Institution
Romanian Academy
Archive•Bucharest, Romania•
About: Romanian Academy is a archive organization based out in Bucharest, Romania. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 3662 authors who have published 10491 publications receiving 146447 citations. The organization is also known as: Academia Română & Societatea Literară Română.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors studied a nonlocal convective and diffusive nonlocal equation with respect to the initial condition of solutions and proved existence, uniqueness, and continuous dependence.
121 citations
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TL;DR: The closest classical Gaussian state and the degree of nonclassicality are found using a recently established expression for the Uhlmann fidelity of two single-mode Gaussian states and the decrease of non classicality under thermal mapping is analyzed.
Abstract: We define the degree of nonclassicality of a one-mode Gaussian state of the quantum electromagnetic field in terms of the Bures distance between the state and the set of all classical one-mode Gaussian states. We find the closest classical Gaussian state and the degree of nonclassicality using a recently established expression for the Uhlmann fidelity of two single-mode Gaussian states. The decrease of nonclassicality under thermal mapping is carefully analyzed. Along the same lines, we finally present the evolution of nonclassicality during linear amplification.
119 citations
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TL;DR: It was showed that lignin is most sensitive component to the photodegradation processes as indicated by considerable decreases in the intensities of the characteristic aromatic lign in band at 1505cm(-1) and other associated bands.
119 citations
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TL;DR: A local folding mechanism is proposed that can explain the mechanism of inactivation of tyrosinaseN-glycosylation mutants found in certain pigmentation disorders.
119 citations
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18 Jun 2018TL;DR: The proposed architecture can be profiled to automatically generate images of a person dressed with different clothing transferred from a person in another image, opening paths for applications in entertainment and photo-editing, or affordable online shopping of clothing.
Abstract: We propose an automatic person-to-person appearance transfer model based on explicit parametric 3d human representations and learned, constrained deep translation network architectures for photographic image synthesis. Given a single source image and a single target image, each corresponding to different human subjects, wearing different clothing and in different poses, our goal is to photo-realistically transfer the appearance from the source image onto the target image while preserving the target shape and clothing segmentation layout. Our solution to this new problem is formulated in terms of a computational pipeline that combines (1) 3d human pose and body shape estimation from monocular images, (2) identifying 3d surface colors elements (mesh triangles) visible in both images, that can be transferred directly using barycentric procedures, and (3) predicting surface appearance missing in the first image but visible in the second one using deep learning-based image synthesis techniques. Our model achieves promising results as supported by a perceptual user study where the participants rated around 65% of our results as good, very good or perfect, as well in automated tests (Inception scores and a Faster-RCNN human detector responding very similarly to real and model generated images). We further show how the proposed architecture can be profiled to automatically generate images of a person dressed with different clothing transferred from a person in another image, opening paths for applications in entertainment and photo-editing (e.g. embodying and posing as friends or famous actors), the fashion industry, or affordable online shopping of clothing.
118 citations
Authors
Showing all 3740 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cristina Popescu | 74 | 285 | 18434 |
Adrian Covic | 73 | 570 | 17379 |
Gheorghe Paun | 65 | 399 | 18513 |
Floriana Tuna | 60 | 271 | 11968 |
Arto Salomaa | 56 | 374 | 17706 |
Jan A. Bergstra | 55 | 616 | 13436 |
Alexandru T. Balaban | 53 | 605 | 14225 |
Cristian Sminchisescu | 53 | 173 | 12268 |
Maya Simionescu | 47 | 192 | 10608 |
Marius Andruh | 46 | 239 | 8431 |
Werner Scheid | 46 | 518 | 9186 |
Vicenţiu D. Rădulescu | 46 | 360 | 7771 |
Cornelia Vasile | 44 | 297 | 7108 |
Irinel Popescu | 44 | 401 | 8448 |
Mihail Barboiu | 44 | 239 | 5789 |