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pro vyhledávání: '"Caplier, Alice"'
Medical language processing and deep learning techniques have emerged as critical tools for improving healthcare, particularly in the analysis of medical imaging and medical text data. These multimodal data fusion techniques help to improve the inter
Externí odkaz:
http://arxiv.org/abs/2402.11908
The success of deep learning models depends on the size and quality of the dataset to solve certain tasks. Here, we explore how far generated data can aid real data in improving the performance of Neural Networks. In this work, we consider facial exp
Externí odkaz:
http://arxiv.org/abs/2303.15223
Synthetic corruptions gathered into a benchmark are frequently used to measure neural network robustness to distribution shifts. However, robustness to synthetic corruption benchmarks is not always predictive of robustness to distribution shifts enco
Externí odkaz:
http://arxiv.org/abs/2107.12052
Neural Networks are sensitive to various corruptions that usually occur in real-world applications such as blurs, noises, low-lighting conditions, etc. To estimate the robustness of neural networks to these common corruptions, we generally use a grou
Externí odkaz:
http://arxiv.org/abs/2105.12357
Despite their performance, Artificial Neural Networks are not reliable enough for most of industrial applications. They are sensitive to noises, rotations, blurs and adversarial examples. There is a need to build defenses that protect against a wide
Externí odkaz:
http://arxiv.org/abs/2008.08384
Neural Networks have been shown to be sensitive to common perturbations such as blur, Gaussian noise, rotations, etc. They are also vulnerable to some artificial malicious corruptions called adversarial examples. The adversarial examples study has re
Externí odkaz:
http://arxiv.org/abs/1909.02436
Autor:
Chanti, Dawood Al, Caplier, Alice
Micro-expressions (MEs) are infrequent and uncontrollable facial events that can highlight emotional deception and appear in a high-stakes environment. This paper propose an algorithm for spatiotemporal MEs spotting. Since MEs are unusual events, we
Externí odkaz:
http://arxiv.org/abs/1903.04354
Autor:
Chanti, Dawood Al, Caplier, Alice
Facial expression is the most natural means for human beings to communicate their emotions. Most facial expression analysis studies consider the case of acted expressions. Spontaneous facial expression recognition is significantly more challenging si
Externí odkaz:
http://arxiv.org/abs/1810.00362
Autor:
Chanti, Dawood Al, Caplier, Alice
Publikováno v:
In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5, pages 145-152, year=2018
Bag-of-Visual-Words (BoVW) approach has been widely used in the recent years for image classification purposes. However, the limitations regarding optimal feature selection, clustering technique, the lack of spatial organization of the data and the w
Externí odkaz:
http://arxiv.org/abs/1810.00360
Publikováno v:
In Computer Vision and Image Understanding July 2020 196
