Zobrazeno 1 - 7
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pro vyhledávání: '"Seonghwa Choi"'
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Single-image 3-D reconstruction has long been a challenging problem. Recent deep learning approaches have been introduced to this 3-D area, but the ability to generate point clouds still remains limited due to inefficient and expensive 3-D representa
Publikováno v:
ICIP
In this paper, we propose a new convolutional layer for neural networks on unordered and irregular point set. Most research advanced to date usually face multiple problem related to point cloud density and may require ad-hoc neural network architectu
Publikováno v:
ICIP
Even though zero padding is usually a staple in convolutional neural networks to maintain the output size, it is highly suspicious because it significantly alters the input distribution around border region. To mitigate this problem, in this paper, w
Publikováno v:
ICIP
We propose an approach to reconstruct a precise and dense 3d point cloud from a single image. Previous works employed reconstruction to complexity 3D shape or directly regression location from image. However, while the former requires overhead constr
Publikováno v:
ICASSP
We re-define multimodality and introduce a simple approach to multimodal and arbitrary style transfer. Conventionally, style transfer methods are limited to synthesizing a deterministic output based on a single style, and there has been no work that
Publikováno v:
ICCV
In this paper, we present a novel deep method to reconstruct a point cloud of an object from a single still image. Prior arts in the field struggle to reconstruct an accurate and scalable 3D model due to either the inefficient and expensive 3D repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d96968c82e6524ae210fbfff04536151
Autor:
Jeonghun Kwak, Ji Man Kim, Seonghwa Choi, Yunkyung Kim, Ji Hoon Yoo, Ki Yong Song, Mi Kyoung Han, Kwang Choon Chung
Publikováno v:
ACS Applied Materials & Interfaces. 7:15928-15934
Solution-processed silver nanowire (AgNW) films have attracted attention as transparent and conductive electrodes for flexible optoelectronic devices and touch screens, to replace sputtered indium-tin-oxide (ITO) films. However, the mechanical flexib