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 science team lead by Aleix Martinez and Francesc Moreno-Noguer. 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 Barcelona. He regularly collaborated with the Insight Center of Data Analytics at Dublin City University, and 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, which was acquired by Apple in 2020. He is a member of the ELLIS Barcelona unit and the Computer Vision Foundation. He is a funding organizer of the Deep Learning Barcelona Symposium, and serves as area chair in computer vision conferences like ICCV 2024 and CVPR 2025.
Scientific IDs: Google Scholar, WoK Researcher ID: M-5834-2013, ORCID: 0000-0002-9935-5332, Scopus Author ID: 35098596700, UPC Futur
- Current PhD student: Laia Tarrés, co-advised with Jordi Torres (UPC), Coloma Ballester and Josep Blat (UPF).
- Former PhD students (with employer after graduation): Carles Ventura (UOC 2016), Amaia Salvador (Amazon 2019), Víctor Campos (Deepmind 2020), Míriam Bellver (Amazon 2021), Andreu Girbau (NII 2021), Eduard Ramon (Amazon 2022), Amanda Duarte (BSC 2022), Dèlia Fernandez (Apple 2023), Konstantin Schürholt (2024).
External activities
- Area Chair: CVPR 2025, ECCV 2024, ACM Multimedia (2022, 2021, 2020, 2019, 2016), ICCV 2021, WACV 2021
- Associate Editor: IEEE Transactions on Multimedia (2017-2022)
- Reviewer
- CVPR (2022, 2021, 2020, 2019), ECCV 2022, ICCV (2019, 2017), ECCV (2022, 2020), ICIP (2014, 2003), EUSIPCO 2011.
- NeurIPS (2021, 2020, 2019, 2018, 2017), ICLR (2022, 2018, 2017), ICML (2020, 2019, 2018),
- ACM Multimedia (2019, 2018, 2017, 2016, 2014), ACM ICMR (2021, 2020, 2019, 2018, 2017).
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Multimedia Tools and Applications (MTAP), EURASIP Journal on Image and Video Processing, Multimedia Systems (MMSJ), Image and Vision Computing (IMAVIS)
- Tutorial: Deep Learning for Multimedia: ACM ICMR 2020, MMM 2019.
- Organization Commitee: Deep Learning Barcelona (2023, 2022, 2021, 2019, 2018), Lifelogging Tools and Applications (LTA) workshop at ACM Multimedia 2016 & 2017, Annual Catalan Meeting on Computer Vision (2020).
- Awards & recognitions
- Top 8% reviewer at NeurIPS 2021, Top 10% reviewer at NeurIPS 2020, Top 33% reviewer at ICML 2020, Outstanding reviewer mention at CVPR 2020, Best paper award at the CVPR 2019 DeepVision Workshop, Best scanpath prediction in Salient360 ICME Challenge 2017, Best poster award at LSCVS NIPS workshop 2016, Best poster award at ICMR 2016, Among Top 10% papers in ICIP 2015, Winner of the LSUN Saliency prediction challenge in CVPRW 2015, 2nd place in ChaLearn Cultural Event Recognition Challenge in CVPRW 2015, 2nd place in MediaEval Social Event Detection 2014, 3rd place in MediaEval Social Event Detection 2013, Winner of the Videobrowser Showdown in MMM 2012.
- Advisor for the awarded MSc thesis of Adrià Romero (Càtedra Telefònica 2017), Víctor Campos (ACIA 2017), Dèlia Fernàndez (MCV 2016) and Òscar Mañas (MCV 2020).