Exploració per autor "Canet Tarrés, Gemma"
Ara es mostren els items 1-5 de 5
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Context-unsupervised adversarial network for video sensors
Canet Tarrés, Gemma; Pardàs Feliu, Montse (Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-21)
Article
Accés obertForeground object segmentation is a crucial first step for surveillance systems based on networks of video sensors. This problem in the context of dynamic scenes has been widely explored in the last two decades, but it ... -
Estimating the mass of a black hole
Canet Tarrés, Gemma; Melgarejo Lermas, Irene (Universitat Politècnica de Catalunya, 2017)
Treball d'assignatura
Accés obertA black hole is a region of spacetime where the force of gravity makes it impossible for anything to escape it. Therefore, the only way to study its properties is by analyzing the X-rays it emits. The aim of this project ... -
Refinement network for unsupervised on the scene foreground segmentation
Pardàs Feliu, Montse; Canet Tarrés, Gemma (European Association for Signal Processing (EURASIP), 2020)
Text en actes de congrés
Accés obertUnsupervised learning represents one of the most interesting challenges in computer vision today. The task has an immense practical value with many applications in artificial intelligence and emerging technologies, as large ... -
Using heterogeneity for obtaining the Medial Axis Transform of natural images
Canet Tarrés, Gemma (Universitat Politècnica de Catalunya, 2018-05)
Treball Final de Grau
Accés obertFrom Blum's Medial Axis Transform, that obtains the skeleton of binary images by joining the centers of all maximal inscribed disks in the shape, the AMAT was developed. The Appearance-MAT is a method that aims to compute ... -
VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection
Fernández Cañellas, Dèlia; Espadaler, Joan; Rodríguez, David; Garolera, Blai; Canet Tarrés, Gemma; Colom Serra, Aleix; Rimmek, Joan Marco; Giró Nieto, Xavier; Bou Balust, Elisenda; Riveiro, Juan Carlos (Springer, 2019)
Comunicació de congrés
Accés restringit per política de l'editorialWe present an online multilingual system for event detection and comprehension from media feeds. The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by ...