Advancing 3D Point Cloud Understanding in Real-World Applications 

    Zoumpekas, Athanasios (Date of defense: 2024-06-03)

    [eng] In recent years, rapid advancements in 3D sensing technologies, such as LiDAR, have revolutionized various fields, spanning robotics, augmented reality, earth vision, and industrial manufacturing. Point clouds, ...

    Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning 

    Brando Guillaumes, Axel (Date of defense: 2022-07-18)

    Nowadays, we live in an intrinsically uncertain world from our perspective. We do not know what will happen in the future but, to infer it, we build the so-called models. These models are abstractions of the world we live ...

    Application of Radiomics-based Machine Learning models on complex cardíac diseases 

    Izquierdo, Cristian (Date of defense: 2024-07-18)

    [eng] This doctoral thesis investigates the combination of radiomics and machine learning (ML) within the field of cardiology, emphasizing early detection and prognosis of complex cardiovascular diseases (CVDs). Radiomics ...

    Automatic Cardiac Segmentation of Complex Morphologies, Modalities and Tissues 

    Martín Isla, Carlos (Date of defense: 2024-01-18)

    [eng] Cardiovascular diseases (CVDs) continue to take a significant toll on global health, highlighting the need for more accurate and efficient diagnostic tools. This thesis, titled "Automatic Cardiac Segmentation of ...

    Gaze Estimation with Spatiotemporal and Multimodal Deep Learning 

    Palmero Cantariño, Cristina (Date of defense: 2024-01-22)

    [eng] lt is often said that the eyes are the window to the soul. The eyes and their behavior have sparked interest for centuries, and have been widely studied due to their link with multiple developmental, neurological, ...

    Improving Performance and Interpretability in Recognizing Facial Action Units with Deep Neural Networks 

    Corneanu, Cipiran Adrian (Date of defense: 2019-12-13)

    Facial expressions are vital ways of communication between humans in social contexts. They are used as conversational markers and they convey information about affective and cognitive state. Many applications would benefit ...

    Integración de técnicas de personalización basadas en el comportamiento colaborativo del ser humano con interfaces de usuario inteligentes 

    Contreras Aguilar, David (Date of defense: 2017-07-21)

    Esta tesis está enfocada en la problemática asociada a la personalización de información para usuarios que interactúan con grandes volúmenes de información. En concreto, la tesis se centra en el estudio de los sistemas de ...

    Learning to recognize human actions: from hand-crafted to deep-learning based visual representations 

    Clapés i Sintes, Albert (Date of defense: 2019-02-04)

    Action recognition is a very challenging and important problem in computer vision. Researchers working on this field aspire to provide computers with the ability to visually perceive human actions – that is, to observe, ...

    Lifestyle Understanding through the Analysis of Egocentric Photo-streams 

    Talavera Martínez, Estefanía (Date of defense: 2020-02-14)

    Describing people’s lives has become a hot topic in several disciplines. Lifelogging appeared in the 1960s as the process of recording and tracking personal activity data generated by the daily behaviour of a person. The ...

    Mastering the Triad of Data, Models and Tasks in Deep Learning for Image Understanding 

    Nagarajan, Bhalaji (Date of defense: 2024-06-27)

    [eng] Deep learning's rapid growth brings vast application potential across diverse domains. Achieving optimal performance hinges on a critical interplay between three key elements: powerful model architectures, vast amounts ...

    Social Signal Processing from Egocentric Photo-Streams 

    Aghaei, Maedeh (Date of defense: 2018-07-13)

    Wearable photo-cameras offer a hands-free way to record images from the camera- wearer perspective of daily experiences as they are lived, without the necessity to interrupt recording due to the device battery or storage ...

    Value-aligned norm selection 

    Serramia Amoros, Marc (Date of defense: 2021-09-29)

    Norms have been widely enacted in both human and agent societies to regulate the actions that individuals can perform. However, although legislators may have ethics in mind when establishing norms, moral values are seldom ...