Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Loong Fah Cheong"'
Autor:
Aishwarya Parthasarathy, Cheng Tang, Roger Herikstad, Loong Fah Cheong, Shih-Cheng Yen, Camilo Libedinsky
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Working memory is maintained in the recurrent connectivity of prefrontal neurons; however, distractors lead to a morphing of the population code. Here, the authors show that a low dimensional subspace of activity maintains memory information even wit
Externí odkaz:
https://doaj.org/article/9abc5a7692b34c9ba6468363ce268ddf
Autor:
Loong Fah Cheong, Luca Bartolozzi
Publikováno v:
Fragmenta entomologica, Vol 50, Iss 1, Pp 7-10 (2018)
Calodromus mantillerii n. sp. and Calodromus goosseni n. sp. from Perak (Malaysia) are described on two single male specimens. The new taxa are closely related to Calodromus insignis (Senna, 1895) but can be easily distinguished by the very different
Externí odkaz:
https://doaj.org/article/4816062f5c984a2587d3d119ca44cd07
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695439
ACCV (6)
ACCV (6)
A few methods have been proposed to estimate the CRF from a single image, however most of them tend to fail in handling general real images. For instance, EdgeCRF based on patches extracted from colour edges works effectively only when the presence o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d943bc2487c69b98086be4922544b40e
https://doi.org/10.1007/978-3-030-69544-6_2
https://doi.org/10.1007/978-3-030-69544-6_2
Publikováno v:
3DV
Nighttime stereo depth estimation is still challenging, as assumptions associated with daytime lighting conditions do not hold any longer. Nighttime is not only about low-light and dense noise, but also about glow/glare, flares, non-uniform distribut
Publikováno v:
CVPR
Many methods have set state-of-the-art performance on restoring images degraded by bad weather such as rain, haze, fog, and snow, however they are designed specifically to handle one type of degradation. In this paper, we propose a method that can ha
Publikováno v:
WACV
Despite the rapid progress in discrete energy minimization, certain problems involving high connectivity and a high number of labels are considered very hard but are still very relevant in computer vision. We propose a post-processing technique to im
Publikováno v:
Hyperspectral Image Analysis ISBN: 9783030386160
In this work, a novel target detector for hyperspectral imagery is developed. The detector is independent on the unknown covariance matrix, behaves well in large dimensions, distributional free, invariant to atmospheric effects, and does not require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a932b94eb24d03526c66d4167880088
https://doi.org/10.1007/978-3-030-38617-7_15
https://doi.org/10.1007/978-3-030-38617-7_15
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 40:1964-1978
While clustering has been well studied in the past decade, model selection has drawn much less attention due to the difficulty of the problem. In this paper, we address both problems in a joint manner by recovering an ideal affinity tensor from an im
Autor:
Loong Fah Cheong, Aishwarya Parthasarathy, Roger Herikstad, Camilo Libedinsky, Shih-Cheng Yen, Cheng Tang
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Nature Communications
Nature Communications
Maintenance of working memory is thought to involve the activity of prefrontal neuronal populations with strong recurrent connections. However, it was recently shown that distractors evoke a morphing of the prefrontal population code, even when memor
Autor:
Carola Bibiane Schoenlieb, Loong-Fah Cheong, Qingnan Fan, Ruoteng Li, Angelica I. Aviles-Rivero, Robby T. Tan
Publikováno v:
ICCV
Optical flow in heavy rainy scenes is challenging due to the presence of both rain steaks and rain veiling effect, which break the existing optical flow constraints. Concerning this, we propose a deep-learning based optical flow method designed to ha