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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [5]
自动化研究所 [4]
地理科学与资源研究所 [1]
新疆生态与地理研究所 [1]
上海神经科学研究所 [1]
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OAI收割 [13]
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期刊论文 [7]
会议论文 [6]
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2020 [1]
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Urban street tree species identification and factor interpretation model based on natural images
期刊论文
OAI收割
URBAN FORESTRY & URBAN GREENING, 2024, 卷号: 101, 页码: 10
作者:
Li, Ziyang
;
Tao, Huan
;
Huai, Yongjian
;
Nie, Xiaoying
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2025/02/06
Shapley additive explanations
EfficientNet
Natural images
Tree identification
Urban planning
VQAPT: A New visual question answering model for personality traits in social media images
期刊论文
OAI收割
PATTERN RECOGNITION LETTERS, 2023, 卷号: 175, 页码: 66-73
作者:
Biswas, Kunal
;
Shivakumara, Palaiahnakote
;
Pal, Umapada
;
Liu, Cheng-Lin
;
Lu, Yue
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/02/22
Personality trait images
Multimodal concept
Text recognition
Social media images
Natural language processing
Visual question answering
Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep
期刊论文
OAI收割
NEUROIMAGE-CLINICAL, 2020, 卷号: 25, 页码: 18
作者:
Wang Shengpei
;
Yun, Li
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/06/02
Resting-state functional magnetic resonance images (rs-fMRI)
Brain network
Rich-club organization
Propofol-induced sedation
Natural sleep
Adversarial image generation by combining content and style
期刊论文
OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 14, 页码: 2716-2723
作者:
Liu, Songyan
;
Zhao, Chaoyang
;
Gao, Yunze
;
Wang, Jinqiao
;
Tang, Ming
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2020/03/30
image recognition
feature extraction
learning (artificial intelligence)
image texture
adversarial image generation
unique style
reference images
style feature extraction module
style specific image generation model
double-cycle training strategy
natural-content pairs
input natural images
style exchange
style-exchanged images
licence-plate image
handbags images
Multi-Discriminator Generative Adversarial Network for High Resolution Gray-Scale Satellite Image Colorization
会议论文
OAI收割
Valencia, Spain, 22-27 July 2018
作者:
Li FM(李非墨)
;
Ma L(马雷)
;
Cai J(蔡健)
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/10/03
pseudo-natural colorization
gray-scale satellite images
generative adversarial network
multiple discriminators
Spatial structure of neuronal receptive field in awake monkey secondary visual cortex (V2)
期刊论文
OAI收割
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 卷号: 113, 期号: 7, 页码: 1913-1918
作者:
Liu, L
;
She, L
;
Chen, M
;
Liu, TY
;
Lu, HDD
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2016/09/14
AREA V2
FUNCTIONAL-ORGANIZATION
STRIATE CORTEX
MACAQUE MONKEY
NATURAL IMAGES
INDEPENDENT COMPONENTS
OBJECT RECOGNITION
PRIMATE AREA-18
SIMPLE CELLS
FILTERS
Two dimensional principal components of natural images and its application
期刊论文
OAI收割
neurocomputing, 2011, 卷号: 74, 期号: 17, 页码: 2745-2753
作者:
Wang, Dong
;
Lu, Huchuan
;
Li, Xuelong
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2012/06/29
PCA
2DPCA
Principal components
Two dimensional principal components
Natural images
Scene matching based on directional keylines and polar transform (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision
it has the characteristics of rotation and scaling invariance
commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes
anti-light and anti-slight-distortion
the image distortion exist
applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation
such as light
and utilize the rotation-scale-invariance vectors to describe the extracted keylines
change of gray levels
this method includes three steps: keylines extraction
perspective
description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.
scaling and other differences
which cause matching difficult. This paper aims to find a scene matching algorithm
An efficient color transfer algorithm for recoloring multiband night vision imagery (EI CONFERENCE)
会议论文
OAI收割
Enhanced and Synthetic Vision 2010, April 6, 2010 - April 6, 2010, Orlando, FL, United states
作者:
Xu S.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
A color transfer method is presented to give fused multiband nighttime imagery a natural daytime color appearance in a simple and efficient way. Instead of using the traditional nonlinear l space
the proposed method transfers the color distribution of the target image (daylight color image) to the source image (fused multiband nighttime imagery) in the linear YCBCR color space. The YCBCR transformation is simpler and more suitable for image fusion compared to the l conversion. The YCBCR transformation can be extended into a general formalism. And the paper mathematically proves that
for color transfer
using color spaces conforming to this general YC BCR space framework can produce same recoloring results as using the YCBCR space. Experimental results demonstrate that the YCBCR based color transfer method works surprisingly well for transferring natural color characteristics of daylight color images to false color fused multiband nighttime imagery
and moreover
can also be successfully applied to recoloring a variety of color images. 2010 SPIE.
Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE)
会议论文
OAI收割
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010, Orlando, FL, United states
作者:
Xu S.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components
then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies
which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution
are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition
we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image
and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.