remote sensing.
  • October 2021: Area chair in ICCV 2021 and ACM Multimedia 2021.

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)

Conference Papers top

In Press
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, In Press. (3.22 MB)
D. Mas-Montserrat, Perera, M., Barrabés, M., Geleta, M., Giró-i-Nieto, X., and Ioannidis, A. G., Generative Moment Matching Networks for Genotype Simulation, in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), In Press.
E. Bartusiak, Barrabés, M., Rymbe, A., Gimbernat, J., López, C., Barberis, L., Mas-Montserrat, D., Giró-i-Nieto, X., and Ioannidis, A. G., Predicting Dog Phenotypes from Genotypes, in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), In Press.
Á. Budria, Tarrés, L., Gállego, G. I., Moreno, F., Torres, J., and Giró-i-Nieto, X., Topic Detection in Continuous Sign Language Videos, in Accessibility, Vision, and Autonomy Meet (AVA) CVPR Workshop, In Press. (1.82 MB)
M. Geleta, Puntí, C., McGuinness, K., Pons, J., Canton-Ferrer, C., and Giró-i-Nieto, X., PixInWav: Residual Steganography for Hiding Pixels in Audio, in ICASSP, 2022. (5.77 MB)

Research Areas top

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