Research

Areas of Excellence

Closeup of X-ray photography of human brain

Health & Wellbeing

  • Computer-assisted diagnosis, intervention and planning
  • Biomedical applications
  • ​Augmented Modelling
  • eHealth Intelligent Systems
  • Well-being and ambient assisted living
  • Behaviour & Cognitive analysis
Headlight lamp of black modern car, close-up

Mobility & Smart Cities

  • Advanced Driving Systems
  • Automated and Cooperative Driving in the City
  • Simulators for Autonomous Driving
  • Unmanned Aerial Vehicles
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Culture, Creativity & Inclusive Society

  • Cultural heritage (AR/VR)
  • Reading Systems
  • Document Analysis
  • Handwriting recognition
  • Experience-based technologies
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Digital & Industry

  • Quality Control
  • AR/VR technologies for Industry 4.0
  • Robotic Vision
  • Recycling systems
  • Traceability
Agriculture IoT with rice field background

Agrifood & Environment

  • Food Recognition
  • Smart Farming
  • Multispectral Image Analysis for Agriculture & Forests
Retinal biometrics technology with man’s eye digital remix

Civil Security for Society 

  • Video Analytics
  • Document verification
  • Biometric Analysis
  • Crowd Counting

Research News

CVCRD 2023 – 18th CVC Workshop on Computer Vision Trends and Challenges

July 21, 2023

We’re excited to share insights from the 18th CVC Workshop on Computer Vision Trends and Challenges (CVCRD), held on July 14! CVCRD is our annual workshop where CVC PhD students present their latest research and engage in discussions about their plans and expectations. It’s a platform for dialogues between senior researchers and students, exploring challenges … Read more

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Interpretable-by-design Prototype-based Deep Learning

March 31, 2023

Abstract: Deep Learning justifiably attracted the attention and interest of the scientific community and industry as well as of the wider society and even policy makers. However, the predominant architectures (from Convolutional Neural Networks to Transformers) are hyper-parametric models with weights/parameters being detached from the physical meaning of the object of modelling. They are, essentially, … Read more

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Meta-RL for Visual Semantic Navigation

March 16, 2023

Abstract: Semantic and goal-oriented visual navigation is one of the most prominent tasks performed by intelligent species in their daily lives. This task is defined as the ability we have to navigate through our environment, finding targets and enabling interaction with it. Navigation methods used in robotics can be divided into two main categories: geometry-based … Read more

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Self-supervised Learning from Images, and Augmentations

March 1, 2023

Abstract:  In this talk, Yuki M. Asano will talk about pushing the limits of what can be learnt without using any human annotations. After a first overview of what self-supervised learning is, we will first dive into how clustering can be combined with representation learning using optimal transport ([1] @ ICLR’20), a paradigm still relevant … Read more

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Mining large medical radiology image repositories

February 9, 2023

Abstract: Developing clinical predictive models by processing medical radiology images is often challenging due to high variability of data, noise and data scarcity. Using pre-trained feature extractors in deep learning configurations to initialise weights is often beneficial to the model optimisation process, leading to faster convergence and more accurate models. Although one can also benefit … Read more

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CVC at Deep Learning Barcelona Symposium 2022

December 20, 2022

Once again CVC is participating in Deep Learning Barcelona Symposium (DLBCN) held at the UPC-Campus Nord, Barcelona, on 19 December. The event aims to showcase research on deep learning carried out by scientists in/from Barcelona (Scientists who currently work in Barcelona or who pursued part of their studies or career in Barcelona). This unique meeting gathers researchers … Read more

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Improving generalization for classification and retrieval tasks

December 16, 2022

Abstract: In this talk we will present recent works that generally aim at improving the generalization of visual representations on both classification and retrieval tasks. We will start from a recent work on supervised pre-training and will present an approach that aims to improve the transferability of encoders learned in a supervised manner, while retaining … Read more

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Deep Learning for Document, Scene and Satellite Images Processing and Recognition

December 1, 2022

Abstract: Deep learning applications have been thriving over the last decade in many different domains, including image processing and recognition. The driver for the vibrant development of deep learning have been the availability of abundant data. This talk reviews the main results of our research activities carried out over the last few years. During this … Read more

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From scans to information: end-to-end information extraction from documents

November 25, 2022

Abstract: With the advancement of Transformers, especially as far as computer vision is concerned, we are starting to apply end-to-end neural networks, without OCR or other pre-/postprocessing techniques, to the challenges of document understanding and information extraction. I will present developments in this area and discuss potential problems from both theoretical (handling longer sequences) and … Read more

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Five CVC scientists featured in the “Top 2% researchers in AI for 2021”

November 18, 2022

We are more than happy to announce that 5 of our #CVCPeople scientists were featured in the “Top 2% researchers in #AI for 2021″👉 September 2022 data-update for “Updated science-wide author databases of standardized citation indicators” – Elsevier BV (digitalcommonsdata.com). This ranking is created every year and makes publicly available a database of top-cited scientists providing standardized information on … Read more

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