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pro vyhledávání: '"Neves,João"'
The main challenges hindering the adoption of deep learning-based systems in clinical settings are the scarcity of annotated data and the lack of interpretability and trust in these systems. Concept Bottleneck Models (CBMs) offer inherent interpretab
Externí odkaz:
http://arxiv.org/abs/2411.05609
The growing demand for surveillance in public spaces presents significant challenges due to the shortage of human resources. Current AI-based video surveillance systems heavily rely on core computer vision models that require extensive finetuning, wh
Externí odkaz:
http://arxiv.org/abs/2410.21113
Super-resolution algorithms often struggle with images from surveillance environments due to adverse conditions such as unknown degradation, variations in pose, irregular illumination, and occlusions. However, acquiring multiple images, even of low q
Externí odkaz:
http://arxiv.org/abs/2408.15386
Autor:
Gholipour, Hamed, Bozorgnia, Farid, Hambarde, Kailash, Mohammadigheymasi, Hamzeh, Mancilla, Javier, Sequeira, Andre, Neves, Joao, Proença, Hugo
Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. This study investigates the performance of the Laplacian-based Quantum Se
Externí odkaz:
http://arxiv.org/abs/2408.05498
Autor:
Patrício, Cristiano, Barbano, Carlo Alberto, Fiandrotti, Attilio, Renzulli, Riccardo, Grangetto, Marco, Teixeira, Luis F., Neves, João C.
Contrastive Analysis (CA) regards the problem of identifying patterns in images that allow distinguishing between a background (BG) dataset (i.e. healthy subjects) and a target (TG) dataset (i.e. unhealthy subjects). Recent works on this topic rely o
Externí odkaz:
http://arxiv.org/abs/2406.00772
Publikováno v:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, 2024
The Pal\'acio do Planalto, office of the President of Brazil, was invaded by protesters on January 8, 2023. Surveillance videos taken from inside the building were subsequently released by the Brazilian Supreme Court for public scrutiny. We used segm
Externí odkaz:
http://arxiv.org/abs/2404.18876
Publikováno v:
Journal of Property Investment & Finance, 2024, Vol. 42, Issue 6, pp. 554-575.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JPIF-02-2024-0025
Concept-based models naturally lend themselves to the development of inherently interpretable skin lesion diagnosis, as medical experts make decisions based on a set of visual patterns of the lesion. Nevertheless, the development of these models depe
Externí odkaz:
http://arxiv.org/abs/2311.14339
In forensic facial comparison, questioned-source images are usually captured in uncontrolled environments, with non-uniform lighting, and from non-cooperative subjects. The poor quality of such material usually compromises their value as evidence in
Externí odkaz:
http://arxiv.org/abs/2305.00352
Early detection of melanoma is crucial for preventing severe complications and increasing the chances of successful treatment. Existing deep learning approaches for melanoma skin lesion diagnosis are deemed black-box models, as they omit the rational
Externí odkaz:
http://arxiv.org/abs/2304.04579