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Show and Tell: A Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator

17 November 2014
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
    3DV
ArXivPDFHTML

Papers citing "Show and Tell: A Neural Image Caption Generator"

50 / 2,022 papers shown
Title
How deep is knowledge tracing?
How deep is knowledge tracing?
Mohammad M. Khajah
Robert V. Lindsey
Michael C. Mozer
21
51
0
14 Mar 2016
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
58
1,652
0
12 Mar 2016
From virtual demonstration to real-world manipulation using LSTM and MDN
From virtual demonstration to real-world manipulation using LSTM and MDN
Rouhollah Rahmatizadeh
P. Abolghasemi
Aman Behal
Ladislau Bölöni
32
14
0
12 Mar 2016
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee
Simon Osindero
VLM
29
458
0
09 Mar 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
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
Lie Access Neural Turing Machine
Lie Access Neural Turing Machine
Greg Yang
KELM
17
17
0
28 Feb 2016
Content-based Video Indexing and Retrieval Using Corr-LDA
Content-based Video Indexing and Retrieval Using Corr-LDA
R. Iyer
Sanjeel Parekh
Vikas Mohandoss
Anush Ramsurat
Bhiksha Raj
Rita Singh
8
22
0
27 Feb 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li-Jia Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
48
5,652
0
23 Feb 2016
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh
Oriol Vinyals
B. Strope
Scott Roy
Tom Dean
Larry Heck
17
213
0
19 Feb 2016
Convolutional RNN: an Enhanced Model for Extracting Features from
  Sequential Data
Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data
Gil Keren
Björn Schuller
19
139
0
18 Feb 2016
Embracing Error to Enable Rapid Crowdsourcing
Embracing Error to Enable Rapid Crowdsourcing
Ranjay Krishna
Kenji Hata
Stephanie Chen
Joshua Kravitz
David A. Shamma
Li Fei-Fei
Michael S. Bernstein
LRM
25
90
0
14 Feb 2016
Face Attribute Prediction Using Off-the-Shelf CNN Features
Face Attribute Prediction Using Off-the-Shelf CNN Features
Yang Zhong
Josephine Sullivan
Haibo Li
CVBM
16
102
0
12 Feb 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
31
12
0
12 Feb 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory
Learning Efficient Algorithms with Hierarchical Attentive Memory
Marcin Andrychowicz
Karol Kurach
36
51
0
09 Feb 2016
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Colin S. Lea
A. Reiter
René Vidal
Gregory Hager
12
268
0
09 Feb 2016
The Role of Typicality in Object Classification: Improving The
  Generalization Capacity of Convolutional Neural Networks
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks
Babak Saleh
Ahmed Elgammal
J. Feldman
14
16
0
09 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
Generate Image Descriptions based on Deep RNN and Memory Cells for
  Images Features
Generate Image Descriptions based on Deep RNN and Memory Cells for Images Features
Shijian Tang
Song Han
VLM
15
1
0
05 Feb 2016
Survey on the attention based RNN model and its applications in computer
  vision
Survey on the attention based RNN model and its applications in computer vision
Feng Wang
David Tax
AI4TS
AIMat
27
113
0
25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural
  Networks for Low-power Neuromorphic Hardware
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
P. U. Diehl
Guido Zarrella
A. Cassidy
Bruno U. Pedroni
Emre Neftci
24
217
0
16 Jan 2016
Multimodal Pivots for Image Caption Translation
Multimodal Pivots for Image Caption Translation
Julian Hitschler
Shigehiko Schamoni
Stefan Riezler
25
97
0
15 Jan 2016
Automatic Description Generation from Images: A Survey of Models,
  Datasets, and Evaluation Measures
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Raffaella Bernardi
Ruken Cakici
Desmond Elliott
Aykut Erdem
Erkut Erdem
Nazli Ikizler-Cinbis
Frank Keller
A. Muscat
Barbara Plank
EGVM
VLM
27
363
0
15 Jan 2016
Implicit Distortion and Fertility Models for Attention-based
  Encoder-Decoder NMT Model
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
Shi Feng
Shujie Liu
Mu Li
M. Zhou
32
44
0
13 Jan 2016
Language to Logical Form with Neural Attention
Language to Logical Form with Neural Attention
Li Dong
Mirella Lapata
AI4CE
NAI
26
726
0
06 Jan 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D
  View Synthesis
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang
Scott E. Reed
Ming-Hsuan Yang
Honglak Lee
VOT
11
314
0
05 Jan 2016
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny
Ahmed Elgammal
Babak Saleh
28
41
0
31 Dec 2015
DNA-Level Splice Junction Prediction using Deep Recurrent Neural
  Networks
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
Byunghan Lee
Taehoon Lee
Byunggook Na
Sungroh Yoon
17
43
0
16 Dec 2015
RNN Fisher Vectors for Action Recognition and Image Annotation
RNN Fisher Vectors for Action Recognition and Image Annotation
Guy Lev
Gil Sadeh
Benjamin Klein
Lior Wolf
17
163
0
12 Dec 2015
Neural Self Talk: Image Understanding via Continuous Questioning and
  Answering
Neural Self Talk: Image Understanding via Continuous Questioning and Answering
Yezhou Yang
Yi Li
Cornelia Fermuller
Yiannis Aloimonos
14
24
0
10 Dec 2015
Video captioning with recurrent networks based on frame- and video-level
  features and visual content classification
Video captioning with recurrent networks based on frame- and video-level features and visual content classification
Rakshith Shetty
Jorma T. Laaksonen
13
31
0
09 Dec 2015
MovieQA: Understanding Stories in Movies through Question-Answering
MovieQA: Understanding Stories in Movies through Question-Answering
Makarand Tapaswi
Yukun Zhu
Rainer Stiefelhagen
Antonio Torralba
R. Urtasun
Sanja Fidler
35
736
0
09 Dec 2015
Simple Baseline for Visual Question Answering
Simple Baseline for Visual Question Answering
Bolei Zhou
Yuandong Tian
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
FAtt
27
323
0
07 Dec 2015
Fixed-Point Performance Analysis of Recurrent Neural Networks
Fixed-Point Performance Analysis of Recurrent Neural Networks
Sungho Shin
Kyuyeon Hwang
Wonyong Sung
MQ
21
61
0
04 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan
Jimei Yang
Kihyuk Sohn
Honglak Lee
DRL
GAN
19
768
0
02 Dec 2015
On Learning to Think: Algorithmic Information Theory for Novel
  Combinations of Reinforcement Learning Controllers and Recurrent Neural World
  Models
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
Jürgen Schmidhuber
19
101
0
30 Nov 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
24
329
0
25 Nov 2015
Neural GPUs Learn Algorithms
Neural GPUs Learn Algorithms
Lukasz Kaiser
Ilya Sutskever
25
367
0
25 Nov 2015
Learning with Memory Embeddings
Learning with Memory Embeddings
Volker Tresp
Cristóbal Esteban
Yinchong Yang
S. Baier
Denis Krompass
24
30
0
25 Nov 2015
Natural Language Understanding with Distributed Representation
Natural Language Understanding with Distributed Representation
Kyunghyun Cho
GNN
BDL
21
55
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
57
1,159
0
24 Nov 2015
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
34
456
0
23 Nov 2015
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings
  Using Abstract Scenes
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
Satwik Kottur
Ramakrishna Vedantam
José M. F. Moura
Devi Parikh
VLM
22
85
0
22 Nov 2015
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge
  from External Sources
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources
Qi Wu
Peng Wang
Chunhua Shen
A. Dick
Anton Van Den Hengel
14
370
0
22 Nov 2015
Gradual DropIn of Layers to Train Very Deep Neural Networks
Gradual DropIn of Layers to Train Very Deep Neural Networks
L. Smith
Emily M. Hand
T. Doster
AI4CE
21
33
0
22 Nov 2015
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
28
946
0
19 Nov 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
37
542
0
19 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
34
2,341
0
19 Nov 2015
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding
  For Image & Text Retrieval
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval
Youssef Mroueh
E. Marcheret
Vaibhava Goel
19
3
0
19 Nov 2015
Multi-task Sequence to Sequence Learning
Multi-task Sequence to Sequence Learning
Minh-Thang Luong
Quoc V. Le
Ilya Sutskever
Oriol Vinyals
Lukasz Kaiser
AIMat
36
806
0
19 Nov 2015
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