Xavier Giró

Biography

NOTICE: Since July 2022, I am on leave for a full-time job at Amazon Science Barcelona.

Xavier Giro-i-Nieto 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 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). 

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

2018
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.
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.
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.
2012
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

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.
2022
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)
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), 2022.
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), 2022.
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, 2022. (1.82 MB)

Research Areas top

Population Genomics Internal Jan
2021
Jul
2022
Steganography Internal Sep
2019
Jul
2022
Sign Language Recognition, Translation and Production Internal May
2017
May
2022
Language and Vision Internal Feb
2016
Dec
2021
Multimodal Deep Reinforcement Learning Internal Sep
2016
Jul
2021