Zobrazeno 1 - 10
of 1 037
pro vyhledávání: '"P Mrak"'
Autor:
Bohak, Ciril, Kovalskyi, Dmytro, Linev, Sergey, Tadel, Alja Mrak, Strban, Sebastien, Tadel, Matevz, Yagil, Avi
ROOT-Eve (REve), the new generation of the ROOT event-display module, uses a web server-client model to guarantee exact data translation from the experiments' data analysis frameworks to users' browsers. Data is then displayed in various views, inclu
Externí odkaz:
http://arxiv.org/abs/2312.11729
Video frame interpolation is an increasingly important research task with several key industrial applications in the video coding, broadcast and production sectors. Recently, transformers have been introduced to the field resulting in substantial per
Externí odkaz:
http://arxiv.org/abs/2307.06443
Existing datasets for manually labelled query-based video summarization are costly and thus small, limiting the performance of supervised deep video summarization models. Self-supervision can address the data sparsity challenge by using a pretext tas
Externí odkaz:
http://arxiv.org/abs/2307.01945
Autor:
Kastriot Kastrati, Thomas S. Nakuz, Oana C. Kulterer, Irina Geßl, Elisabeth Simader, Daniel Mrak, Michael Bonelli, Hans Peter Kiener, Florian Prayer, Helmut Prosch, Daniel Aletaha, Werner Langsteger, Tatjana Traub-Weidinger, Stephan Blüml, Helga Lechner-Radner, Marcus Hacker, Peter Mandl
Publikováno v:
EClinicalMedicine, Vol 72, Iss , Pp 102598- (2024)
Summary: Background: Interstitial lung disease (ILD) is a common manifestation of idiopathic inflammatory myopathies (IIM) and a substantial contributor to hospitalisation, increased morbidity, and mortality. In-vivo evidence of ongoing tissue remode
Externí odkaz:
https://doaj.org/article/922c3788a5e74b59a694b3a7fc623bb4
In this paper we propose a generative adversarial network (GAN) framework to enhance the perceptual quality of compressed videos. Our framework includes attention and adaptation to different quantization parameters (QPs) in a single model. The attent
Externí odkaz:
http://arxiv.org/abs/2206.07893
Autor:
Liu, Zhaocheng, Herranz, Luis, Yang, Fei, Zhang, Saiping, Wan, Shuai, Mrak, Marta, Blanch, Marc Górriz
Neural video compression has emerged as a novel paradigm combining trainable multilayer neural networks and machine learning, achieving competitive rate-distortion (RD) performances, but still remaining impractical due to heavy neural architectures,
Externí odkaz:
http://arxiv.org/abs/2205.06754
Video frame interpolation involves the synthesis of new frames from existing ones. Convolutional neural networks (CNNs) have been at the forefront of the recent advances in this field. One popular CNN-based approach involves the application of genera
Externí odkaz:
http://arxiv.org/abs/2205.06723
Autor:
Naumann, Axel, Canal, Philippe, Tejedor, Enric, Guiraud, Enrico, Moneta, Lorenzo, Bellenot, Bertrand, Couet, Olivier, Tadel, Alja Mrak, Tadel, Matevz, Linev, Sergey, Gomez, Javier Lopez, Rembser, Jonas, Padulano, Vincenzo Eduardo, Blomer, Jakob, Hahnfeld, Jonas, Gruber, Bernhard Manfred, Vassilev, Vassil
ROOT is high energy physics' software for storing and mining data in a statistically sound way, to publish results with scientific graphics. It is evolving since 25 years, now providing the storage format for more than one exabyte of data; virtually
Externí odkaz:
http://arxiv.org/abs/2205.06121
Autor:
Naumann, Axel, Canal, Philippe, Tejedor, Enric, Guiraud, Enrico, Moneta, Lorenzo, Bellenot, Bertrand, Couet, Olivier, Tadel, Alja Mrak, Tadel, Matevz, Linev, Sergey, Gomez, Javier Lopez, Rembser, Jonas, Padulano, Vincenzo Eduardo, Blomer, Jakob, Hahnfeld, Jonas, Gruber, Bernhard Manfred, Vassilev, Vassil
This document discusses the state, roadmap, and risks of the foundational components of ROOT with respect to the experiments at the HL-LHC (Run 4 and beyond). As foundational components, the document considers in particular the ROOT input/output (I/O
Externí odkaz:
http://arxiv.org/abs/2204.04557
In video coding, in-loop filters are applied on reconstructed video frames to enhance their perceptual quality, before storing the frames for output. Conventional in-loop filters are obtained by hand-crafted methods. Recently, learned filters based o
Externí odkaz:
http://arxiv.org/abs/2203.08650