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1506.01144
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What value do explicit high level concepts have in vision to language problems?
3 June 2015
Qi Wu
Chunhua Shen
Lingqiao Liu
A. Dick
Anton Van Den Hengel
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Papers citing
"What value do explicit high level concepts have in vision to language problems?"
10 / 60 papers shown
Title
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
21
232
0
02 Dec 2016
Semantic Regularisation for Recurrent Image Annotation
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
34
103
0
16 Nov 2016
Boosting Image Captioning with Attributes
Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
VLM
48
620
0
05 Nov 2016
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering
Youngjae Yu
Hyungjin Ko
Jongwook Choi
Gunhee Kim
14
230
0
10 Oct 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
BDL
CoGe
30
746
0
28 Sep 2016
FVQA: Fact-based Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton van den Hengel
A. Dick
CoGe
39
454
0
17 Jun 2016
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
67
1,652
0
12 Mar 2016
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
Anton Van Den Hengel
Peng Wang
A. Dick
27
360
0
09 Mar 2016
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
CoGe
16
284
0
17 Nov 2015
Explicit Knowledge-based Reasoning for Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton Van Den Hengel
A. Dick
39
257
0
09 Nov 2015
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