The 9th Annual Catalan Meeting on Computer Vision (ACMCV 2022) took place this year on September 19. The event organised by the Computer Vision Center (CVC), in collaboration with the coordinators of the Master in Computer Vision (MCV) of several Catalan universities (UAB, UOC, UPC and UPF), brings together the computer vision community of Catalonia, … Read more
El Centre de Visió per Computador va acollir el passat tretze de setembre l’acte d’inauguració de la quarta edició del programa especialitzat en intel·ligència artificial aplicada a la indústria (AI4ALL). Un programa formatiu que té com a objectiu fomentar l’emprenedoria en aquest sector emergent. El director general d’Innovació i Economia Digital de la Generalitat de … Read more
Every year, Generalitat of Catalonia awards those students who performed the best during their baccalaureate studies with an official merit prize, known as ‘Premi Extraordinari de Batxillerat’. The award recognizes the winners with different special treats. Among them, the awarded students can undertake a short internship in a research center or institution of their interest. … Read more
The Computer Vision Center has sponsored Formula Student Spain for the second year in a row. Formula Student is a competition that challenges teams of university students to conceive, design, fabricate, develop and compete with small, formula-style race cars. Engineering students worldwide can participate in this educational project and gain experience working in the field. … Read more
Dr. Petia Radeva, a Computer Vision Center (CVC) and University of Barcelona Senior Researcher, has been included in the first 6% ranking of the Spanish and foreign most cited female researchers according to Google Scholar. The Spanish National Research Council (CSIC), as part of its commitment on gender equality, published the first edition of the Spanish and foreign female researchers ranking (Spain-based researchers). This ranking was built from data collected from personal Google Scholar … Read more
Neural image compression is a new paradigm where codecs are modeled as deep neural networks whose parameters are learned from data. There has been increasing interest in this paradigm as a possible competitor to traditional image coding methods based on block-based transform coding. If you are interested in learning more about neural image compression, do … Read more
Dr Josep Lladós, CVC Director, has received the IAPR certificate of appreciation for his long-term leadership service with impact on the association’s committees. The International Association for Pattern Recognition (IAPR) is an international association of non-profit, scientific or professional organizations concerned with pattern recognition, computer vision, and image processing in a broad sense. IAPR aims to promote … Read more
Dr Sergio Escalera, CVC and University of Barcelona researcher, has been elected a fellow of the International Association of Pattern Recognition for his contributions to the field of Pattern Recognition and Human Behaviour Analysis. The International Association for Pattern Recognition (IAPR) is an international association of non-profit, scientific or professional organizations concerned with pattern recognition, … Read more
The 26th International Conference on Pattern Recognition (ICPR), took place on 21-25 August in Montréal, Québec. The Computer Vision Center contributed with the following papers: DocEnTr: An End-to-End Document Image Enhancement Transformer Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós, Umapada Pal Visual Transformers with Primal Object Queries for Multi-Label Image Classification Vacit Oguz Yazici, Joost … Read more
On July 22nd, we celebrated CVC’s 17th Workshop on Computer Vision Trends and Challenges (CVCR&D2022), our annual half-day workshop in which PhD students at CVC present the state-of-the-art of their research, as well as their future lines of work. This year’s Organising Committee has been formed by Dr Fei Yang and Dr Kai Wang, together with the … Read more
