Gmsh: A 3‐D finite element mesh generator with built‐in pre‐ and post‐processing facilities
International Journal for Numerical Methods in Engineering, 2009 Christophe Geuzaine +1 more
exaly +2 more sources
Latest Advances in Acid Hydrolysis Technique for Production of Cellulose Nanocrystals (CNCs) as Reinforcing Component in Epoxy-Based Nanocomposites [PDF]
علوم و تکنولوژی پلیمر, 2023 Cellulose, as one of the most abundant natural polymers with a wide spectrum of applications, has drawn the attention of many researchers. In this regard, cellulose-base structures such as cellulose nanocrystals (CNCs) and nanocomposites are known as ...
Reyhaneh Laghaei +7 more
doaj +1 more source
Anchor-Free Oriented Proposal Generator for Object Detection [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Oriented object detection is a practical and challenging task in remote sensing image interpretation. Nowadays, oriented detectors mostly use horizontal boxes as intermedium to derive oriented boxes from them.
Gong Cheng +6 more
semanticscholar +1 more source
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 [PDF]
Computer Vision and Pattern Recognition, 2021 Videos show continuous events, yet most - if not all - video synthesis frameworks treat them discretely in time. In this work, we think of videos of what they should be - time-continuous signals, and extend the paradigm of neural representations to build
Ivan Skorokhodov +2 more
semanticscholar +1 more source
Kubric: A scalable dataset generator [PDF]
Computer Vision and Pattern Recognition, 2022 Data is the driving force of machine learning, with the amount and quality of training data often being more important for the performance of a system than architecture and training details. But collecting, processing and annotating real data at scale is
Klaus Greff +33 more
semanticscholar +1 more source
Extremely Fast Simulation of the Li--Ion Batteries Governing Equations [PDF]
Hydrogen, Fuel Cell & Energy Storage, 2023 The widespread use of batteries across various electrical applications, ranging from small devices to hybrid-electric vehicles, underscores the need for precise battery models. These models serve critical purposes such as design, optimization, monitoring,
Farschad Torabi, Namdar Kazemi
doaj +1 more source
A Style-Based Generator Architecture for Generative Adversarial Networks [PDF]
Computer Vision and Pattern Recognition, 2018 We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and ...
Tero Karras, S. Laine, Timo Aila
semanticscholar +1 more source
Get To The Point: Summarization with Pointer-Generator Networks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2017 Neural sequence-to-sequence models have provided a viable new approach for abstractive text summarization (meaning they are not restricted to simply selecting and rearranging passages from the original text).
A. See +2 more
semanticscholar +1 more source
Show and tell: A neural image caption generator [PDF]
Computer Vision and Pattern Recognition, 2014 Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing.
O. Vinyals +3 more
semanticscholar +1 more source
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction [PDF]
IEEE International Conference on Computer Vision, 2021 Pedestrian trajectory prediction is challenging due to its uncertain and multimodal nature. While generative adversarial networks can learn a distribution over future trajectories, they tend to predict out-of-distribution samples when the distribution of
Patrick Dendorfer +2 more
semanticscholar +1 more source