Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Ayellet Tal"'
Publikováno v:
Mobile DNA, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Background Moloney murine leukemia virus (MLV) replication is suppressed in mouse embryonic stem cells (ESCs) by the Trim28-SETDB1 complex. The chromatin remodeler Smarcad1 interacts with Trim28 and was suggested to allow the deposition of t
Externí odkaz:
https://doaj.org/article/59a11ebc21184314b461ebf78b67245a
Publikováno v:
Clinical Epigenetics, Vol 15, Iss 1, Pp 1-13 (2023)
Abstract Background Integration of retroviruses into the host genome can impair the genomic and epigenomic integrity of the cell. As a defense mechanism, epigenetic modifications on the proviral DNA repress retroviral sequences in mouse embryonic ste
Externí odkaz:
https://doaj.org/article/accd8b0868e948fb884f9178d32c12dc
Publikováno v:
Viruses, Vol 12, Iss 9, p 1015 (2020)
Embryonic stem cells (ESC) have the ability to epigenetically silence endogenous and exogenous retroviral sequences. Trim28 plays an important role in establishing this silencing, but less is known about the role other Trim proteins play. The Tif1 fa
Externí odkaz:
https://doaj.org/article/7531f898de534df883d7f423eb4b2a3e
Autor:
Alon Lahav, Ayellet Tal
Publikováno v:
ACM Transactions on Graphics. 39:1-13
Most attempts to represent 3D shapes for deep learning have focused on volumetric grids, multi-view images and point clouds. In this paper we look at the most popular representation of 3D shapes in computer graphics---a triangular mesh---and ask how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8f64d09316d4c717fc2c6ac014c8e9
https://doi.org/10.1145/3414685.3417806
https://doi.org/10.1145/3414685.3417806
Publikováno v:
CVPR
This work focuses on object goal visual navigation, aiming at finding the location of an object from a given class, where in each step the agent is provided with an egocentric RGB image of the scene. We propose to learn the agent's policy using a rei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a546a8680da23fae452c2c2446bbe9c
https://doi.org/10.1109/cvpr46437.2021.01662
https://doi.org/10.1109/cvpr46437.2021.01662
Publikováno v:
Computers & Graphics. 82:183-192
This paper proposes an algorithm for finding correspondences between shapes in 3D. The method is designed to address three challenging cases: large deformations, partiality of the shapes, and topological noise. At the core of the method lies a novel,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be642ba9e3c1577e21bebf947291571f
https://doi.org/10.1016/j.cag.2019.05.011
https://doi.org/10.1016/j.cag.2019.05.011
Mesh representation by random walks has been shown to benefit deep learning. Randomness is indeed a powerful concept. However, it comes with a price: some walks might wander around non-characteristic regions of the mesh, which might be harmful to sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22fcf1cf477a8987a3bed9f1eb3fce79
http://arxiv.org/abs/2104.11571
http://arxiv.org/abs/2104.11571
Publikováno v:
CVPR
Jigsaw puzzle solving is an intriguing problem which has been explored in computer vision for decades. This paper focuses on a specific variant of the problem - solving puzzles with eroded boundaries. Such erosion makes the problem extremely difficul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::510e96a7e569f8ff78641e1129d7dd6b
https://doi.org/10.1109/cvpr42600.2020.00358
https://doi.org/10.1109/cvpr42600.2020.00358
Publikováno v:
Pattern Recognition. 119:108065
This paper focuses on the re-assembly of an archaeological artifact, given images of its fragments. This problem can be considered as a special challenging case of puzzle solving. The restricted case of re-assembly of a natural image from square piec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7ccbefffe8005723e9451314e9c895b
https://doi.org/10.1016/j.patcog.2021.108065
https://doi.org/10.1016/j.patcog.2021.108065
Autor:
Ori Nizan, Ayellet Tal
Publikováno v:
CVPR
This paper proposes a novel approach to performing image-to-image translation between unpaired domains. Rather than relying on a cycle constraint, our method takes advantage of collaboration between various GANs. This results in a multi-modal method,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54645750f04a143783b1fcad41822307
http://arxiv.org/abs/1911.10538
http://arxiv.org/abs/1911.10538