Research

CVC women researchers included in the Special issue ‘Women in AI’ (MDPI journal)

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The paper 📄 ‘Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals’, by our #CVCPeople Dr Aura Hernandez Sabaté and Dr Debora Gil (& José Yauri), was published in the ‘#WomeninAI‘ special issue, MDPI Open Access Journal. This issue features 17 research articles on the field of #AI that have a woman as the first author. Read the paper ➡️ https://www.mdpi.com/2076-3417/12/5/2298/htm

CIP 2022

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After its eighth edition in Madrid back in 2019, the biennial celebration of the Iberian Conference on Perception (CIP) had to be postponed until this year due to the covid-19 pandemic. The ninth edition will be held from June 27 to June 29, in Barcelona, at Casa Convalescència. The venue, located in the historical complex of Hospital de la Santa Creu in Sant … Read more

Continual Learning from Pretrained Models

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Abstract: Continual Learning (CL) is a paradigm where an agent learns over time from a stream of data. In this talk, we will discuss how to exploit pretrained models in CL. First, we will talk about “continual pretraining”, a scenario where a large pretrained model is updated over time. The results show that continual pretraining … Read more

CVC at CVPR 2022 (with an Oral!)

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The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022, took place on 19-24 June in New Orleans and online. The Computer Vision Center contributed with the following papers:  CVPR Oral. An important milestone for CVC’s history!  LaTr: Layout-Aware Transformer for Scene-Text VQA, by Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, and … Read more

El simulador CARLA, guardonat amb el Premi Nacional de Recerca

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El Centre de Visió per Computador (CVC) i Intel Intelligent Systems Lab han estat guardonats amb el Premi Nacional al Partenariat Publicoprivat en R+I pel desenvolupament conjunt del simulador de codi obert sense ànim de lucre CARLA, per entrenar i validar sistemes de conducció autònoma. El premi s’ha lliurat el 7 de juny de 2022 … Read more

CVC at DAS (Document Analysis Systems Conference) 2022

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The 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, took place on 22-25 May in La Rochelle, France and online. CVC contributed with the papers:    A Multilingual Approach to Scene Text Visual Question Answering, by Josep Brugués i Pujolràs, Lluís Gómez i Bigordà, and Dimosthenis Karatzas  Read while you drive – multilingual text tracking on the road, by … Read more

Several CVC papers were presented at WACV 2022

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The Winter Conference on Applications of Computer Vision, WACV 2022, took place on 4-8 January. CVC contributed with several papers:   Class-Balanced Active Learning for Image Classification (Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez Fuentes, Bogdan Raducanu)  One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition (Mohamed Ali Souibgui, Ali Furkan Biten, Sounak … Read more

Dr. Gemma Rotger winner of Pioner Awards 2021

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Dr. Gemma Rotger, CVC Alumni, has been granted the CERCA Pioneer Award 2021 for her doctoral thesis. The prize is a recognition for researchers who have presented a doctoral thesis with results that are clearly aimed at commercial exploitation. The Pioner Awards aim to recognise those researchers working in one of the CERCA centres who … Read more

CVC participates in Deep Learning Barcelona as a key sponsor and contributes with several CVC researchers

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CVC is participating in the 3rd Deep Learning Barcelona Symposium (DLBCN) as a key sponsor and is contributing with several CVC researchers. CVC is present on the organizing committee as well as on talks and posters. This DLBCN edition expands its categories by adding a life sciences area as it is key in the current artificial intelligence … Read more

New system powered by deep learning makes it possible to detect Covid-19 lesions by analysing CT chest scans

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Researchers From The Eurecat Technology Centre, The CVC And The University Of Barcelona Have Developed An Automated System That Taps Into Deep Learning Technology To Detect Lesions Caused By Covid-19 By Reading Computed Tomography (CT) Chest Images. The study, conducted by researchers Giuseppe Pezzano, Vicent Ribas, Petia Radeva and Oliver Díaz, was recently published in the … Read more