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
Restrooms are commonly designated with gendered signage for males and females. However, it is important to be aware of the harmful stereotypes this broadly accepted dichotomy reinforces. In order to overcome this negative effect, bathrooms should be redesigned to be more inclusive. The Computer Vision Center (CVC) is firmly committed to equality, diversity and inclusion. CVC’s vision on gender stands on equal … Read more
El CVC s’ha adherit recentment al Clúster Audiovisual de Catalunya. El CVC, amb més de 27 anys d’experiència en el camp de la recerca, innovació i formació en visió per computador, s’ha incorporat com a nou soci del clúster, una iniciativa que serveix de punt de trobada de més de 150 empreses i institucions de … Read more
El Parc de Recerca UAB, el Centre de Visió per Computador, l’Escola d’Enginyeria de la UAB i l’Institut d’Investigació en Intel·ligència Artificial del CSIC posen en marxa la quarta edició de l’AI4ALL, una formació especialitzada dirigida a persones que vulguin emprendre en aquest sector emergent. Les inscripcions ja estan obertes. La intel·ligència artificial és una … Read more
