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Historical and Modern Features for Buddha Statue Classification
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Historical and Modern Features for Buddha Statue Classification

B. Renoust
Matheus Oliveira Franca
J. Chan
Noa Garcia
Van Le
Ayaka Uesaka
Yuta Nakashima
Hajime Nagahara
Jueren Wang
Yutaka Fujioka
ArXiv (abs)PDFHTML

Papers citing "Historical and Modern Features for Buddha Statue Classification"

12 / 12 papers shown
Title
Context-Aware Embeddings for Automatic Art Analysis
Context-Aware Embeddings for Automatic Art Analysis
Noa Garcia
B. Renoust
Yuta Nakashima
35
52
0
10 Apr 2019
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
Noa Garcia
George Vogiatzis
45
107
0
23 Oct 2018
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
Yao Feng
Fan Wu
Xiaohu Shao
Yanfeng Wang
Xi Zhou
3DV3DH
66
691
0
21 Mar 2018
The Shape of Art History in the Eyes of the Machine
The Shape of Art History in the Eyes of the Machine
Ahmed Elgammal
Marian Mazzone
Bingchen Liu
Diana Kim
Mohamed Elhoseiny
GAN
47
107
0
23 Jan 2018
VGGFace2: A dataset for recognising faces across pose and age
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao
Li Shen
Weidi Xie
Omkar M. Parkhi
Andrew Zisserman
CVBM
95
2,630
0
23 Oct 2017
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
Gjorgji Strezoski
Marcel Worring
43
73
0
02 Aug 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,876
0
03 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Quantifying Creativity in Art Networks
Quantifying Creativity in Art Networks
Ahmed Elgammal
Babak Saleh
79
65
0
02 Jun 2015
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh
Ahmed Elgammal
61
289
0
05 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
Recognizing Image Style
Recognizing Image Style
Sergey Karayev
Matthew Trentacoste
Helen Han
A. Agarwala
Trevor Darrell
Aaron Hertzmann
Holger Winnemoeller
79
459
0
15 Nov 2013

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