ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.06029
  4. Cited By
Towards Diverse and Natural Image Descriptions via a Conditional GAN
v1v2v3 (latest)

Towards Diverse and Natural Image Descriptions via a Conditional GAN

17 March 2017
Bo Dai
Sanja Fidler
R. Urtasun
Dahua Lin
    GAN
ArXiv (abs)PDFHTML

Papers citing "Towards Diverse and Natural Image Descriptions via a Conditional GAN"

25 / 25 papers shown
Title
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Jiuniu Wang
Wenjia Xu
Qingzhong Wang
Antoni B. Chan
166
0
0
03 Apr 2025
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are
  Failing to Reproduce Spectral Distributions
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Ricard Durall
Margret Keuper
J. Keuper
71
337
0
03 Mar 2020
Scene Graph Generation from Objects, Phrases and Region Captions
Scene Graph Generation from Objects, Phrases and Region Captions
Yikang Li
Wanli Ouyang
Bolei Zhou
Kun Wang
Xiaogang Wang
87
504
0
31 Jul 2017
Detecting Visual Relationships with Deep Relational Networks
Detecting Visual Relationships with Deep Relational Networks
Bo Dai
Yuqi Zhang
Dahua Lin
GNN
100
502
0
11 Apr 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
130
1,452
0
06 Dec 2016
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
107
1,887
0
02 Dec 2016
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Improved Image Captioning via Policy Gradient optimization of SPIDEr
Siqi Liu
Zhenhai Zhu
Ning Ye
S. Guadarrama
Kevin Patrick Murphy
139
446
0
01 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
328
19,675
0
21 Nov 2016
A Hierarchical Approach for Generating Descriptive Image Paragraphs
A Hierarchical Approach for Generating Descriptive Image Paragraphs
J. Krause
Justin Johnson
Ranjay Krishna
Li Fei-Fei
VLM
82
377
0
20 Nov 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
72
2,405
0
18 Sep 2016
SPICE: Semantic Propositional Image Caption Evaluation
SPICE: Semantic Propositional Image Caption Evaluation
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
EGVM
106
1,918
0
29 Jul 2016
Watch What You Just Said: Image Captioning with Text-Conditional
  Attention
Watch What You Just Said: Image Captioning with Text-Conditional Attention
Luowei Zhou
Chenliang Xu
Parker A. Koch
Jason J. Corso
VLM
37
44
0
15 Jun 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
205
3,148
0
17 May 2016
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
171
1,662
0
12 Mar 2016
Exploring Nearest Neighbor Approaches for Image Captioning
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin
Saurabh Gupta
Ross B. Girshick
Margaret Mitchell
C. L. Zitnick
177
195
0
17 May 2015
Language Models for Image Captioning: The Quirks and What Works
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin
Hao Cheng
Hao Fang
Saurabh Gupta
Li Deng
Xiaodong He
Geoffrey Zweig
Margaret Mitchell
88
281
0
07 May 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
348
10,079
0
10 Feb 2015
Simple Image Description Generator via a Linear Phrase-Based Approach
Simple Image Description Generator via a Linear Phrase-Based Approach
R. Lebret
Pedro H. O. Pinheiro
R. Collobert
VLM
77
34
0
29 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
140
5,590
0
07 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
295
4,508
0
20 Nov 2014
From Captions to Visual Concepts and Back
From Captions to Visual Concepts and Back
Hao Fang
Saurabh Gupta
F. Iandola
R. Srivastava
Li Deng
...
Xiaodong He
Margaret Mitchell
John C. Platt
C. L. Zitnick
Geoffrey Zweig
VLM
110
1,312
0
18 Nov 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
249
6,035
0
17 Nov 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
258
10,419
0
06 Nov 2014
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
100,479
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,777
0
01 May 2014
1