Zobrazeno 1 - 10 of 157 pro vyhledávání: '"Giró Nieto, Xavier"'
1
Pixinwav: Residual steganography for hiding pixels in audio
Autor: Geleta Geleta, Margarita, Puntí Álvarez, Cristina, McGuinness, Kevin, Pons Puig, Jordi, Canton Ferrer, Cristian, Giró Nieto, Xavier|||0000-0002-9935-5332
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Steganography comprises the mechanics of hiding data in a host media that may be publicly available. While previous works focused on unimodal setups (e.g., hiding images in images, or hiding audio in audio), PixInWav targets the multimodal case of hi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ebeab5277446a6684d76044b78ef77
https://hdl.handle.net/2117/368576
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2
H3D-Net: Few-shot high-fidelity 3D head reconstruction
Autor: Ramon Maldonado, Eduard, Triginer Garcés, Gil, Escurt i Gelabert, Janna, Pumarola Peris, Albert, García Giráldez, Jaime, Giró Nieto, Xavier, Moreno-Noguer, Francesc
Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Trabajo presentado en la International Conference on Computer Vision (ICCV), celebrada de forma virtual del 11 al 17 de octubre de 2021
Recent learning approaches that implicitly represent surface geometry using coordinate-based neural represent
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a0e359d788060ec09480228b69b85d3
http://hdl.handle.net/10261/265015
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3
Explore, discover and learn: unsupervised discovery of state-covering skills
Autor: Campos Camúñez, Víctor, Trott, Alex, Xiong, Caiming, Socher, Richard, Giró Nieto, Xavier|||0000-0002-9935-5332, Torres Viñals, Jordi|||0000-0003-1963-7418
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Acquiring abilities in the absence of a task-oriented reward function is at the frontier of reinforcement learning research. This problem has been studied through the lens of empowerment, which draws a connection between option discovery and informat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0fe7e612f77d17d93dfdc5b79bdf591
https://hdl.handle.net/2117/332308
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4
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Autor: Górriz, Marc, Antony, Joseph, McGuinness, Kevin, Giró Nieto, Xavier, O'Connor, Noel
Publikováno v: Gorriz, Marc, Antony, Joseph ORCID: 0000-0001-6493-7829 , McGuinness, Kevin ORCID: 0000-0003-1336-6477 , Giró-i-Nieto, Xavier ORCID: 0000-0002-9935-5332 and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 (2019) Assessing knee OA severity with CNN attention-based end-to-end architectures. In: International Conference on Medical Imaging with Deep Learning (MIDL 2019), 8-10 July, 2019, London, UK.
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervised fine-gr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62cde2214c49420e41f3c1594e5bf775
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5
VLX-Stories: a semantically linked event platform for media publishers
Autor: Fernández Cañellas, Dèlia, Espadaler, Joan, Garolera, Blai, Rodríguez, David, Canet, Gemma, Colom, Aleix, Rimmek, Joan Marco, Giró Nieto, Xavier, Bou Balust, Elisenda, Riveiro, Juan Carlos
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
In the recent years, video sharing in social media from different video recording devices has resulted in a exponential growth of videos on the Internet. Such video data is continuously increasing with daily recordings related to a wide number of top
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a8c65bb388b231d82a9de4e2f31f5fed
http://hdl.handle.net/2117/183301
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7
Linking media: adopting semantic technologies for multimodal media connection
Autor: Fernàndez, Dèlia, Bou Balust, Elisenda, Giró Nieto, Xavier, Riviero, Juan Carlos, Espadaler, Joan, Rodríguez, David, Colom Serra, Aleix, Rimmerk, Joan Marco, Varas, David, Massuda, Issey, Roig, Carlos
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Today's media and news organizations are constantly generating large amounts of multimedia content, majorly delivered online. As the online media market grows, the management and delivery of contents is becoming a challenge. Computational approaches
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8d8e617808b6c343a11b8e3079ea1195
http://hdl.handle.net/2117/132968
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8
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Autor: Campos, Víctor, Jou, Brendan, Giró Nieto, Xavier, Torres Viñals, Jordi, Chang, Shih-Fu
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty in capturing long term depend
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3333f824d6de6d6a7b097bc4438bdf8
http://arxiv.org/abs/1708.06834
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10
Hierarchical Object Detection with Deep Reinforcement Learning
Autor: Bellver, Míriam, Giró Nieto, Xavier|||0000-0002-9935-5332, Marqués Acosta, Fernando|||0000-0001-8311-1168, Torres Viñals, Jordi|||0000-0003-1963-7418
Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
We present a method for performing hierarchical object detection in images guided by a deep reinforcement learning agent. The key idea is to focus on those parts of the image that contain richer information and zoom on them. We train an intelligent a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c3aa0293e03f388ca24a19a20095539
http://arxiv.org/abs/1611.03718
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